# Intenseye — llms-full.txt
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> Intenseye is a real-time AI workplace safety platform. It runs computer-vision
> AI on a facility's existing cameras or on Intenseye's own Sentinel devices to
> detect serious-injury-and-fatality (SIF) risks as they happen — pairing
> detection with in-the-moment intervention, coaching, and measurable impact
> tracking across safety, operations, and quality.
## Key pages

### Intenseye - Real-time AI workplace safety platform

URL: https://www.intenseye.com/

COMPUTER VISION FOR WORKPLACE SAFETY See the risks. Prevent the SIFs.
Intenseye is a real-time AI workplace safety platform that runs computer vision on the cameras you already have — or our Sentinel devices — to detect 50+ types of high-risk hazards as they happen. Your team acts on SIF exposures in the moment, not after the investigation.
Book a demo
TRUSTED BY LEADERS AT
THE GAP
Why SIFs keep happening
Manual audits and checklists miss critical risks, causing SIFs to increase. Relying on lagging indicators and manual methods keeps facilities from modernizing safety.
You can't prevent
what you can't see
Safety teams work hard, but what you can't see are hidden risks turn into serious injuries and fatalities - leaving teams one step behind preventable tragedies.
CLOSE THE LOOP ON SAFETY Close the loop from detection to prevention
Intenseye detects SIF precursors in real time, helps teams act in the moment, and turns every event into evidence for coaching, follow-up, and measurable risk reduction.
Climbing · pSIF
PRIVACY BY DESIGN
Facial and body blurring
Dynamic masking
Timestamp anonymization
LIVE
Watching every camera, around the clock.
Stop it in the moment.
Turn each alert into a coaching moment.
Watch risk fall - and prove it.
INSIGHTS · ALL SITES
Risk is trending down - with proof.
POTENTIAL SERIOUS INJURIES AND FATALITIES (PSIF)
93 ↓ 11.4%
PSIF EVENTS · LAST 7 DAYS
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
OPERATIONAL EFFICIENCY
14h 19m ↑ 1.7%
CAMERA UPTIME AVERAGE PER DAY
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
SENTINEL SPEAKER · LIVE ANNOUNCEMENT
“Quick safety check in zone 4 - let's pause and step down from the ladder. We'll set up safe access together.”
Climbing coaching session ready
Phoenix-CAM-04 · Sun 6/7/2026, 21:15:22 MST
COACHING CONTENT Generated by Chief
Observation
A climbing behavior was detected at Phoenix-CAM-04 at 21:15:22 MST during the evening shift, and flagged as a potential SIF - a high-risk scenario worth understanding before it repeats.
Discussion prompts
What made climbing seem like the quickest way to get the job done here?
What missing access or equipment makes climbing tempting instead of a ladder or platform?
What would need to change in this zone so climbing is clearly never the option?
SHARE
Microsoft Teams Slack Google Chat
01 Detect AI watches every camera, 24/7, and flags the risks that lead to SIFs - with video evidence. 02 Act Stop it in the moment - speakers, lights, alerts, or a PLC hard stop. 03 Coach Every event becomes a ready-made coaching session for the crew involved. 04 Track impact Watch pSIF risk fall week over week - and prove the program works.
BUILT FOR INDUSTRIAL VISIBILITY From safety risks to process checks, see it all in real time.
Intenseye helps industrial teams see the risks, movement patterns, and process conditions that shape safety outcomes, operational performance, and quality compliance.
Safety
Prevent serious injuries and fatalities in real time, across 50+ hazard types.
PPE compliance Vehicle–pedestrian Area & zone controls Ergonomics Housekeeping Behavioral safety
Explore Safety →
Operations
See bottlenecks, asset use, and cycle time without walking the floor.
Pathway analysis Asset utilization Cycle-time Cross-site benchmarking
Explore Operations →
Quality
Verify hygiene, QA-station checks, and cold chain continuously - with time-stamped proof.
Hygiene & handwashing QA-station checks Cleanroom integrity Cold-chain 5S readiness
Explore Quality →
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
SENTINEL HARDWARE Hardware that acts on the floor.
Sentinel extends Intenseye into the physical spaces where risks happen, adding specialized sensing, edge computing, and real-time response for your highest-priority use cases.
Core Hub Hub Pro Beacon Thermal Speaker Solar Depth Hard Stop
SENTINEL CORE Motorized dome safety camera
The flagship eye on your floor - sees wide, tracks motion, and feeds detection in real time.
Learn more → ‹ ›
4K @ 30FPS Reads a torn glove or open guard across the bay.
50+ DETECTIONS PRELOADED PPE, ergonomics, vehicles, zones - from day one.
0.005 LUX + IR TO 50M Color in near-dark, IR in pitch black.
120dB WDR · IP67 · −40–60°C Handles glare, dust, and heat on the floor.
SENTINEL HUB Industrial edge AI compute
Runs AI on-site for the cameras you already have.
Learn more → ‹ ›
NVIDIA JETSON ORIN NX GPU edge AI; every frame processed on-site.
YOUR CAMERAS OR OURS · 200+ BRANDS Connects existing CCTV and Sentinel devices.
PoE · CAN BUS · RS-485 · DI/DO Talks to modern and legacy PLCs.
FANLESS · −20–60°C · 9–36V DC Industrial-grade; runs where IT closets can't.
SENTINEL HUB PRO High-density edge compute
Scales detection across the largest sites from a single rack.
Learn more → ‹ ›
NVIDIA JETSON THOR T5000 ~2070 TFLOPS - flagship edge compute.
128GB LPDDR5X More models and streams, no sweat.
UP TO 25 DEVICES, ONE BOX Scales a whole facility from one server.
4× 25GbE · CAN FD · TPM High-bandwidth, secure, enterprise-scale.
SENTINEL BEACON PoE LED signal tower + buzzer
Turns detections into instant, floor-level light and sound.
Learn more → ‹ ›
5-TIER LED · 9 COLORS Up to 21 in Smart Mode - 11 display patterns.
BUZZER ≥85 dB · 11 SOUNDS Tones from 2,400-4,800 Hz, heard across the floor.
ONE PoE CABLE IEEE 802.3af - power and data over a single RJ-45.
DETECTION → TIER + TONE Intenseye maps each alert to color, pattern, and sound.
SENTINEL THERMAL Heat & electrical hazard camera
Sees temperature anomalies people and standard cameras miss.
Learn more → ‹ ›
DUAL SENSOR · THERMAL + OPTICAL Sees heat and the scene together.
NETD < 50 mK Resolves heat differences the eye can't.
−20–150°C · ±2°C Alarms on threshold, difference, or rise.
EARLY FIRE TO ~417M Learns the baseline; catches a hot spot early.
SENTINEL SPEAKER IP horn speaker + mic
Warns workers in the moment, right where the hazard is.
Learn more → ‹ ›
UP TO 120dB (30W) Heard over machinery, the moment it matters.
TWO-WAY INTERCOM Built-in mic - warn and talk back to the floor.
IP66 · −30–60°C Sealed and rugged, indoor or outdoor.
PoE / 12–24V · SIP/ONVIF Drops into your network, triggers on detection.
Coming soon SENTINEL SOLAR 4G-solar camera kit
Brings detection to remote yards with no power or network.
Learn more → ‹ ›
4G/LTE · NO NETWORK NEEDED Streams detection from anywhere with cellular.
SOLAR-POWERED · OFF-GRID No mains power, no trenching, no wiring.
REMOTE YARDS & OUTDOOR ZONES Coverage where cameras never reached.
RAPID POLE-MOUNT Drop it on a pole and it's watching.
SENTINEL DEPTH Reach-in & machine guarding
Guards presses, winders, and robotic cells from reach-in.
Learn more → ‹ ›
STEREO 3D · METRIC DANGER PLANE A real 3D boundary around the machine.
FUSES DETECTION + POSE + DEPTH Multi-model fusion, robust to glare and angles.
HAND CROSSES PLANE → STOP Guards winders, presses, robotic cells.
AUDITABLE 3D EVIDENCE Every alert ties to real geometry.
HARD STOP Industrial PLC hard-stop
Halts a machine the instant someone steps into danger - in 0.8s.
Learn more → ‹ ›
SIGNAL → STOP IN ~0.8s Sub-second - faster than a person can react.
MODERN & LEGACY PLCs Integrates with the controls you already run.
START-INHIBIT + INTERLOCK Motion only when every condition is safe.
TAMPER → FAIL-SAFE A covered or defeated camera triggers a safe stop.
SOFTWARE The software that turns video into prevention.
One platform to detect, act, and track impact.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Ergonomics LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
HQ · NEW YORK 🇺🇸
PROVEN AT GLOBAL SCALE Built for enterprise teams operating worldwide.
Deployed across 45+ countries, Intenseye helps teams standardize real-time safety visibility across global operations.
25B+
frames analyzed daily
100 K+
workers protected
400 +
facilities live
CALCULATE YOUR ROI Estimate the return on your investment in Intenseye
Estimate the incidents, claims, and downtime you'd avoid.
Estimate your return
See what Intenseye could save you
Facilities − +
Workers / facility 800
Cameras / facility 80
Current recordable rate 3.0
Industry Metals & Steel Industrial Manufacturing Automotive Warehousing & Logistics Food & Beverage
Scenario Conservative Expected Aggressive
Net value Safety Operations
Estimated annual value
$ 4.0M range $ 3.5M – $ 4.5M
Incidents prevented / yr
84
Payback period
2 mo
Show the math ▾ Incidents avoided × $42k $ 3.5M
Downtime & throughput $ 392k
Insurance premium $ 56k
Net annual value $ 4.0M
Illustrative estimate - not a quote.
Want the full model - NPV, payback by site, and an exportable business case? Build your full business case →
TESTIMONIALS Hear directly from our customers
▶
” It's not about the cameras.
It's about the people we send home.”
BOB MALIN
SVP of EHS & S, CRH Americas Building Products
Building products · multi-site North America
▶
” The numbers don't lie. Every category of savings showed up in the P&L.”
HANS RUDELSBERGER
Global Head of EHS and Operational Sustainability
Flexible packaging · global manufacturer
RESOURCES Get smarter about preventing SIFs.
Explore all resources →
Blog The prevention playbook 60+ articles Read → Library Detection / Use-case Library 50+ use cases Explore → FAQ Answers for EHS leaders 90+ answers Browse → Guide Deep-dive guides Implementation & ROI Read → Case study Customer case studies Proof from the floor See results → Event Events & webinars Live & on-demand Register → Podcast Voices in safety Conversations with EHS leaders Listen → Glossary The EHS & AI glossary Plain-language terms Look up → Press Press / Newsroom Latest from Intenseye Read →
‹ ›
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### The story of Intenseye | On a mission to save lives

URL: https://www.intenseye.com/about-us/

Problem & mission Every 8 seconds, a worker is injured on the job. We're here to change that.
At Intenseye, we believe every worker deserves to go home safe. We're building the AI platform that empowers industrial organizations to identify risk earlier, prevent incidents, and create safer workplaces.
Global footprint Our platform processes over 25 billion frames daily
Protecting frontline teams across 45+ countries, 92 cities, and 400+ facilities — run from New York, with R&D in Berlin and Istanbul.
25B+
frames processed daily
45 +
countries
92
cities
400 +
facilities
Life at Intenseye Our values
Five values shape how we work — how we build, how we own outcomes, and how we treat the people whose safety our software is responsible for.
Build it.
We are all builders here. We build products, processes, and relationships. We create, experiment, learn, and improve together. Building is everyone’s job.
Be on it.
We do what we say we’ll do. We take ownership, communicate openly, and keep each other informed. We show up for one another and follow through.
Show up.
We show up with curiosity for our customers, teammates, and ourselves. We ask real questions, stay present, and never just go through the motions.
Care deeply.
We care about the people we work with and the lives we’re here to protect. We lead with empathy, support one another, and always put people first.
Raise the bar.
We never settle for good enough. We challenge ourselves to learn, improve, and grow. Small, consistent improvements add up to extraordinary results.
Milestones How we got here
2018 Founded Intenseye starts with one question: why is safety still reactive?
2020 $ 4M Series Seed investment
2021 $ 25M Series A investment
2024 $ 64M Series B investment
2025 140+ AI & EHS professionals across three hubs
PERSON ·98
PERSON ·99
ZONE · WORK AREA
MACHINE · LASER CUTTER
MACHINE · AD-S 60400
Our approach to AI ethics Intenseye is dedicated to saving lives with integrity and innovation
We don't just believe in the transformative power of AI — we champion its responsible use by integrating ethical principles into the heart of AI development, ensuring our technology enhances lives while upholding the highest standards of integrity and social responsibility.
Harm-benefit Autonomy Justice
Accuracy & reliability
We provide you with accurate data to help improve the safety of your operation.
Security
Data privacy is important to us. Your data is encrypted and deleted as per your custom retention policy.
Safety
Keeping workers healthy and safe is the core of our business.
Wellbeing
We know a happy and healthy workforce is what drives you to success every day.
Impact
Make your cameras work for you, impacting your most important asset, your people.
Efficiency
Our data helps you dedicate your time to where your team needs you most.
Our investors Backed for the long run
Partnering with world-renowned VCs to shape the future of workplace safety and AI.
AirStreet Capital Nathan Benaich Point Nine Capital Ricardo Sequerra Amram Insight Partners Teddie Wardie Lightspeed Ventures Frederick Ball
Individual investors
Cem Kent
Cem Kent is the Co-founder & CEO at Harmonya, an AI-powered product data classification and enrichment platform for retailers and manufacturers.
Zane Lackey
Zane Lackey is a General Partner at Andreessen Horowitz where he invests in modern Platform Engineering, DevTools, and cybersecurity companies. Previously he co-founded Signal Sciences.
Alex Dalyac
Alex Dalyac is Co-founder & CEO of Tractable, an artificial intelligence company, specialized in visual tasks for traditional industries.
Zehan Wang
Zehan Wang was previously Engineering Lead of Cortex Applied Research at Twitter and was Co-founder / CTO at Magic Pony Technology before acquisition by Twitter.
Our offices Where we work
Three hubs, one mission — protecting workers across 45+ countries.
HQ New York 220 W 19th St
Floor 4
New York, NY 10011
Türkiye Istanbul Caferağa, Şifa Sk. No: 19
34710 Kadıköy
İstanbul
Germany Berlin Wilhelm-Kabus-Straße 24
10829 Tempelhof-Schöneberg
Berlin
Work with us Join the journey to zero
See open roles →
Book a demo →

### Intenseye blog | Insights on safety and AI

URL: https://www.intenseye.com/blog/

Resources / Blog Safety and AI insights from industry leaders and experts.
Perspectives on SIF prevention, EHS strategy, and AI-powered safety from Intenseye and the field.
All posts Topic All Safety Data Product Announcement AI
Safety PSIFs are one of the most underused "signal" metrics in safety.
Data What It Looks Like When a Safety Program Starts Getting Smarter Over Time
Safety Your Safety Team Isn't Missing Data. It's Missing a Way to Act on It.
Product What a Safety AI Agent Actually Does in Your EHS Program (A Practical Look at Chief)
Safety Intenseye TV: Safety Data Belongs on the Floor
Safety Why Safety Is Moving Toward Physical AI
Safety How to Identify Hidden Safety Exposure During Non-Routine Work
From Detection to Prediction: Intenseye Integrates NVIDIA Cosmos Reason 2
Safety Women Who Lead Safety Forward
Announcement Intenseye Named WEF Global Innovator: A New Era for Safety
AI A Closer Look at Sentinel’s Physical AI Architecture
Safety The Future of Human–Machine Collaboration Starts With Safety
Announcement Introducing Sentinel: Physical AI System for Safety
Safety From Hazard Hunting to Exposure Reduction: A New Role for EHS Leaders
Safety Why manufacturing companies now see safe workplaces as a competitive advantage
Safety SIF Prevention at Scale in Food & Beverage: Tackling High-Severity Incidents in Real Time
AI Seeing The Unseen: Leveraging Computer Vision To Detect Potential SIFs In Real-Time
Safety Preventing Collision Zone Incidents Before They Happen
Safety What’s familiar may not be the safest option: Overcoming familiarity bias
Safety Why near misses aren’t enough: The rise of pSIF-driven safety
AI A perfect intersection: Privacy by design and ethical AI
Safety Mastering SIF prevention through real-time safety management
Safety EHS & ESG: Are we finally getting it right?
AI An ethical approach: Human-AI collaboration in workplace safety
AI How was Intenseye born?
Safety Setting new industry standards in EHS
Announcement Spring into safety: Intenseye dominates G2 Spring 2025 Reports
Safety How do you measure the impact of safety?
Safety How AKA Automotive reduced ergonomic risks by 71%
Safety Catalzying EHS transformation in leading safety indicators
Safety Why should you invest in EHS AI software to reduce safety costs?
Safety Work-as-Imagined vs Work-as-Done: Can we measure the gap?
AI The EU AI Act: Regulatory standard for responsible AI
Safety AI in workplace safety: An EHS director’s perspective
Product From vision to reality: The development of Chief
Announcement Introducing Chief: The AI platform designed to solve safety’s biggest challenge
AI Ethical AI practices for workplace safety
Safety How to improve behavior-based safety through AI
AI A guide to safer SaaS purchasing: Top 4 questions for CIOs to ask when evaluating computer vision AI vendors for EHS
Safety 6 steps to conducting effective workplace safety inspections with AI
Product Enhancing global EHS management through leading indicators
How to reduce CCTV video streaming bandwidth usage
Safety A day in the life of an EHS Supervisor with Intenseye mobile app
Product Optimizing safety management from the plant floor to the boardroom
Safety How is artificial intelligence helping in PPE detection?
AI Inside the EU AI Act and its implications for EHS
Safety Road safety management with computer vision AI
Safety How to leverage AI to manage supply chain safety risks
Product Modernize EHS task management for enhanced safety
Safety Breaking the safety plateau with AI
Announcement Call to action: A new era for workplace safety
Safety Journey to zero: A guideline to an injury-free workplace
Safety The history of Ergonomics
Product Visualizing safety risks with AI
Safety A day in the life of an EHS manager
Safety The role of AI in bridging safety work and safety of work
Safety How to reduce unsafe acts & conditions
Safety Enhancing forklift and pedestrian safety with AI
Safety Zero incident goal: Destination or a continuous journey?
Interview with the Wire Journal International
No posts in this topic yet.
Load more ↓
Journey to Zero Real-time solutions for rapid safety outcomes
Reduce your safety risk today.
Schedule a demo →
Book a demo →

### Careers at Intenseye | Shape the future of safety AI

URL: https://www.intenseye.com/careers/

Careers Shape the future of safety AI with Intenseye
Grow with Intenseye and join our global mission to redefine workplace safety and help save lives with the world’s most advanced AI-powered safety management software.
Join the journey to zero Open positions
6 open roles
Customer & Technical Support Application Support Engineer Location New York, New York Learn more → Customer Success Customer Success Manager Location New York, New York Learn more → Implementation Implementation Manager Location New York, New York Learn more → Solutions Engineering Pre -Sales Solutions Engineer (New York) Location New York, New York Learn more → Solutions Engineering Pre-Sales Solutions Engineer (Turkiye) Location Istanbul Learn more → Engineering Software Engineer Location New York, New York Learn more →
Life at Intenseye Company values
Our values guide every decision we make and shape how we work together. They define how we operate, collaborate, and grow—and we strive to live by them every day.
Build it.
We are all builders here. We build products, processes, and relationships. We create, experiment, learn, and improve together. Building is everyone’s job.
Be on it.
We do what we say we’ll do. We take ownership, communicate openly, and keep each other informed. We show up for one another and follow through.
Show up.
We show up with curiosity for our customers, teammates, and ourselves. We ask real questions, stay present, and never just go through the motions.
Care deeply.
We care about the people we work with and the lives we’re here to protect. We lead with empathy, support one another, and always put people first.
Raise the bar.
We never settle for good enough. We challenge ourselves to learn, improve, and grow. Small, consistent improvements add up to extraordinary results.
Benefits Our team benefits
Parental leave
Flexible PTO *
Education & wellness stipend
Stock option plan
401k match *
Premium health benefits
In-office meal vouchers
Remote August
* US-based employees.
Company culture People first, always
Diversity & inclusion
Our people are at the heart of everything we do. We believe the best ideas come from diverse perspectives, and we’re committed to creating a culture where everyone feels valued, included, and excited to do their best work. Across our three offices and dozens of backgrounds, we bring our whole selves to work to help protect workers everywhere.
Team events
Our offices Where we work
Three hubs, one mission — protecting workers across 45+ countries.
HQ New York 220 W 19th St
Floor 4
New York, NY 10011
Türkiye Istanbul Caferağa, Şifa Sk. No: 19
34710 Kadıköy
İstanbul
Germany Berlin Wilhelm-Kabus-Straße 24
10829 Tempelhof-Schöneberg
Berlin
Journey to zero Learn more about our why
See how Intenseye helps safety teams move from reacting to risks to preventing them, helping protect workers and save lives every day.
About us →
Book a demo →

### Contact us | Intenseye

URL: https://www.intenseye.com/contact-us/

Contact us
Talk to the right team.
Careers careers@intenseye.com View our open roles here .
Press & Media press@intenseye.com Interviews, briefings and brand assets.
Legal legal@intenseye.com Contracts, privacy and security reviews.
General Inquiries info@intenseye.com Anything that doesn't fit the boxes above.
Our offices Where we work
Three hubs, one mission — protecting workers across 45+ countries.
HQ New York 220 W 19th St
Floor 4
New York, NY 10011
Türkiye Istanbul Caferağa, Şifa Sk. No: 19
34710 Kadıköy
İstanbul
Germany Berlin Wilhelm-Kabus-Straße 24
10829 Tempelhof-Schöneberg
Berlin
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Customers - proven workplace-safety outcomes | Intenseye

URL: https://www.intenseye.com/customers/

HQ · NEW YORK 🇺🇸
CUSTOMERS Trusted on the world’s most demanding floors.
Intenseye protects 100K+ workers across 400+ facilities in 45+ countries, analyzing 25B+ frames a day — helping safety teams at companies like Huhtamaki, Henkel, and Oldcastle APG detect risk, intervene faster, and track progress.
25B+
frames analyzed daily
100K+
workers protected
400+
facilities live
45+
countries
6
continents
50+
hazard types
TRUSTED BY LEADERS The world’s most demanding operations run on Intenseye.
THE ECONOMY WE PROTECT The footprint behind the logos.
The world's leading enterprises trust Intenseye with their people's safety. Here's where they put us to work — ranked by share of our customer base.
Share of Intenseye customer facilities by industry
Food, beverage & consumer goods → Industrial manufacturing → Automotive → Chemicals → Building materials → Metals & steel → Paper, packaging & containers → Construction & engineering
Air cargo, logistics & transport →
SUCCESS STORIES Our customers measure success in injuries that didn't happen.
Oldcastle APG Building materials Huhtamaki Paper & packaging Henkel Consumer goods & chemicals Swire Coca-Cola Food & beverage Coats Textile manufacturing
OLDCASTLE APG BUILDING MATERIALS
01 The challenge
A mature safety program still carried live machine-contact exposure on the floor - and needed real-time prevention, not after-the-fact reporting.
pSIF
Machine-contact exposure live between walkthroughs
02 What Intenseye did
Forward-deployed engineers embedded on the floor, deployed Sentinel Core cameras integrated with the machines already there, and built a machine hard-stop foundation - a partner-not-vendor engagement.
On-floor
Forward-deployed engineers embedded with the site team
03 The outcome
A sub-second path from detection to a stopped machine - and a relationship the EHS team describes as a true partnership built on trust.
0.8s
From detection to machine hard-stop
The Intenseye team approached this project with a level of care and operational respect that is rare in technology deployments - a true partnership built on trust.”
Bob Malin · VP of EHS, Oldcastle APG (a CRH company)
Read the CRH story →
HUHTAMAKI PAPER & PACKAGING
01 The challenge
Drive risk down across a global manufacturing footprint with live, 24/7 exposure - and build a forward-looking safety culture, not just lagging reports.
600+
Lost-time days before Intenseye
02 What Intenseye did
Deployed across 10+ countries and 23 facilities since 2023 on the cameras already on-site - real-time detection of unsafe acts and conditions, machine guarding on winders, and leading indicators to prove effectiveness.
23
Facilities live across 10+ countries
03 The outcome
Recordable-incident rate down 40% in phase one - on track for ~50% - with lost-time days collapsing from over 600 to below 150 .
40% ▼
TRIR in phase one
<150
Lost-time days now
We were at over 600 lost-time days before Intenseye, and now we are below 150 - when you calculate the loss per lost-time day, you see how quickly this pays off.”
Hans Rudelsberger · VP of EHS, Huhtamaki
Read the Huhtamaki story →
HENKEL CONSUMER GOODS & CHEMICALS
01 The challenge
See and act on unsafe acts in real time across the supply chain, and drive potential-SIF and vehicle–pedestrian risk toward zero.
470
Restricted-area entries per camera at one loading dock · Aug 2024
02 What Intenseye did
Went live on existing cameras, detecting unsafe acts and conditions in real time - a program that won the Henkel Global Supply Chain Award . At one loading dock, restricted-area entries fell from 470 to 19 alerts per camera across the fall of 2024.
19 ▼
Entries per camera by Nov 2024
03 The outcome
Total incident rate driven from 3.3 to zero , with potential-SIF exposure eliminated and vehicle–pedestrian interactions down 60%.
3.3 → 0
TRIR across the supply chain
60% ▼
Vehicle–pedestrian interactions
Seeing unsafe acts the moment they happen changed how our teams work - we act before something becomes an incident, and the floor trusts it.”
H. Emre Boz · Health-Safety & Admin Affairs Manager, Supply Chain · Henkel
Read the Henkel story →
SWIRE COCA-COLA FOOD & BEVERAGE
01 The challenge
Swire Coca-Cola set an ambitious goal: cut total incident rate by 50% by the end of 2030 . Getting there meant finding and mitigating risks before they escalate - not reacting to lagging reports.
2030
Target: total incident rate halved
02 What Intenseye did
Integrated AI-powered EHS management into the safety strategy in Hong Kong SAR - real-time identification and mitigation of safety hazards on the floor, with data the team could act on immediately.
37,000+
Employees across the operation
03 The outcome
Over 60% reduction in hazard detections in 2022 alone, and a 27% decrease in lost day rate within a year.
27% ▼
Lost day rate within a year
60% ▼
Hazard detections in 2022
Read the Swire Coca-Cola story →
COATS TEXTILE MANUFACTURING
01 The challenge
On-site vehicle risk was hard to see: unsafe driving behaviors and road conditions between periodic observations, with no data to target corrective action.
18,000+
Employees across 50+ facilities worldwide
02 What Intenseye did
Computer vision AI on the existing CCTV infrastructure let the Coats safety team observe road conditions and identify risks like speeding in real time - and act on the data with driver training and targeted behavioral programs.
20% ▼
Speeding detections in the first week
03 The outcome
A 20% reduction in speeding detections within the first week; persistent communication and enforcement drove the reduction past 50% .
50% ▼
Speeding incidents cut in half
Read the Coats story →
TESTIMONIALS Hear directly from our customers
▶
” It's not about the cameras.
It's about the people we send home. ”
BOB MALIN
SVP of EHS & S, CRH Americas Building Products
Building products · multi-site North America
▶
” The numbers don't lie. Every category of savings showed up in the P&L. ”
HANS RUDELSBERGER
Global Head of EHS and Operational Sustainability
Flexible packaging · global manufacturer
Social What our customers are saying
Unfiltered and in their own words — posts from the safety leaders and teams running Intenseye, straight from LinkedIn.
I don’t post enough on here, but last week we hit an amazing milestone that needs to be shared. Oldcastle has been hard at work with Intenseye to provide a safety solution, hard-stopping the line using AI instead of interlocked guarding, e-stops, or pull cords. Upon integration, this will be a supplementary layer of safety, but the vision is for this to change how we design plant safety and ultimately to be more reliable than behaviors and decisions alone. Last week marked the proof of concept, completing successful hard stops with 3 manufacturers’ programs. More to come, but plenty to celebrate as this has been the result of a long road of technical integration and planning. Thanks to my team, Intenseye, and all the support from Oldcastle. Lets keep marching toward the goal of Zero.
Christian Schultz Site Manager, Oldcastle APG View on LinkedIn ↗ (opens LinkedIn in a new tab)
How do you redefine workplace safety with artificial intelligence? 🤖👷‍♂️
We're thrilled to be recognized at the @Henkel Global Supply Chain Awards with our "AI Safety" project! 🏆
By integrating AI-powered analytics with our camera systems, we've transformed our Health and Safety processes into a fully proactive approach.
We now detect risks in real-time and prevent incidents before they happen.
Here's what our data shows:
🎯 0 TIR (Total Incident Ratio) - a significant drop from 3.3 in 2024!
🛡️ 100% elimination of potential SIF (Serious Injury and Fatality) risks.
🚦 60% reduction in vehicle-pedestrian interactions.
✅ Zero Lost Time Incidents.
Thank you to Intenseye for supporting us on this journey toward safer, smarter workplaces, and to all our team members who made this possible. Safety will always be our top priority!
#WorkplaceSafety
#SafetyFirst
#SupplyChain
#Innovation
#AI
#Henkel
#Intenseye
#SafetyCulture
H.Emre Boz Health-Safety & Admin Affairs Manager, Henkel View on LinkedIn ↗ (opens LinkedIn in a new tab)
Proud to lead where it matters most. Milliken & Company has been awarded the inaugural American Chemistry Council Responsible Care® Artificial Intelligence & Digitalization Award for implementing Intenseye Safety AI at our Allen Plant. 🏆
👉 https://brnw.ch/21wTvEG
This award celebrates our use of AI to drive continuous safety improvement—demonstrating how innovation can protect people, strengthen operations, and build a better future. Thank you to #TeamMilliken at our Allen plant and the American Chemistry Council for this meaningful recognition.
#DiscoverMilliken #TogetherWeStrive #ACC2025 #ResponsibleCare #InnovationInAction #SafetyDriven #SustainableProgress
Milliken & Company View on LinkedIn ↗ (opens LinkedIn in a new tab)
We are entering a new era of workplace safety at Oldcastle APG by partnering with Intenseye, a cutting-edge AI platform that enables real-time video analysis to proactively prevent accidents by flagging risks and triggering emergency stop mechanisms in just seconds. After comprehensive testing and integration, we are proud to announce that our first deployment of Intenseye’s real-time video analysis hardware is now running on-site at the first of many Oldcastle APG facilities. This joint effort marks a paradigm shift in how we approach safety in industrial environments, furthering our commitment to our team members as we stand together to reinvent the way our world is built!
Bob Malin VP of Environmental, Health, Safety, and Sustainability, Oldcastle APG View on LinkedIn ↗ (opens LinkedIn in a new tab)
It was a pleasure having you Katie, along with Kenny and Sercan.
It was a great opportunity to showcase our facility, exchange ideas and explore ways in which technology and innovation can create safer workplaces.
Thank you for the visit (and the goodie bags!), we look forward to staying connected.
Laura Jackson Behavioural Safety Specialist, Caterpillar View on LinkedIn ↗ (opens LinkedIn in a new tab)
At our Romania factory, we’re piloting the #AI-driven Intenseye Analytics solution to further strengthen safety practices in our production areas. We’ve trained the camera-equipped platform to recognize key safe behaviors, such as the correct use of protective equipment and maintaining safe distances between pedestrians and vehicles - all while ensuring employees’ privacy. This is creating new opportunities for leaders to proactively coach teams and continuously improve safety. Here’s an example of how we detect when a pedestrian and a vehicle share the same zone, helping us reinforce best practices in real time.
#SafetyDay #Manufacturing
JTI View on LinkedIn ↗ (opens LinkedIn in a new tab)
Our greatest asset lies in the unwavering dedication and skill of our workforce, diligently transforming our vision into reality. At SLMG, we prioritize their safety above all else. This International Labour Day, we are proud to highlight Intenseye, our cutting-edge AI integration in use at SLMG Kursi. IntensEye actively detects potential hazards, ensuring a safer workplace for our cherished employees. We are profoundly thankful for their invaluable contributions and are committed to their ongoing safety and well-being.
#SLMG #SLMGOne #LabourDay #IntensEye
SLMG Beverages Pvt Ltd View on LinkedIn ↗ (opens LinkedIn in a new tab)
Cathay Cargo Terminal takes lead in AI powered safety enhancements.
Cathay Cargo Terminal has become the first air cargo terminal in Hong Kong to integrate Artificial Intelligence (AI) with its existing CCTV infrastructure to enhance safety and security monitoring across its terminal buildings.
Partnering with Intenseye, a leader in AI-powered workplace safety solutions, Cathay Cargo Terminal leverages advanced computer vision and AI algorithms to monitor safety and security hazards in real time to mitigate potential incidents and improve safety at the workplace.
https://lnkd.in/grc-ghhR
#CathayCargoTerminal #DigitalLeadership #Intenseye #ArtificialIntelligence #AI #OccupationalHealthandSafety #OperationalExcellence
Cathay Cargo Terminal View on LinkedIn ↗ (opens LinkedIn in a new tab)
Coats is a pioneer in integrating AI to advance occupational health and safety, diligently applying technological solutions to foster a safer workplace.
Thanks Intenseye team developing leading indicators.
Pınar Çırpan Aras Group Health & Safety Director, Coats plc View on LinkedIn ↗ (opens LinkedIn in a new tab)
🎉 Congratulations to Intenseye for hitting the 50 reviews milestone on G2! 🎉
Your reviews are a testament to the love your customers have for your product and service, as well as a reflection of your team’s hard work.
Intenseye have been excellent partners since joining our client programme and with the guidance of Kübra Ateşavcı Demircan, Elif Cansın Erdinç & Deniz Şenliler they have gone from strength to strength in building a trusted software brand on G2 in the EHS and OHS categories.
While promoting ethical use of AI, Intenseye are Leaders in providing a solution with top notch safety & incident management.
Here’s to reaching the 100 milestone. Watch this space... 🚀
Paul Gilhooly General Manager, EMEA, G2 View on LinkedIn ↗ (opens LinkedIn in a new tab)
EXPLORE OTHER INDUSTRIES Proven across heavy industry.
The same platform protects every floor where high-energy hazards put people at risk - from stamping lines to steel mills to busy docks.
Industrial manufacturing Explore → Warehousing & distribution Explore → Food & beverage Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Paper & packaging Explore → Air cargo & logistics Explore →
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Case studies - measured workplace-safety results | Intenseye

URL: https://www.intenseye.com/customers/case-studies/

Customer stories Real results, measured on the floor
Intenseye customers measure their safety outcomes: a 25% drop in Total Recordable Incident Rate, a 27% decrease in lost day rate within a year, 200x more hazards caught than manual observation. Every number below comes from a customer's own deployment.
Case studies Industry All Food & Beverage Industrial Manufacturing Paper, Packaging & Containers Warehouses Electricity
Food & Beverage · USA 200x more hazards were identified by AI than through manual observation Catch 200x more hazards with leading indicator data Read the story →
Industrial Manufacturing · UK 20% drop in speeding cases within the first week How Coats reduced speeding incidents by 50% Read the story →
Food & Beverage · China 27% decrease in lost day rate (LDR) within a year Swire Coca-Cola: 27% decrease in LDR with Intenseye Read the story →
Paper, Packaging & Containers · Switzerland 1st day, immediate impact Transforming safety at Amcor Rigid Plastics with Intenseye Read the story →
Warehouses A leading retailer, stores in 59 cities 89% reduction in safety risks related to the absence of hard hats Managing missing PPE and work at height risks with AI Read the story →
Electricity · France Nexans enhances workplace safety with Intenseye Read the story →
Food & Beverage · Mexico 92% reduction in at-risk behaviors associated with stairway usage Significant 92% reduction in stairway fall risks Read the story →
Industrial Manufacturing · UK 93% of the frontline workers reported feeling safer 93% of employees feel safer: Transforming EHS in the textile industry Read the story →
Food & Beverage · Japan 99% increase in safety glasses compliance within a year 90% reduction in safety hazards Read the story →
No case studies in this industry yet.
Clear the filter to see every story.
Platform proof Proven impact across industries
Improving safety in restricted areas during night shifts
A metals manufacturer struggled with maintaining safety in restricted areas during night shifts, where workers were often at unsafe distances from moving machinery. By implementing Intenseye’s Area Controls solution, they:
Detected unsafe access to restricted zones in real-time using AI-powered monitoring.
Conducted plant-wide training sessions and reinforced safety protocols for night-shift workers.
Installed additional visual cues and barriers to clearly mark restricted areas.
25% increase in safety score within one month
At a large manufacturing facility, Intenseye’s Heatmap revealed repeated safety violations near conveyor lines, including employees climbing onto conveyors to retrieve items—a dangerous habit that risked serious injuries. The EHS team leveraged these insights to develop a safe work platform, dramatically reducing behavior-based risks in that area. This solution didn’t just enhance safety—it built trust among employees and showcased a commitment to their well-being.
Leading packaging company reduced nighttime safety risks
A leading packaging company noticed a surge in safety alerts during off-peak hours, raising concerns about risks in a key area. Using Intenseye’s shift-based analysis, they:
Discovered 91% of the events were detected during night shifts, linked to maintenance activities.
Partnered with the maintenance team to close gaps in safety protocols.
Implemented measures like pre-job briefings, enhanced lighting, and strict PPE enforcement.
76% to 90% Increase in safety score over 3 months.
A manufacturing facility faced high risks of vehicle-pedestrian interactions, including direct contact with moving forklifts. Traditional safety measures were not enough to prevent close calls and potential incidents. By deploying Intenseye’s Vehicle Controls AI, the site:
Detected high-risk pedestrian violations in real time.
Provided AI-driven insights, allowing targeted TBT training for employees.
Monitored safety score improvements, ensuring sustained compliance over time.
Journey to Zero Real-time solutions for rapid safety outcomes
Reduce your safety risk today.
Schedule a demo →
Book a demo →

### Intenseye - Privacy & security

URL: https://www.intenseye.com/data-privacy/

PRIVACY & SECURITY
Keeping the focus on
safety, not individuals.
Intenseye’s privacy-first AI empowers safety teams to prevent incidents while protecting employee privacy and keeping data secure.
Book a demo →
No facial recognition
Detection is based on posture and motion - never identity.
Dynamic anonymization
Faces and bodies are masked in real time, by default.
Your data stays secure
Encrypted, access-controlled, and handled to enterprise standards.
Compliant by design
Built to meet SOC 2 Type II and GDPR requirements.
PRIVACY BY DESIGN Anonymization built
into every frame
Every layer of anonymization protects the individual
while preserving the context safety teams need to act.
One-click toggles. Face blurring, 3D body anonymization, dynamic masking.
Edge anonymization. Privacy applied before data leaves the device.
Retention controls. Set clip and analytics retention per site.
Audit-friendly. Per-site policies, logs, and permissions.
01 Face blurring
All video footage undergoes automatic, irreversible face blurring to ensure no facial details can be extracted, while still providing actionable safety insights for analysis.
02 Dynamic masking
Individuals in motion are obscured in video footage, protecting their identity while preserving the context needed for effective safety analysis.
03 Timestamp anonymization
Incident timestamps are anonymized, preventing identification based on when events occur, while still enabling site-based safety analysis.
DATA PROCESSING PRINCIPLES
Six principles behind every decision
From lawful basis to confidentiality, each principle keeps data use focused on safety and nothing more.
01. Lawful basis: ensuring safety with integrity
Intenseye's data processing is grounded in legitimate and vital interests — ensuring physical security and enhancing occupational health and safety, aligned with privacy guidelines for lawful data use in workplace surveillance.
02. Purpose limitation: focused on workplace safety
Our aim is clear — to provide risk-free work environments. We focus on real-time detection of unsafe acts and conditions, aiming for zero workplace accidents through timely alerts and hazard elimination.
03. Data minimization: privacy in safety
Intenseye focuses on detecting safety risks, not identifying individuals. We employ strategies like face blurring, timestamp removal, and 3D anonymization to minimize data while maintaining effectiveness.
04. Accuracy: reliable and up-to-date data
We ensure the accuracy and currency of our data. Inaccurate data is promptly corrected or erased, and non-essential data is not stored, aligning with our commitment to data quality and relevance.
05. Storage limitations: secure and selective
Our data storage is selective and secure. We only store specific types of data, such as thumbnails and short video clips for positive safety alerts, adhering to customer-specific data retention policies.
06. Integrity and confidentiality: protecting data
Intenseye is dedicated to the security of personal data, guarding against unauthorized access and accidental loss with robust technical and organizational measures.
DATA SECURITY Securing data at every step
Intenseye integrates top-tier security protocols at every stage, ensuring your data remains protected, private, and compliant.
Personalized data segregation
Each user’s data is fully isolated, ensuring controlled access and preventing unauthorized entry.
Robust encryption
AES-256 encryption for stored data and TLS encryption for data in transit.
Continuous security training
Our employees undergo ongoing security training to stay ahead of evolving threats.
Proactive security measures
We proactively assess our systems with regular third-party penetration tests and continuous infrastructure monitoring.
Disaster recovery & backup
Redundant storage and rapid recovery capabilities ensure your operations continue uninterrupted.
SEE IT ON YOUR FLOOR See privacy-first AI on your floor
Meet with our team to see how Intenseye prevents incidents without compromising employee privacy.
Book a demo →
Book a demo →

### Detection & use case library | Intenseye

URL: https://www.intenseye.com/detection-library/

Detection & use case library The detection & use case library
Browse the detections and use cases Intenseye covers across safety, operations, and quality - the risks its AI spots on your floor in real time.
Category All categories PPE Area Controls Behavioral Safety Vehicle Controls Ergonomics Housekeeping
Industry All industries Manufacturing Food & Beverage Automotive Machinery Chemicals Warehousing Metals & Steel Building Materials Packaging & Paper Air Cargo & Logistics
NAICS code Choose an industry first
ALL A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 38 terms
✕ Clear filters
A
Apron
PPE
Checks that a protective apron is worn where splash, spark, or contamination hazards require it.
C
Clear vehicle paths
Housekeeping
Detects obstructions blocking vehicle lanes and routes.
Clear walkways
Housekeeping
Detects obstructions blocking pedestrian walkways.
Climbing
Behavioral Safety
Detects a worker climbing racking, equipment, or structures instead of using proper access.
Collision risk zone
Area Controls
Flags when people or vehicles enter an area where converging paths create a struck-by risk.
Crowding risk
Behavioral Safety
Flags when too many people gather in a confined space at the same time.
D
Designated vehicle zone
Vehicle Controls
Confirms vehicles operate only within their approved zones.
E
Electrical contact zone
Behavioral Safety
Detects entry into a zone where contact with live electrical hazards is possible.
Eye protection
PPE
Confirms safety glasses or goggles are worn in zones where eye hazards are present.
F
Face mask
PPE
Checks for a face mask or respirator covering where airborne or hygiene requirements apply.
Face shield
PPE
Detects whether a full-face shield is worn during grinding, chemical handling, or other face-hazard tasks.
Full-Body Ergonomic Risk Assessment (REBA)
Ergonomics
Identifies ergonomic risk in repetitive tasks like slicing, packaging, and ingredient handling to prevent back and shoulder strain.
G
Gloves
PPE
Verifies task-appropriate gloves are worn where hand hazards or hygiene rules apply.
H
Hard hat
PPE
Detects whether a hard hat is worn in areas with overhead or struck-by risk.
Harness Detection
PPE
Detects whether a fall-arrest harness is worn and connected when working at height.
Hearing protection
PPE
Confirms ear plugs or muffs are worn in high-noise zones.
M
Machine zone access
Area Controls
Confirms only authorized workers enter the operating envelope of a machine.
Max worker limit
Area Controls
Detects when the number of workers in an area rises above the safe limit for the task.
Min worker limit
Area Controls
Detects when the number of workers in an area falls below the safe minimum for the task.
P
Prohibited object detect
Area Controls
Flags when a banned item or object appears in a controlled area.
Protective clothing
PPE
Verifies required protective garments - coveralls, flame-resistant wear - are worn for the task.
R
Reflective vest
PPE
Confirms a high-visibility vest is worn in vehicle and traffic zones.
Restricted machine zone
Area Controls
Flags entry into a hazardous zone around running equipment.
RPE (Respiratory Protective Equipment)
PPE
Detects whether required respiratory protection is worn where airborne contaminants are present.
S
Sleeves
PPE
Checks that protective sleeves or arm guards are worn where cut, heat, or abrasion hazards exist.
T
Three points of contact
Behavioral Safety
Checks that ladders and steps are used with three points of contact maintained.
Time-restricted zone
Area Controls
Detects presence in an area during hours when access is not permitted.
U
Unattended object
Housekeeping
Flags objects left in walkways, exits, or work areas that create a trip or access hazard.
Unsafe running
Behavioral Safety
Flags running in areas where it creates a slip or collision risk.
Upper Body Ergonomic Risk Assessment (RULA)
Ergonomics
Evaluates posture during overhead reach, assembly, or sorting to reduce repetitive motion injuries in prep lines.
V
Vehicle restricted zone
Vehicle Controls
Flags a vehicle entering an area where vehicles are not permitted.
Vehicle-pedestrian proximity
Vehicle Controls
Detects a moving vehicle coming close enough to a worker on foot to risk a struck-by incident.
Vehicle-vehicle proximity
Vehicle Controls
Detects vehicles closing to an unsafe distance from one another.
W
Walkway compliance
Behavioral Safety
Confirms workers stay within designated pedestrian walkways.
Worker proximity
Behavioral Safety
Detects when workers come dangerously close to a hazard or to one another.
Worker required zone
Area Controls
Detects when an area that must be staffed is left unattended.
Working at heights
Behavioral Safety
Detects elevated work and whether fall-protection conditions are met.
Wrong-way driving
Vehicle Controls
Detects a vehicle traveling against the designated flow direction.
No terms match your search. Clear filters
Journey to Zero See the use cases in action on your floor
Schedule a demo →
Book a demo →

### Intenseye - Book a demo

URL: https://www.intenseye.com/get-demo/

See how we close the gap between risk and response.
Tell us about your operation and our team will reach out within one business day to schedule your demo. You'll see how Intenseye detects 50+ high-energy hazards on your cameras, 24/7 — down to a ~0.8s machine stop.
50+
high-energy hazards detected out of the box
24/7
on every line and cooler, every shift
~0.8s
to a machine stop at a conveyor or auger
Trusted by global industry leaders
Schedule your demo
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WHY INTENSEYE? The only AI-powered safety solution for
real-time prevention
Intenseye brings together real-time computer vision, purpose-built hardware, expert deployment, and agentic AI to help safety teams move from hazard detection to prevention at enterprise scale.
Forward deployed expertise
Built with your site teams, not from a template. Intenseye configures detection rules around your real operating environment, workflows, and risk profile.
Purpose-built hardware
Our device family delivers accurate, real-time intelligence at scale across complex industrial environments, helping teams detect risk without adding operational friction.
Agentic intelligence
Our Chief AI includes nine specialist agents, with delegation and approval workflows. Powered by NVIDIA Cosmos Reason2-8B for advanced hazard reasoning.
Real-time by design
Continuous monitoring across 50+ risk scenarios gives safety leaders an earlier read on where exposure builds during routine work. This supports faster intervention, stronger control of high-severity risks, and more consistent oversight.
BUILT FOR INDUSTRIAL VISIBILITY From safety risks to process checks, see it all in real time.
Intenseye helps industrial teams see the risks, movement patterns, and process conditions that shape safety outcomes, operational performance, and quality compliance.
Safety
Prevent serious injuries and fatalities in real time, across 50+ hazard types.
PPE compliance Vehicle–pedestrian Area & zone controls Ergonomics Housekeeping Behavioral safety
Explore Safety →
Operations
See bottlenecks, asset use, and cycle time without walking the floor.
Pathway analysis Asset utilization Cycle-time Cross-site benchmarking
Explore Operations →
Quality
Verify hygiene, QA-station checks, and cold chain continuously - with time-stamped proof.
Hygiene & handwashing QA-station checks Cleanroom integrity Cold-chain 5S readiness
Explore Quality →
CALCULATE YOUR ROI Estimate the return on your investment in Intenseye
Estimate the incidents, claims, and downtime you'd avoid.
Estimate your return
See what Intenseye could save you
Facilities − +
Workers / facility 800
Cameras / facility 80
Current recordable rate 3.0
Industry Metals & Steel Industrial Manufacturing Automotive Warehousing & Logistics Food & Beverage
Scenario Conservative Expected Aggressive
Net value Safety Operations
Estimated annual value
$ 4.0M range $ 3.5M – $ 4.5M
Incidents prevented / yr
84
Payback period
2 mo
Show the math ▾ Incidents avoided × $42k $ 3.5M
Downtime & throughput $ 392k
Insurance premium $ 56k
Net annual value $ 4.0M
Illustrative estimate - not a quote.
Want the full model - NPV, payback by site, and an exportable business case? Build your full business case →
HQ · NEW YORK 🇺🇸
PROVEN AT GLOBAL SCALE Built for enterprise teams operating worldwide.
Deployed across 45+ countries, Intenseye helps teams standardize real-time safety visibility across global operations.
25B+
frames analyzed daily
100 K+
workers protected
400 +
facilities live

### AI workplace safety for air cargo, logistics & transport | Intenseye

URL: https://www.intenseye.com/industries/air-cargo-logistics/

INDUSTRIES / AIR CARGO, LOGISTICS & TRANSPORT
Real-time visibility for Air Cargo & Logistics operations
Air cargo and logistics operations move fast across ramps, aprons, container yards, quays, parcel hubs, and transport yards. Intenseye helps safety teams detect serious-injury risks around ground-handling crews, mobile equipment, suspended loads, and freight movement before they injure workers or disrupt operations.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every ramp, yard & terminal, every shift
Real-time
vehicle–pedestrian alerts in the moment
AI SAFETY FOR AIR CARGO, LOGISTICS & TRANSPORT Why terminals are hard to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
Tugs, dollies, belt loaders, reach stackers, straddle carriers, cranes, and yard trucks moving freight past people - 24/7, often outdoors, across large sites run by multiple ground-handling crews. Vehicle and equipment conflict with people on the ground is the leading cause of serious injuries here.
Intenseye uses computer vision on the cameras you already run to detect the unsafe acts and conditions that cause them, in real time : warning workers, intervening, and proving risk is falling across every ramp, yard, and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst injuries -
Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Ground-handling & yard traffic
Tugs, reach stackers, and yard trucks crossing people.
Ramp Yard Terminal
Suspended loads & cargo handling
People under or beside containers and ULDs.
Quay Crane ULD
Conveyor & cargo sortation
Reach-in and entanglement at parcel and cargo belts.
Parcel hub Induct Sort
Falls & working at height
Trailers, ULDs, stacks, and dock edges.
Trailers Stacks Dock edge
USE CASES ON THE FLOOR The use cases that matter at a terminal or yard.
50+ detections, organized the way terminal and yard safety teams think - from the ramp to the quay to the parcel hub. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Ground-handling & yard traffic Suspended loads Conveyor & sortation Falls & work at height Heavy-equipment LOTO Ergonomics Restricted & exclusion zones Forklift–pedestrian
8
Categories
32
Hazard types
Ground-handling & yard traffic
Learn more →
Flags the proximity and warns driver and pedestrian where tugs, reach stackers, and yard trucks move freight past people.
SAFETY Struck-by SIF in an equipment path OPS A ramp or yard stop stalls the turn
Hazards detected
Pedestrian in tug / dolly lane CRITICAL Person on foot in an active tug or dolly lane.
Person in reach-stacker path CRITICAL Worker in the path of a reach stacker or straddle carrier.
Equipment over-speed in ped zone MODERATE Equipment above the limit in a pedestrian zone.
Person in reversing blind spot CRITICAL Worker in the blind spot of reversing equipment.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running sorter logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware coverage for terminals, yards, and cargo-handling zones.
Air cargo and logistics operations concentrate risk across large, fast-moving areas: ramps, aprons, container yards, quays, parcel hubs, loading zones, remote gates, and mobile equipment routes. Sentinel devices help extend visibility into these priority zones, where ground crews, vehicles, freight, and suspended loads move through the same space.
Explore all Sentinel hardware →
Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage across ramps, yards, and terminals. 3D machine guarding Sentinel Depth → Sees reach-in at sortation and cargo conveyors in true 3D. Sub-second machine stop Hard Stop → Halts a sortation line in ~0.8s on a reach-in or jam. Heat & early fire Sentinel Thermal → Sees overheating equipment and early-stage fire in cargo and battery storage.
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards that drive citations and SIFs in logistics & transport - and the leading-indicator record shows what happened and what you did about it.
1910.178 Powered industrial trucks & mobile equipment
Capture tug, reach-stacker, and forklift–pedestrian proximity and right-of-way conflicts.
1910.176 Materials handling & storage
Flag unstable loads, obstructed passage, and unsafe cargo stacking.
1910.37 / .36 Exit routes & egress
Detect blocked exits and obstructed routes across terminals and yards.
1910.23 Walking-working surfaces
Flag falls from trailers, ULDs, stacks, and dock edges.
1910.147 Control of hazardous energy (LOTO)
Detect entry to reach stackers, cranes, and conveyors that should be isolated.
1910.132 Personal protective equipment
Verify hi-vis, hard hats, and footwear in the zones that require them.
29 CFR 1917 / 1918 Marine terminals & longshoring
For sea-port operations, where applicable.
FAA / IATA Air-cargo ramp practices
Ramp ground-handling practices, where applicable - alongside the OSHA general-industry mapping.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Food & beverage Explore → Warehousing & distribution Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Paper & packaging Explore →
RESOURCES Go deeper on safety
SIF Playbook Air Cargo & Logistics Playbook
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does it work with our terminal & yard cameras (indoor and outdoor)?
Yes - about 90% of IP cameras across 200+ brands, out of the box, indoor and outdoor. For outdoor areas with no power or network, Sentinel Solar fills the gap.
How does it prevent a struck-by on the ramp or in the yard?
It detects the proximity, blind-spot, or over-speed conflict the instant it happens and warns both driver and pedestrian - before contact with a tug, reach stacker, or yard truck.
Can it cover suspended loads and cargo sortation?
Yes - area control flags people under or in the path of suspended containers and ULDs, and Depth + Hard Stop guard reach-in on cargo and parcel conveyors.
What about large outdoor areas with no power or network?
Sentinel Solar covers remote yard and terminal areas - solar-powered and connected - so coverage doesn't stop at the edge of the building.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most operations see measurable risk reduction in under six months - fewer vehicle–pedestrian near-misses, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for automotive manufacturing | Intenseye

URL: https://www.intenseye.com/industries/automotive/

INDUSTRIES / AUTOMOTIVE
Real-time visibility for Automotive Manufacturing operations
Automotive manufacturing operations move fast, with people, robots, AGVs, and production lines working in close proximity. Intenseye helps safety teams detect serious-injury risks across body shops, stamping areas, paint lines, trim, final assembly, robot cells, and vehicle movement zones before they injure workers or stop production.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every cell and line, every shift
~0.8s
to a machine stop at a robot cell or press
AI SAFETY FOR AUTOMOTIVE Why automotive floors are the hardest to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
Automotive packs the highest robot density in industry - body-shop weld cells, stamping presses, AGVs and tuggers feeding a moving line, and repetitive assembly work - all at takt. That mix is exactly where the serious injuries happen.
Intenseye uses computer vision on the cameras you already run to detect the unsafe acts and conditions that cause them, in real time : warning workers, stopping machines, and proving risk is falling across every cell and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Robotic cells & guarding
Envelope intrusion; reach-in at presses and weld cells.
Body shop Stamping Weld
AGV / tugger & line traffic
Autonomous vehicles crossing operator paths.
Trim Final Logistics
Welding & hot work
Arc flash, sparks, and fire across weld cells.
Weld cells Body shop
Ergonomics & repetitive strain
Overhead, twist-and-reach, and repetition at the line.
Assembly Trim Sub-assy
USE CASES ON THE FLOOR The use cases that matter on an automotive floor.
50+ detections, organized the way plant safety teams think - from the body shop to final assembly to parts logistics. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Robotic cell intrusion Stamping press reach-in Welding & hot work AGV / tugger traffic Conveyor / line pinch Assembly ergonomics Forklift–pedestrian LOTO / energy isolation
8
Categories
32
Hazard types
Robotic cell intrusion
Learn more →
Sees the intrusion into a live robot envelope and halts the cell in ~0.8s - before contact.
SAFETY Caught-in SIF in a live envelope OPS Cell e-stop = downtime at takt
Hazards detected
Person in live robot envelope CRITICAL Operator inside the fenced envelope during operation.
Interlock / light curtain bypassed CRITICAL Safeguard muted or defeated while the robot runs.
Entry during cycle CRITICAL Access to the cell before the cycle is stopped.
Maintenance reach-in before isolation MODERATE Reach into the cell before lockout is verified.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running conveyor logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware tuned to the automotive plant.
Intenseye runs on the CCTV you already own. Where a standard camera can't see - inside a robot cell, at a press, across a weld bay - purpose-built Sentinel devices fill the gap. Automotive needs machine guarding first, with AGV and traffic coverage close behind.
Explore all Sentinel hardware →
3D machine guarding Sentinel Depth → Sees intrusion into a live robot envelope or press in true 3D. Sub-second machine stop Hard Stop → Halts a robot cell, press, or coiler in ~0.8s on intrusion. Welding heat & fire Sentinel Thermal → Sees arc-flash heat and early fire across weld cells and the body shop. Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage and edge compute across trim, final, and logistics.
PROOF Our customers measure success in
injuries that didn't happen.
Global manufacturer
Anonymized 20+ plants
01 The challenge
Across dozens of facilities in multiple countries, leadership couldn't make high-severity risk visible or actionable at scale — so behavior change stalled and serious-injury exposure persisted plant to plant.
At scale 20+
Facilities in multiple countries — where risk wasn't visible plant to plant
02 What Intenseye did
Intenseye deployed AI-driven safety across the plants and embedded it into existing EHS workflows and leadership routines . Real-time risk detection gave every site the same view, and the program is expanding into deeper smart guarding and real-time protection for the remaining high-severity risks.
Lost-time days — annually across sites
Before ~500+
After ~120
▼ ~380 fewer lost-time days
03 The outcome
Consistent year-over-year gains: recordable incident rate down 40–45% over two years , lost-time days cut from ~500+ to ~120 — with senior EHS leadership citing the platform as a primary driver of sustained improvement.
40–45% ▼
Recordable incident rate over two years
Y/Y
Sustained improvement , cited by senior EHS leadership
Read the full story →
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards - and the robot-safety consensus standards - that drive citations and SIFs in automotive, and the leading-indicator record shows what happened and what you did about it.
1910.147 Control of hazardous energy (LOTO)
Detect reach-in and entry at robot cells and presses during operation or servicing.
1910.212 / .217 Machine guarding & power presses
Flag missing guards and personnel inside the point-of-operation zone of presses and cells.
1910.178 Powered industrial trucks
Capture forklift- and AGV–pedestrian proximity, over-speed, and right-of-way conflicts.
1910.252 Welding, cutting & brazing
Flag hot-work exposure and missing controls; catch early fire with Sentinel Thermal.
1910.132 Personal protective equipment
Verify welding PPE, hard hats, eye, and hand protection in the zones that require them.
ANSI/RIA R15.06 · ISO 10218 Industrial robot safeguarding
Support safeguarded-space monitoring around robot cells. Consensus standard - not OSHA.
1910.22 / .23 Walking-working surfaces
Flag falls from height, unprotected edges, and ladder misuse on platforms and mezzanines.
50+ Full mapping
Detections mapped to the standards that matter on the line.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Food & beverage Explore → Warehousing & distribution Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Paper & packaging Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
SIF Playbook Automotive Playbook
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does Intenseye work with the cameras in our plant?
Yes - about 90% of IP cameras across 200+ brands, out of the box. Add Sentinel only where a normal camera can't see - Depth for robot cells and presses, Thermal for weld-cell hot work.
How does it prevent an injury at a robot cell or press?
It detects the intrusion or reach-in the instant it happens, warns the worker, and can trigger Hard Stop to halt the robot or press in about 0.8 seconds.
Does it stop the line - what about takt?
It intervenes only on real, imminent risk. By catching hazards early and cutting the events that force emergency e-stops, it's designed to reduce unplanned line stops - not add them.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most plants see measurable risk reduction in under six months - fewer unsafe acts, fewer recordables and MSDs, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for building materials | Intenseye

URL: https://www.intenseye.com/industries/building-materials/

INDUSTRIES / BUILDING MATERIALS
Real-time visibility for Building Material Production environments
Building material production environments run hot, dusty, and heavy. Intenseye helps safety teams detect serious-injury risks across kilns, furnaces, crushers, conveyors, batch plants, quarries, and haul-truck routes before they injure workers or stop production.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every plant and yard, every shift
~0.8s
to a machine stop at a crusher or conveyor
AI SAFETY FOR BUILDING MATERIALS Why these floors are hard to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
Cement kilns, glass furnaces, crushers and conveyors, silos, and the heaviest mobile equipment in industry - all in dust and heat, around the clock. That mix is exactly where the serious injuries happen.
Intenseye uses computer vision on the cameras you already run (plus Sentinel Thermal for heat and early fire) to detect the unsafe acts and conditions that cause SIFs, in real time : warning workers, stopping machines, and proving risk is falling across every plant and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Heavy mobile equipment
Haul trucks and loaders crossing people on site.
Quarry Yard Plant
Crushers, conveyors & mixers
Reach-in and caught-in on batch equipment.
Crushers Conveyors Batch
Kilns, furnaces & dryers
Hot material, heat exposure, and early fire.
Kilns Furnaces Dryers
Silica dust, falls & confined space
Respirable dust, falls from silos, engulfment.
Silos Stockpiles Structures
USE CASES ON THE FLOOR The use cases that matter on a building-materials floor.
50+ detections, organized the way plant and quarry safety teams think - from the haul road to the crusher to the kiln. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Heavy mobile equipment Machine guarding LOTO at maintenance Heat & fire Confined space & silos Falls from height Silica & dust PPE Suspended loads
8
Categories
32
Hazard types
Heavy mobile equipment & vehicle–pedestrian
Learn more →
Flags the proximity and warns driver and pedestrian where haul trucks, loaders, and ready-mix cross people.
SAFETY Struck-by SIF in a haul-truck path OPS A yard stop backs up the plant
Hazards detected
Pedestrian in haul-truck path CRITICAL Person on foot in an active haul-truck path.
Person in equipment blind spot CRITICAL Worker in the blind spot of heavy equipment.
Over-speed in pedestrian zone MODERATE Vehicle above the limit in a pedestrian zone.
Person in dump / load zone CRITICAL Worker inside an active dump or load zone.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running conveyor logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware tuned to the building-materials floor.
Building material production sites need visibility across hot, dusty, and hard-to-monitor areas, from kilns and furnaces to crushers, conveyors, quarry haul roads, batch plants, and mobile equipment zones. Sentinel devices help extend coverage where serious-injury risks can escalate quickly.
Explore all Sentinel hardware →
Kiln & furnace heat, fire Sentinel Thermal → Sees radiant heat from kilns and furnaces and early-stage fire. Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage across quarry, yard, and plant. 3D machine guarding Sentinel Depth → Sees reach-in at crushers, conveyors, and batch equipment in true 3D. Sub-second machine stop Hard Stop → Halts a crusher or conveyor in ~0.8s on a reach-in.
PROOF Our customers measure success
in injuries that didn't happen.
Oldcastle APG · A CRH company Building materials
01 The challenge
A mature safety program still carried live machine-contact exposure on the floor - and needed real-time prevention, not after-the-fact reporting.
pSIF
Machine-contact exposure live between walkthroughs
02 What Intenseye did
Forward-deployed engineers embedded on the floor, deployed Sentinel Core cameras integrated with the machines already there, and built a machine hard-stop foundation - a partner-not-vendor engagement.
On-floor
Forward-deployed engineers embedded with the site team
03 The outcome
A sub-second path from detection to a stopped machine - and a relationship the EHS team describes as a true partnership built on trust.
0.8s
From detection to machine hard-stop
The Intenseye team approached this project with a level of care and operational respect that is rare in technology deployments - a true partnership built on trust.
Bob Malin · VP of EHS, Oldcastle APG (a CRH company)
Read the CRH story →
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards that drive citations and SIFs in building materials - and the leading-indicator record shows what happened and what you did about it.
1910.1053 Respirable crystalline silica
The building-materials signature - verify respiratory PPE and flag dust exposure in silica zones.
1910.147 Control of hazardous energy (LOTO)
Detect entry to crushers, mills, and conveyors that should be isolated during servicing.
1910.212 Machine guarding
Flag missing guards and reach-in at crushers, conveyors, and batch equipment.
1910.178 Powered industrial trucks & mobile equipment
Capture haul-truck, loader, and forklift–pedestrian proximity and right-of-way conflicts.
1910.146 Permit-required confined spaces
Monitor entry to and occupancy of silos and vessels, with engulfment risk.
1910.22 / .23 Walking-working surfaces
Flag falls from height on silos, kilns, structures, and stockpiles.
1910.132 Personal protective equipment
Verify hard hats, hi-vis, eye, and hand protection in the zones that require them.
MSHA Mine Safety & Health Administration
May apply at quarries & aggregate operations - alongside the OSHA general-industry mapping.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Food & beverage Explore → Warehousing & distribution Explore → Automotive Explore → Metals & steel Explore → Chemicals Explore → Paper & packaging Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
SIF Playbook Building Materials Playbook
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does Intenseye work with our plant & quarry cameras?
Yes - about 90% of IP cameras across 200+ brands, out of the box, indoor and outdoor. Add Sentinel only where a normal camera can't see - Traffic for mobile equipment, Depth + Hard Stop at crushers, Thermal at kilns.
How does it prevent a struck-by at a haul truck or loader?
It detects the proximity, blind-spot, or over-speed conflict the instant it happens and warns both driver and pedestrian - before contact.
Can it cover crushers, conveyors, and kilns?
Yes - Depth + Hard Stop guard reach-in at crushers and conveyors (machine stop in ~0.8s), and Sentinel Thermal covers heat and early fire at kilns, furnaces, and dryers.
Does it detect heat & early fire?
Yes - Sentinel Thermal sees heat, hot-material exposure, and early-stage fire at cement kilns and glass furnaces. It complements your fire and gas systems.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most producers see measurable risk reduction in under six months - fewer struck-by and caught-in exposures, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for chemicals | Intenseye

URL: https://www.intenseye.com/industries/chemicals/

INDUSTRIES / CHEMICALS
Real-time visibility for chemical plant operations
Chemical plant operations run with high-risk work happening across confined spaces, hot-work zones, loading racks, vessels, and contractor-heavy turnarounds. Intenseye helps safety teams detect serious-injury risks in real time before they become incidents, stoppages, or process-safety concerns.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every unit and vessel, every shift
Thermal
early-fire & overheating detection
AI SAFETY FOR CHEMICALS Why chemical plants are hard to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
Confined spaces, hot work in flammable atmospheres, energy isolation during turnarounds, contractor surges, and chemical-exposure PPE - in an industry where the worst events are catastrophic.
Intenseye uses computer vision on the cameras you already run to detect the unsafe acts and conditions that cause SIFs, in real time . It complements your gas detection and PSM instrumentation - it doesn't replace them.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Confined-space entry
Unauthorized entry and over-limit occupancy in tanks and vessels.
Tanks Reactors Vessels
Hot work & early fire
Ignition and overheating near flammables.
Units Hot work Flares
LOTO & turnaround risk
Energy isolation and contractor surges at turnaround.
Turnaround Maintenance
Chemical-exposure PPE
Suits, respirators, and exclusion zones.
Process Loading Racks
USE CASES ON THE FLOOR The use cases that matter in a chemical plant.
50+ detections, organized the way PSM and EHS teams think - from confined spaces to hot work to the loading rack. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Confined-space entry Hot work & early fire LOTO & turnaround Chemical-exposure PPE Line-of-fire / exclusion Vehicle–pedestrian Working at height Spills & housekeeping
8
Categories
32
Hazard types
Confined-space entry
Learn more →
Monitors entry to and occupancy of tanks, reactors, and vessels - every permit window.
SAFETY Engulfment / atmosphere risk OPS Permit compliance for entries
Hazards detected
Entry without authorization CRITICAL Access to a permit space without a valid permit.
Occupancy over limit CRITICAL More entrants than the permit allows.
Attendant absent at portal CRITICAL No attendant present at the entry point.
Entry during restricted state MODERATE Entry while the unit is in a restricted state.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running conveyor logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware coverage for chemical plant risk zones.
Intenseye runs on the CCTV you already own. Where a standard camera can't see - at a hot-work zone, a confined-space portal, a loading rack - purpose-built Sentinel devices fill the gap. Chemicals needs thermal coverage first, with wide-area coverage close behind. Classified or hazardous areas use appropriately rated, qualified cameras.
Explore all Sentinel hardware →
Heat, fire & overheating Sentinel Thermal → Sees overheating equipment and early-stage fire near flammables - heat, not gas. Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage and edge compute across continuous process units. 3D machine guarding Sentinel Depth → Sees reach-in to process and packaging equipment in true 3D. Sub-second machine stop Hard Stop → Halts equipment in ~0.8s the instant a danger zone is breached.
PROOF Our customers measure success in injuries that didn't happen.
Henkel Chemicals & consumer
01 The challenge
Across global sites, Henkel needed to see and act on unsafe acts in real time — and drive its potential-SIF and vehicle–pedestrian risk toward zero .
The goal Zero
Potential-SIF & vehicle–pedestrian risk — the target Henkel set
02 What Intenseye did
Intenseye went live on the cameras already on site , detecting unsafe acts and conditions in real time — a program that won the Henkel Global Supply Chain Award . At one loading dock, restricted-area entries fell from 470 to 19 alerts/camera in four months.
Restricted-dock alerts — per camera, in four months
Start 470
4 mo 19
▼ 451 fewer alerts per camera
03 The outcome
Total incident rate fell from 3.3 to zero , with 100% of potential SIF risks eliminated, 60% fewer vehicle–pedestrian interactions — and zero lost-time incidents.
100%
Potential SIF risks eliminated
60% ▼
Vehicle–pedestrian interactions
Read the full story →
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map to the standards that drive process-safety risk in chemicals - a real-time, leading-indicator layer that complements PSM instrumentation and gas detection, never replaces them .
1910.119 Process safety management (PSM)
A real-time behavioral layer on the work that PSM governs - complements your instrumentation.
1910.146 Permit-required confined spaces
Monitor entry to and occupancy of tanks, reactors, and vessels, with attendant checks.
1910.147 Control of hazardous energy (LOTO)
Detect entry to un-isolated equipment during turnarounds and maintenance.
1910.1200 Hazard communication
Flag unsafe handling near hazardous chemicals and labeled zones.
1910.132 / .134 PPE & respiratory protection
Verify chemical suits, respirators, and face/eye protection in process zones.
1910.252 Hot work
Flag hot-work zone breaches; catch overheating and early fire with Sentinel Thermal.
1910.178 / .23 Trucks & working surfaces
Capture forklift–pedestrian risk and falls from process structures and height.
EPA RMP Risk Management Program
Supports your Risk Management Program evidence with a leading-indicator record.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Food & beverage Explore → Warehousing & distribution Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Paper & packaging Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
ROI Study Value Delivery Study
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does it work with our plant cameras, including classified areas?
Yes - about 90% of IP cameras across 200+ brands, out of the box. In classified / hazardous (Ex) areas, Intenseye runs on appropriately rated cameras - we don't claim our hardware is Ex-rated unless verified.
How does it prevent a confined-space incident?
It detects entry to a permit space, occupancy over the limit, and attendant gaps in real time - and alerts before an unauthorized or unsafe entry becomes an incident.
Can it detect fire or overheating?
Yes - Sentinel Thermal sees heat, overheating equipment, and early-stage fire. It does not detect gas and does not replace your gas detection or process-safety instrumentation - it complements them.
Does it help during turnarounds and with contractors?
Yes - it flags entry to un-isolated equipment and contractors in restricted zones 24/7, giving stronger oversight exactly when a surge of contractors hits the highest-risk work.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most plants see measurable risk reduction in under six months - fewer confined-space, hot-work, and LOTO exposures, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for food & beverage manufacturing | Intenseye

URL: https://www.intenseye.com/industries/food-beverage/

INDUSTRIES / FOOD & BEVERAGE
Real-time visibility for Food & Beverage environments
Food and beverage operations move fast. Intenseye helps safety teams detect serious-injury risks across production lines, packaging areas, coolers, and sanitation zones before they lead to incidents or downtime.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every line and cooler, every shift
~0.8s
to a machine stop at a conveyor or auger
AI SAFETY FOR FOOD & BEVERAGE Why food & beverage floors are hard to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
High-speed lines, machine guarding on augers, conveyors, and mixers, wet floors, hot ovens and cold freezers, ammonia refrigeration, confined tanks and silos, and a sanitation shift that removes guards and adds caustic chemicals - all with high labor turnover. That mix is exactly where the serious injuries happen.
Intenseye uses computer vision on the cameras you already run to detect the unsafe acts and conditions that cause them, in real time : warning workers, stopping machines, and proving risk is falling across every line and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Machine guarding
Reach-in at augers, conveyors, mixers, slicers.
Processing Packaging Infeed
Slips, trips & falls
Standing water and slick wash-down floors.
Wash-down Processing Coolers
LOTO at sanitation
Guards off, energy live on the off-shift.
Sanitation Changeover
Forklift, ergonomics, and heat/cold
Dock traffic, packing MSDs, ovens and freezers.
Warehouse Line Ovens/Coolers
USE CASES ON THE FLOOR The use cases that matter in a food & beverage plant.
50+ detections, organized the way plant safety teams think - from processing and packaging to the sanitation shift. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Machine guarding LOTO at sanitation Slips, trips & falls Forklift–pedestrian Ergonomics Heat & hot surfaces Confined space Hygiene & PPE
8
Categories
32
Hazard types
Machine guarding
Learn more →
Detects the reach-in toward an auger, conveyor, or mixer and triggers a machine stop before contact.
Hazards detected
Reach-in at unguarded auger CRITICAL Hand toward an exposed auger or screw.
Hand near mixer / blender CRITICAL Hand inside a mixer or blender hazard zone.
Clearing jam on moving line CRITICAL Jam cleared without stopping the line.
Guard removed during run CRITICAL Fixed guard removed while equipment runs.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into an industrial mixer. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running mixer logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware tuned to the food & beverage plant.
Intenseye runs on the CCTV you already own. Where a standard camera can't see - inside a conveyor guard, in a cold dock, at an oven - purpose-built Sentinel devices fill the gap. F&B needs broad coverage first, with guarding close behind.
Explore all Sentinel hardware →
Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage across processing, packaging, and the warehouse. 3D machine guarding Sentinel Depth → Sees reach-in at augers, conveyors, mixers, and slicers in true 3D. Sub-second machine stop Hard Stop → Halts the line in ~0.8s the instant someone reaches in. Heat, cold & early fire Sentinel Thermal → Sees hot-surface exposure at ovens and fryers and early-stage fire.
PROOF Our customers measure success
in injuries that didn't happen.
Swire Coca-Cola Beverage manufacturing
01 The challenge
Across high-speed bottling and warehouse operations, Swire Coca-Cola needed to see and act on unsafe acts in real time — and prove progress toward cutting its Total Incident Rate 50% by 2030 .
Target 2030 50% ▼
Total Incident Rate — the company goal Intenseye tracks against
02 What Intenseye did
Intenseye went live on the cameras already in the plants , detecting unsafe acts and conditions in real time and routing them to the team — turning a flood of raw alerts into prioritized, reviewable risk.
Active alerts — noise cut by 60%
2021 25,508
2022 10,174
▼ 15,334 alerts resolved
03 The outcome
Hazard detections fell 60%+ in 2022 , the Lost Day Rate dropped 27% within a year — and workers began putting on reflective vests without being asked.
27% ▼
Lost Day Rate in one year
60% ▼
Hazard detections in 2022
After Intenseye was implemented, everyone started putting on their reflective vests without being asked. We can already see the system is having a positive influence on safety behavior.
Tsui Nam · Warehouse Officer, Swire Coca-Cola Hong Kong
Read the full story →
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards that drive citations and SIFs in food & beverage - and the leading-indicator record shows what happened and what you did about it.
1910.147 Control of hazardous energy (LOTO)
Detect entry to un-isolated equipment at sanitation and changeover - the highest-risk window.
1910.212 Machine guarding
Flag missing guards and reach-in at augers, conveyors, mixers, and slicers.
1910.178 Powered industrial trucks
Capture forklift–pedestrian proximity, over-speed, and right-of-way conflicts.
1910.22 / .23 Walking-working surfaces
Flag wet floors, spills, and slip-trip-fall hazards in wash-down and processing.
1910.146 Permit-required confined spaces
Monitor entry to and occupancy of tanks, silos, and vats.
1910.132 / .138 PPE & hand protection
Verify gloves, hairnets, and frocks in product-contact and processing zones.
1910.119 Process safety (PSM)
Support ammonia-refrigeration safe-work monitoring, where applicable.
1910.1200 Hazard communication
Flag unsafe handling of caustic sanitation chemicals on the off-shift.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Warehousing & distribution Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Paper & packaging Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
SIF Playbook Food & Beverage Playbook
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does Intenseye work with our plant & cold-storage cameras?
Yes - about 90% of IP cameras across 200+ brands, out of the box, including cold storage. Add Sentinel only where a normal camera can't see - Depth for guarding, Thermal for ovens and refrigeration.
How does it prevent an amputation at a conveyor or auger?
It detects the reach-in or jam-clearing motion the instant it happens, warns the worker, and can trigger Hard Stop to halt the line in about 0.8 seconds.
Can it cover the sanitation shift & LOTO?
Yes - the off-shift is the highest-risk window. Intenseye flags entry to equipment that should be isolated, guards-off-energy-live conditions, and unsafe chemical handling, 24/7.
Does it help with slips on wet floors & hygiene/PPE?
Yes - it detects standing water, spills, and slick surfaces, and verifies hygiene PPE like gloves, hairnets, and frocks in product-contact zones.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most plants see measurable risk reduction in under six months - fewer unsafe acts, fewer recordables, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for industrial manufacturing | Intenseye

URL: https://www.intenseye.com/industries/industrial-manufacturing/

INDUSTRIES / INDUSTRIAL MANUFACTURING
Real-time visibility for
Industrial Manufacturing operations
Intenseye runs real-time hazard detection on the cameras manufacturing floors already have. Intenseye helps safety teams detect serious-injury risks across assembly lines, stamping areas, conveyors, packaging lines, forklift routes, and yard traffic before they injure workers or stop production.
Book a demo →
50+
floor hazards detected out of the box
24/7
on every line and aisle, every shift
~0.8s
to a machine stop at a press or robot cell
AI SAFETY FOR MANUFACTURING Why manufacturing floors are the hardest to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
A manufacturing plant packs presses, conveyors, robotic cells, overhead loads, and forklift traffic into one space - alongside the people who run them. That density is exactly where serious injuries and fatalities (SIFs) happen.
Intenseye uses computer vision on the cameras you already run to detect the unsafe acts and conditions that cause them, in real time - warning workers, stopping machines, and proving risk is falling across every line and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Caught-in & machine guarding
Reach-in at presses, robots, and conveyor pinch points.
Presses Conveyors Robots
Struck-by & line-of-fire
Suspended loads, crane paths, and stored energy.
Lifts Cranes Overhead
Forklift–pedestrian
Proximity and blind-corner conflict in aisles.
Aisles Docks Corners
Ergonomics & repetitive strain
Heavy lifts, awkward posture, and repetition.
Assembly Packing Handling
USE CASES ON THE FLOOR The use cases that matter on a manufacturing floor.
50+ detections, organized the way plant safety teams think - from the press line to the loading dock. Pick a family to see what Intenseye watches, and why each one matters on a real floor.
Categories
Press & stamping reach-in Robotic cell intrusion Conveyor pinch & nip Forklift–pedestrian Crane & suspended loads LOTO / energy isolation AGV & tugger traffic Changeover & ergonomics
8
Categories
32
Hazard types
Press & stamping reach-in
Learn more →
Detects the hand at the point of operation - and triggers a machine stop before contact.
SAFETY Amputation at point of operation OPS Reach-in = unplanned line stop
Hazards detected
Hand at point of operation CRITICAL Hand inside the die area while the press is live.
Guard open, machine live CRITICAL Fixed guard removed without an energy stop.
Reach-in during die change CRITICAL Changeover reach-in before isolation is confirmed.
Light curtain bypassed CRITICAL Presence-sensing device muted or defeated.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running conveyor logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware coverage for manufacturing risk zones.
Intenseye runs on the CCTV you already own. Where a standard camera can't see - inside a press, at a robot cell, across a busy dock - purpose-built Sentinel devices fill the gap. Manufacturing needs machine guarding first, with traffic coverage close behind.
Explore all Sentinel hardware →
3D machine guarding Sentinel Depth → Sees reach-in at presses, robots, and conveyors in true 3D. Sub-second machine stop Hard Stop → Halts a press, robot cell, or conveyor in ~0.8s on a reach-in. Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage and edge compute across the plant floor. Heat & early fire Sentinel Thermal → Sees overheating equipment and early-stage fire across the line.
PROOF Our customers measure success
in injuries that didn't happen.
Metals & Infrastructure manufacturer
Multi-plant · Anonymized
Manufacturing Machine guarding
01 The challenge
The manufacturer couldn't quantify how often workers reached into machine restricted areas - the leading indicator behind its most serious caught-in risk - so it couldn't prove where to act .
The blind spot Unmeasured
Hand-in-zone reach-ins — the leading indicator it couldn't see
02 What Intenseye did
Restricted-area monitoring went live on the cameras already in the plants . Every hand-in-zone event was detected, time-stamped, and surfaced — turning an invisible behavior into measured, reviewable data that justified a permanent guarding fix.
Making the risk visible — hours of footage
Reviewed 32,112
Risk 4,140
▲ 4,140 hours of hidden risk surfaced
03 The outcome
With the exposure engineered out, recordables in the monitored areas fell to near zero — and the safety team kept a defensible record of the change.
96–100% ▼
Recordables in monitored areas
84
Safety Score across the program
Read the full story →
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards that drive citations and SIFs in manufacturing - and the leading-indicator record shows what happened and what you did about it.
1910.147 Control of hazardous energy (LOTO)
Detect reach-in and entry at machinery during operation or servicing.
1910.212 Machine guarding
Flag missing guards and personnel inside the point-of-operation hazard zone.
1910.178 Powered industrial trucks
Capture forklift–pedestrian proximity, over-speed, and right-of-way conflicts.
1910.132 Personal protective equipment
Verify hard hats, hi-vis, eye, and hand protection in the zones that require them.
1910.37 Exit routes & egress
Detect blocked aisles, obstructed exits, and housekeeping hazards before an audit does.
50+ Full mapping
Detections mapped to the standards that matter on your floor.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Food & beverage Explore → Warehousing & distribution Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Paper & packaging Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
SIF Playbook Manufacturing Playbook
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does Intenseye work with the cameras in our plant?
Yes - about 90% of IP cameras across 200+ brands, out of the box. Add Sentinel devices only where a standard camera can't see, like inside a press or across a busy dock.
How does it prevent a serious injury at a machine?
It detects the leading-indicator hazard - reach-in, zone entry, missing guard - the instant it happens, warns the worker, and can trigger Hard Stop to halt the press or robot in about 0.8 seconds.
Which hazards matter most on a manufacturing floor?
Caught-in / machine guarding, struck-by / line-of-fire, forklift–pedestrian, PPE, ergonomics, and housekeeping - 50+ detections in total, mapped to the OSHA standards that drive citations.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do plants see results?
Most see measurable risk reduction in under six months - fewer unsafe acts, fewer recordables in monitored areas, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for metals & steel | Intenseye

URL: https://www.intenseye.com/industries/metals-steel/

INDUSTRIES / METALS & STEEL
Real-time visibility for Metals & Steel operations
Metals and steel operations run hot, heavy, and nonstop. Intenseye helps safety teams detect serious-injury risks across melt shops, rolling mills, crane bays, hot-work zones, and mobile equipment areas before they injure workers or stop production.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every bay and line, every shift
~0.8s
to a machine stop at a mill or press
AI SAFETY FOR METALS & STEEL Why metals floors are the hardest to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
Melt shops, casters, rolling mills, overhead cranes, and the heaviest mobile equipment in industry - running hot, around the clock. That's where the most severe injuries happen.
Intenseye uses computer vision on the cameras you already run - plus Sentinel Thermal for heat and fire - to detect the unsafe acts and conditions that cause them, in real time : warning workers, stopping machines, and proving risk is falling across every bay and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Struck-by – cranes & loads
People under loads and near moving ladle cars.
Cranes Lifts Ladle cars
Caught-in – mills & guarding
Reach-in at mills, shears, presses, and coilers.
Mills Shears Coilers
Heat, molten metal & fire
Tapping and casting exposure; early-stage fire.
Casters Furnaces Hot work
Mobile equipment & traffic
Forklifts and rail crossing pedestrian routes.
Yard Bays Rail
USE CASES ON THE FLOOR The use cases that matter on a metals & steel floor.
50+ detections, organized the way mill safety teams think - from the melt shop to the rolling mill to the yard. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Crane & suspended load Mill & machine guarding Hot work & molten metal Mobile equipment & vehicle LOTO / energy isolation Confined space Heat & molten-splash PPE
7
Categories
28
Hazard types
Crane & suspended-load exposure
Learn more →
Detects a person under the load or in the lift & swing path and alerts the area before contact.
SAFETY Struck-by SIF under a load OPS A stopped lift backs up the bay
Hazards detected
Person under suspended load CRITICAL Worker beneath a lifted load.
Ground crew in lift path CRITICAL Crew in the path of a moving bridge crane.
Worker in crane swing zone CRITICAL Entry to a barricaded lift exclusion zone.
Tag-line handler too close MODERATE Exposure to load swing during the move.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running conveyor logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware tuned to the metals floor.
Metals and steel sites need visibility across hot areas, molten-splash zones, crane bays, rolling mills, presses, shears, and machine danger zones. Sentinel devices help cover the use cases standard cameras miss - from thermal detection and 3D machine guarding to sub-second stops and wide-area monitoring.
Explore all Sentinel hardware →
Heat, molten & early fire Sentinel Thermal → Sees radiant heat, molten-splash exposure, and early-stage fire a normal camera can't. 3D machine guarding Sentinel Depth → Sees reach-in at a mill or press in true 3D - depth, not a flat trip-line. Sub-second machine stop Hard Stop → Halts a mill, shear, or press in ~0.8s the instant the danger zone is breached. Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage and high-density edge compute that scale across the largest mills.
PROOF Our customers measure success
in injuries that didn't happen.
NEXANS CABLE MANUFACTURING
01 The challenge
At Nexans, safety relied on manual observation and periodic audits, so high-risk zones - forklifts, rotating machinery, and electrical hazards - went unwatched between walkthroughs. Recurring lapses in lockout/tagout, PPE, and stair use kept slipping past the team.
14,264
Unsafe conditions & behaviors identified across monitored areas
02 What Intenseye did
Intenseye connected to Nexans' existing cameras - 90%+ coverage with no new hardware - and deployed 45+ AI safety use cases mapped to the company's golden safety rules. Real-time alerts, risk heat maps, forklift slowdown zones, and enhanced signaling turned every monitored area into a 24/7 check .
90%+
Compliance across key safety rules
03 The outcome
Critical unsafe acts fell 96.4% at the lead site - preventing 14 recordable injuries and one lost-time injury, and analyzing risk the equivalent of 3.7 safety-officer years.
96.4% ▼
Critical unsafe acts at the lead site
14
Recordable injuries prevented
Read the full story →
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards that drive citations and SIFs in metals & steel - and the leading-indicator record shows what happened and what you did about it.
1910.147 Control of hazardous energy (LOTO)
Detect reach-in and entry at mills and furnaces during operation or servicing.
1910.212 / .217 Machine guarding & power presses
Flag missing guards and personnel inside the point-of-operation zone of mills, shears, and presses.
1910.179 Overhead & gantry cranes
Detect people under loads, in lift paths, and inside crane exclusion zones.
1910.178 Powered industrial trucks
Capture forklift- and loader–pedestrian proximity, over-speed, and right-of-way conflicts.
1910.252 Welding, cutting & brazing (hot work)
Flag hot-work zone breaches and missing controls; catch early fire with Sentinel Thermal.
1910.146 Permit-required confined spaces
Monitor entry to and occupancy of vessels, furnaces, and pits.
1910.132 Personal protective equipment
Verify face shields, heat-resistant gear, hard hats, and respiratory protection where required.
1910.22 / .23 Walking-working surfaces
Flag slip, trip, and fall hazards on walkways, stairs, and elevated platforms.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Food & beverage Explore → Warehousing & distribution Explore → Automotive Explore → Building materials Explore → Chemicals Explore → Paper & packaging Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
ROI Study Value Delivery Study
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does Intenseye work with our mill cameras?
Yes - about 90% of IP cameras across 200+ brands, out of the box. Add Sentinel only where a normal camera can't see: Thermal for heat and fire, Depth for mill machine-guarding.
How does it prevent a SIF at a crane or a mill?
It detects the leading-indicator hazard - a person under a suspended load, a reach-in at the mill, a missing guard - the instant it happens, warns the worker, and can trigger Hard Stop to halt the mill or press in about 0.8 seconds.
Can it detect heat & fire?
Yes - Sentinel Thermal sees heat, molten-splash exposure, overheating equipment, and early-stage fire that a normal camera can't.
Which hazards matter most in metals & steel?
Cranes & suspended loads, mill & machine guarding, heat / molten metal / fire, mobile equipment, LOTO, and confined-space entry - 50+ detections in total, mapped to the OSHA standards that drive citations.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most producers see measurable risk reduction in under six months - fewer unsafe acts, fewer recordables in monitored areas, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for paper & packaging | Intenseye

URL: https://www.intenseye.com/industries/paper-packaging/

INDUSTRIES / PAPER, PACKAGING & CONTAINERS
Real-time visibility for Paper, Packaging & Containers operations
Paper, packaging, and container operations move fast. Intenseye helps safety teams detect serious-injury risks across winders, rollers, converting lines, dryers, clamp-truck routes, and reel storage areas before they injure workers or stop production.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every machine and line, every shift
~0.8s
to a machine stop at a winder or roller
AI SAFETY FOR PAPER & PACKAGING Why these floors are hard to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
Winders, rewinders, and rollers with in-running nips; converting lines, corrugators, and presses; clamp trucks moving heavy reels; dryers, recovery boilers, and combustible paper dust. That mix is where the serious injuries happen.
Intenseye uses computer vision on the cameras you already run to detect the unsafe acts and conditions that cause SIFs, in real time : warning workers, stopping machines, and proving risk is falling across every machine and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Machine guarding
Reach-in at moving rollers and in-running nips.
Winders Rollers Nips
Clamp-truck traffic
Vehicle–pedestrian conflict near reels and bales.
Roll storage Dock Yard
Falls from height
Unprotected edges on platforms and mezzanines.
Platforms Reels Mezzanine
Heat, fire & dust
Hot surfaces, early fire, and paper-dust ignition.
Dry end Boiler Balers
USE CASES ON THE FLOOR The use cases that matter on a paper & packaging floor.
50+ detections, organized the way mill and converting safety teams think - from the winder to roll storage to the dry end. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Winder / roller guarding LOTO at maintenance Clamp-truck traffic Falls from height Converting pinch Ergonomics Heat, fire & dust Confined space
8
Categories
32
Hazard types
Winder / roller machine guarding
Learn more →
Detects the reach-in toward an in-running nip and triggers a machine stop before contact.
SAFETY Caught-in SIF at an in-running nip OPS Unguarded reach-in = reel stop
Hazards detected
Hand near in-running nip CRITICAL Hand approaching the nip on a moving roller.
Reach-in at winder / rewinder CRITICAL Reach into the winder while it runs.
Clearing wrap / jam on roller CRITICAL Clearing a wrap on a moving roller.
Guard removed during run CRITICAL Fixed guard removed while the line runs.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running conveyor logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware coverage for paper & packaging risk zones.
Intenseye runs on the CCTV you already own. Where a standard camera can't see - at a winder nip, in roll storage, at the dry end - purpose-built Sentinel devices fill the gap. Paper & packaging needs machine guarding first, with traffic coverage close behind.
Explore all Sentinel hardware →
3D machine guarding Sentinel Depth → Sees reach-in at winders, rollers, and in-running nips in true 3D. Sub-second machine stop Hard Stop → Halts a winder or roller in ~0.8s on a reach-in. Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage across processing, converting, and the warehouse. Heat, dust & early fire Sentinel Thermal → Sees dryer heat and early-stage paper-dust fire a standard camera misses.
PROOF Our customers measure success in
injuries that didn't happen.
Huhtamaki Paper & packaging
01 The challenge
Huhtamaki - a global manufacturer of sustainable packaging, operating in 35 countries with 17,400+ employees - wanted to see and act on the unsafe acts behind its most serious risks across a global plant footprint, and prove where to intervene first .
Since Nov 2023 20
Huhtamaki sites running Intenseye inside its operational safety program
02 What Intenseye did
In November 2023, Huhtamaki integrated Intenseye's AI computer vision into its OS program - running across 20 sites on the cameras already in the plants , surfacing PPE compliance, vehicle–pedestrian dynamics, working over machinery, and unattended objects, and routing real-time alerts into task management and corrective actions.
780K+
Hours of footage analyzed to date
1.3M+
Safety alerts flagged in real time
03 The outcome
Global safety scores trended steadily upward across the 20 active sites, with the leading site reaching 94% . TRIR and lost-time days both fell - one plant ran 8 consecutive months without a TRIR incident , earning an internal safety award.
94%
Safety score at the leading site
8 mo
Consecutive months without a TRIR incident at one plant
Intenseye is an extra set of eyes that never blink - it surfaces the unsafe acts our teams couldn't catch alone, and it's changed how we manage risk across our sites.
Hans Rudelsberger · VP of EHS, Huhtamaki
Read the full story →
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards that drive citations and SIFs in paper & packaging - and the leading-indicator record shows what happened and what you did about it.
1910.261 Pulp, paper & paperboard mills
The industry-specific standard - monitor the machine, winder, and roller hazards it governs.
1910.147 Control of hazardous energy (LOTO)
Detect entry to winders and rollers that should be isolated during servicing.
1910.212 Machine guarding
Flag missing guards and reach-in at in-running nips, rollers, and converting equipment.
1910.178 Powered industrial trucks
Capture forklift- and clamp-truck–pedestrian proximity, over-speed, and right-of-way conflicts.
1910.22 / .23 Walking-working surfaces
Flag falls from height, unprotected edges, and ladder misuse on machines and mezzanines.
1910.146 Permit-required confined spaces
Monitor entry to and occupancy of chests and tanks.
1910.132 Personal protective equipment
Verify hard hats, hi-vis, eye, and hand protection in the zones that require them.
NFPA 652/664 Combustible dust
Combustible-dust hazards mapped to your floor - dry end, balers, and dust-prone converting zones.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Food & beverage Explore → Warehousing & distribution Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
SIF Playbook Paper & Packaging Playbook
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does Intenseye work with our mill & converting cameras?
Yes - about 90% of IP cameras across 200+ brands, out of the box. Add Sentinel only where a normal camera can't see - Depth + Hard Stop at winder/roller nips, Thermal at the dry end.
How does it prevent a winder/roller caught-in?
It detects the reach-in toward an in-running nip the instant it happens, warns the worker, and can trigger Hard Stop to halt the machine in about 0.8 seconds.
Can it cover clamp-truck traffic and falls from height?
Yes - Sentinel Core flags clamp-truck and forklift–pedestrian conflict in roll storage and at docks, and area detection flags work at height on platforms, reels, and mezzanines.
Does it detect heat & early fire?
Yes - Sentinel Thermal sees heat, overheating, and early-stage fire at dryers and recovery boilers. It does not sense gas or dust concentration - it complements those systems.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most producers see measurable risk reduction in under six months - fewer caught-in and clamp-truck exposures, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI workplace safety for warehousing & distribution | Intenseye

URL: https://www.intenseye.com/industries/warehousing-distribution/

INDUSTRIES / WAREHOUSING & DISTRIBUTION
Real-time visibility for Warehousing & Distribution operations
Warehousing and distribution operations move fast. Intenseye helps safety teams detect serious-injury risks across forklift lanes, loading docks, aisles, conveyors, and sortation areas before they injure workers or slow operations.
Book a demo →
50+
high-energy hazards detected out of the box
24/7
on every aisle and dock, every shift
~0.8s
to a machine stop at a conveyor or sorter
AI SAFETY FOR WAREHOUSING & DISTRIBUTION Why distribution centers are hard to keep safe.
Detect
50+ high-energy hazards, the instant they appear.
Warn & stop
A voice warning, or a machine stop in ~0.8s.
Prove
Leading indicators that show risk falling.
Forklifts and reach trucks moving at speed past people on foot, blind racking intersections, loading docks and trailers, conveyors and sortation - and a seasonal, temp-labor surge that resets the floor every peak. Powered-truck and pedestrian conflict is the leading cause of serious warehouse injuries.
Intenseye uses computer vision on the cameras you already run to detect the unsafe acts and conditions that cause them, in real time : warning workers, flagging blocked exits, and proving risk is falling across every aisle and shift.
WHERE THE SIFs COME FROM Four hazards drive the worst
injuries - Intenseye sees them coming.
We act on the leading signal , the unsafe act, the moment it happens – not the lagging injury report that only counts people after they're hurt.
Forklift–pedestrian
Aisles, blind corners, and dock traffic.
Aisles Blind corners Docks
Loading dock & trailer
Dock-edge exposure and trailer creep.
Dock edge Trailers Yard
Falls from height
Racking, mezzanine edges, ladder misuse.
Racking Mezzanine Ladders
Conveyor, sortation & ergonomics
Nip points, jam reach-in, pick-and-pack strain.
Sortation Induct Pick & pack
USE CASES ON THE FLOOR The use cases that matter in a distribution center.
50+ detections, organized the way DC safety teams think - from the aisle to the dock to sortation. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Categories
Forklift–pedestrian Loading dock & trailer Conveyor & sortation Falls from height Struck-by / unstable loads Blocked egress Pick & pack ergonomics AGV / AMR & automation
8
Categories
32
Hazard types
Forklift–pedestrian
Learn more →
Flags the proximity and warns both driver and pedestrian before contact.
SAFETY Struck-by SIF in a forklift path OPS A near-miss blocks an aisle, slows the pick
Hazards detected
Pedestrian in forklift lane CRITICAL Person on foot inside an active forklift travel lane.
Forklift at blind intersection CRITICAL Converging paths at a blind racking corner.
Forklift over-speed in ped zone MODERATE Truck above the limit in a pedestrian zone.
Person in struck-zone at dock CRITICAL Worker in the struck-zone at a dock or pick face.
THE DIFFERENTIATOR Most safety AI just watches.
Intenseye steps in.
A worker reaches into a running conveyor. Same hazard, same instant - but observation only logs the risk. Intervention prevents the injury.
Observe-only AI Just watches
Steps in
The moment
Reach-in at a running conveyor logged “for review.”
Reach-in detected in real time - response starts instantly.
Worker warned
No warning reaches the floor.
Sentinel Speaker calls the hazard out - the worker pulls back.
Machine response
The machine keeps running - nothing is halted.
Hard Stop halts the machine in ~0.8s - before contact.
Follow-up
The hazard stays open until someone reviews it.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
RECOMMENDED FOR THIS ENVIRONMENT Hardware coverage for warehouse and distribution risk zones.
Intenseye runs on the CCTV you already own. Where a standard camera can't see - a conveyor nip, a blind aisle, a busy dock - purpose-built Sentinel devices fill the gap, extending coverage into the areas where people and powered equipment move closest together .
Explore all Sentinel hardware →
Coverage & edge compute Sentinel Core / Hub Pro → Wide-area coverage across aisles, docks, and sortation. 3D machine guarding Sentinel Depth → Sees reach-in at conveyor and sortation pinch points in true 3D. Sub-second machine stop Hard Stop → Halts a conveyor or sorter in ~0.8s when someone reaches in. Heat & early fire Sentinel Thermal → Sees overheating equipment and early-stage fire in storage and charging areas.
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
REGULATORY & COMPLIANCE Built around the standards your plant already answers to.
Intenseye's detections map directly to the OSHA standards that drive citations and SIFs in warehousing & distribution - and the leading-indicator record shows what happened and what you did about it.
1910.178 Powered industrial trucks
Capture forklift–pedestrian proximity, over-speed, and right-of-way conflicts in aisles and docks.
1910.176 Materials handling & storage
Flag unstable loads, overloaded or damaged racking, and obstructed passage.
1910.37 / .36 Exit routes & egress
Detect blocked exits, obstructed aisles, and stacked obstructions before an audit does.
1910.23 Walking-working surfaces
Flag falls from height, unprotected edges, ladder misuse, and spills.
1910.212 / .147 Machine guarding & LOTO
Guard conveyor and sortation nip points; detect service before isolation.
1910.132 Personal protective equipment
Verify hi-vis, hard hats, and footwear in the zones that require them.
NEP Warehousing & DC emphasis program
OSHA's warehousing & distribution-center emphasis program - mapped to your floor.
Informational mapping - not legal advice. Standards cited are US OSHA general-industry references.
EXPLORE OTHER INDUSTRIES Deployed for safety across heavy industry.
Industrial manufacturing Explore → Food & beverage Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Paper & packaging Explore → Air cargo & logistics Explore →
RESOURCES Go deeper on safety
ROI Study Value Delivery Study
Download PDF →
Whitepaper SIF Thought Leadership Report
Download PDF →
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management
Download PDF →
Explore all resources →
FAQ Your questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
Does Intenseye work with our DC & yard cameras?
Yes - about 90% of IP cameras across 200+ brands, out of the box, indoor and in the yard. Add Sentinel only where a normal camera can't see - Traffic for vehicle–pedestrian, Depth for conveyor & sortation.
How does it prevent a forklift–pedestrian incident?
It detects the proximity, over-speed, or blind-corner conflict the instant it happens and delivers an in-aisle warning to driver and pedestrian - before contact.
Can it flag blocked exits & housekeeping?
Yes - it detects blocked fire exits, obstructed aisles, spills, and stacked obstructions in real time, mapped to egress and materials-handling standards.
Does it handle peak / seasonal & temp labor?
Yes - it runs 24/7 on every aisle and dock with no extra headcount, so a floor reset with temp labor at peak is covered from day one.
Do you use facial recognition?
No. Everything is processed on-site, anonymized, with no facial recognition or biometric identification - SOC 2 Type II.
How fast do results show?
Most operations see measurable risk reduction in under six months - fewer forklift near-misses, fewer recordables, and an audit-ready leading-indicator record.
SEE IT ON YOUR FLOOR
See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### KVKK Aydınlatma Metni

URL: https://www.intenseye.com/kvkk-aydinlatma-metni/

Intenseye Legal & Privacy Hub
KVKK Aydınlatma Metni
KİŞİSEL VERİLERİNİN İŞLENMESİ HAKKINDA AYDINLATMA METNİ
İşbu Kişisel Verilerin İşlenmesi Hakkında Müşteri Aydınlatma Metni (“Aydınlatma Metni”); Nisbetiye Mah.Nisbetiye Cad. No: 24 İç Kapı No:17 Beşiktaş - İstanbul adresinde yerleşikİstanbul Ticaret Sicil Müdürlüğü’ne 176171-5 sicil numarası ile kayıtlı Intenseye Yazılım Anonim Şirketi (“ Şirket ”veya “ Intenseye ”) tarafından; müşterilerimize ait kişisel verilerin, Intenseye’a ait https://www.intenseye.com alan adlı internet sitesi (“Website”) ve hizmetlerimizi sunduğumuz yapay zeka destekli görüntü işleme tabanlı iş sağlığı ve güvenliği yazılımı (“Hizmet Yazılımı”) aracılığıyla veya diğer yollarla, Türkiye Cumhuriyeti Anayasası ve 6698 sayılı Kişisel VerilerinKorunması Kanunu (“ KVKK ”) başta olmak üzere ilgili mevzuata uygun olarak işlenmesinin ve verisi işlenen ilgili kişilerin haklarını etkin şekilde kullanabilmelerinin sağlanması amacıyla hazırlanmıştır.
Şirketimiz ile paylaşılmış olan tüm kişisel veriler hukuka uygun bir şekilde, faaliyet ve hizmet amaçlarımız ile bağlantılı ve ölçülü olarak, aşağıda açıklanan kapsamda, işlenebilecektir.
1. VERİ SORUMLUSU OLARAK – INTENSEYE
Veri Sorumlusu, verilerin işleme amaçlarını ve vasıtalarını belirleyen, veri kayıt sisteminin kurulmasından ve yönetilmesinden sorumlu olan gerçek veya tüzel kişidir. Bu kapsamda Intenseye olarak ilgili kişilerin kişisel verilerinin nasıl işleneceğini belirliyor ve veri kayıt sisteminin yönetimini sağlıyoruz. Bir diğer ifadeyle, birtakım kişisel verilerinizi işlerken veri sorumlusu olarak hareket ediyoruz.
Veri Sorumlusu Olarak Kimlerin Kişisel Verisini İşliyoruz?
Intenseye olarak ticari faaliyetlerimizi sürdürebilmek, ürün ve hizmetlerimize yönelik taleplere en iyi şekilde yanıt verebilmek amacıyla müşterilerimizin kişisel verilerini işliyoruz.
2. VERİ İŞLEYEN OLARAK – INTENSEYE
Veri işleyen, veri sorumlusunun verdiği yetkiye dayanarak onun adına kişisel verileri işleyen, veri sorumlusunun organizasyonu dışındaki gerçek veya tüzel kişiler olarak tanımlanmaktadır. Bu kapsamda, Intenseye olarak müşterilerimize sunduğumuz hizmet olarak yazılım (Software as a Service - SaaS) hizmetleri kapsamında, müşterilerimiz ile aramızda akdedilen sözleşmelere uygun olarak ve müşterilerimizin verdiği yetkiye dayanarak müşterilerimiz adına kişisel veriler işleyebilmekteyiz. Bu durumlarda, müşterilerimiz tarafından bizlere aktarılan verileri işlerken veri işleyen olarak hareket ediyoruz.
Veri İşleyen Olarak Kimlerin Kişisel Verisini İşliyoruz?
Intenseye olarak, müşterilerimizin tesislerinde yer alan ve Yazılım’ın bağlı olduğu kameraların görüş açılarına giren gerçek kişilerin kişisel verilerini işliyoruz. Bu kişiler genellikle müşterilerimizin çalışanları, taşeronları, tedarikçileri veya hissedarları olabiliyor.
3. GENEL İLKELER
Kişisel verilerinizi, aşağıda sayılan temel ilkeler doğrultusunda işliyoruz:
1. Hukuka ve dürüstlük kurallarına uygun olma,
2. Doğru ve gerektiğinde güncel olma,
3. Belirli, açık ve meşru amaçlar için işlenme,
4. İşlendikleri amaçla bağlantılı, sınırlı ve ölçülü olma ve
5. İlgili mevzuatta öngörülen veya işlendikleri amaç için gerekli olan süre kadar muhafaza edilme.
4. INTENSEYE OLARAK KİŞİSEL VERİLERİNİZİ NE ŞEKİLDE TOPLUYORUZ?
Kişisel verilerinizi aşağıdaki kanallar ve yöntemler aracılığıyla topluyoruz: ‍
Kişisel verilerinizi toplama kanalları: Fiziki ortamlarda form doldurmanız veya bilgilerinizi bizimle paylaşmanız; Websitesi’ni veya Hizmet Yazılımı’nı kullanmanız, müşterilerimizin kameralarına Hizmet Yazılımı’nın entegre edilmesi, Websitesi, Hizmet Yazılımı ya da dijital ortamlarda yer alan iletişim, teklif ve başvuru formlarını doldurmanız; telefon, posta, kurye, e-posta, Websitesi, Hizmet Yazılımı ve sosyal medya platformları üzerinden, müşteri destek merkezinden, belirtilen kanallar aracılığıyla kişisel verileriniz toplanmaktadır. ‍
Kişisel verilerinizi toplama yöntemleri: Kişisel verileriniz, kısmen otomatik veya veri kayıt sisteminin parçası olmak kaydı ile otomatik olmayan yöntemler ile toplanmaktadır.
5. INTENSEYE OLARAK KİŞİSEL VERİLERİNİZİ HANGİ AMAÇLARLA İŞLİYORUZ?
Intenseye olarak siz değerli müşterilerimizin kişisel verilerini işleme amaçlarımız aşağıda belirtildiği şekildedir:
1. Hizmetlerimizin gereğini yerine getirebilmek,
2. Doğru ve nitelikli iletişimi sağlayabilmek,
3. Hizmet Yazılımı’na yönelik satış ve satış sonrası hizmetlerimizi yürütebilmek,
4. Websitemiz ziyaret edildiğinde veya çeşitli kanallar aracılığıyla (müşteri destek merkezi, Hizmet Yazılımı vb.) ürün ve/veya hizmetlerimizin sunulması,
5. Talep ve şikayetlerin yönetilmesi,
6. Hizmet Yazılmı ve Websitesi’nin geliştirilmesi, güncellenmesi, iyileştirilmesi,
7. Yapay zekâ doğruluk oranlarının yükseltilmesi,
8. Sosyal medya hesaplarımızın yönetilmesi ve bu kanallar üzerinden bizimle müşterilerimizin kuracağı iletişimlerin takibi,
9. Tanıtım, pazarlama, promosyon, reklam faaliyetlerinin gerçekleştirilmesi, genel ve özel teklifler sunulması, bilgilendirme ve iletişim faaliyetlerinin yürütülmesi ve müşterilerin olası taleplerinin önceden öngörülebilmesi amacıyla analiz çalışmaları yapılması,
10. Mevzuat kapsamındaki yükümlülüklerimizi yerine getirebilmek,
11. İç ve dış denetimi sağlayabilmek, yetkili kurum ve kuruluşlara bilgi/belge verebilmek,
12. Muhasebe ve finans sürecini yönetebilmek.
6. VERİ SORUMLUSU SIFATIYLA İŞLEDİĞİMİZ MÜŞTERİ KİŞİSEL VERİ KATEGORİLERİ NELERDİR?
İşbu Aydınlatma Metni’nde belirtilen amaçlar doğrultusunda veri sorumlusu sıfatıyla aşağıdaki kişisel verilerinizi işliyoruz:
Kimlik Bilgisi: Ad soyad, doğum tarihi, cinsiyet ve benzeri.
İletişim Bilgisi: Cep telefonu, irtibat adresi, adres, e-posta adresi bilgisi.
Lokasyon Bilgisi: Hizmet Yazılımı kullanımı esnasında sisteme girilen tesis adres bilgisi.
Özlük Bilgisi: Çalıştığınız şirket ve pozisyon bilgisi.
Finans Bilgisi: Banka hesap numarası, IBAN numarası, kredi kartı bilgileri, mail order formu ve benzeri.
Hukuki İşlem Bilgisi: Adli makamlardaki yazışmalardaki bilgiler, dava dosyasındaki bilgiler.
Müşteri İşlem Bilgisi: Fatura, sipariş bilgisi, alınan hizmet bilgisi, talep, öneri, istek ve şikayetlere dair veriler.
Pazarlama Bilgisi: Çerez kayıtları, kampanya çalışmasıyla elde edilen bilgiler.
İşlem Güvenliği Bilgisi: IP adresi bilgileri, internet sitesi giriş çıkış kayıt bilgileri, kullanıcı adı, şifre ve parola bilgileri, çerezler aracılığıyla işlenen veriler.
Risk Yönetimi Bilgisi: Ticari, teknik, idari risklerin yönetilmesi için işlenen bilgiler.‍
Görsel Kayıtlar: Profil fotoğrafı.
7. VERİ SORUMLUSU SIFATIYLA İŞLEDİĞİMİZ MÜŞTERİ KİŞİSEL VERİ KATEGORİLERİ NELERDİR?
Intenseye tarafından müşterilerine sunulan Hizmet Yazılımı, yapay zekâ ve görüntü işleme tabanlı bir iş sağlığı ve güvenliği platformudur. Dolayısıyla Intenseye olarak, aşağıda belirtilen kişisel verilerin işlenmesi sırasında müşterilerimizin verdiği yetkiye dayanarak, müşterilerimizin yürüttüğü iş sağlığı ve güvenliği süreçlerine ilişkin teknik imkan ve destek sağlanması ve müşterilerimizle aramızdaki sözleşmenin gereğinin yerine getirilmesi amacına uygun olarak, yine müşterilerimiz tarafından belirtilen süreler dahilinde, doğrudan ilgili kişilere ulaşma imkânımız olmaksızın, müşterilerimizin dilediği zaman tek taraflı olarak bizim veri işlememizi engelleyebileceği bir sistem dahilinde, müşterilerimiz adına veri işleyen sıfatıyla, kişisel veriler işleyebiliyoruz. Bu kapsamda işlediğimiz kişisel veriler aşağıdaki şekildedir:
Görsel Bilgi: Müşterilerimiz tarafından tesislerde tutulan kamera kayıtlarının müşterilerimiz tarafından Intenseye’a aktarılması neticesinde alınan, tesislerde faaliyet gösteren kişilere ilişkin biyometrik olmayan görüntüleri iş sağlığı ve güvenliği kurallarının ihlal edildiği durumları tespit edebilmek amacıyla veri işleyen sıfatıyla işliyoruz.
Söz konusu görsel bilgi işleme sırasında, müşterilerimiz tarafınızdan yapılan kamera izleme faaliyetlerine ilave olarak herhangi bir takip veya veri işleme faaliyeti gerçekleştirmiyoruz. Intenseye, yalnızca müşterilerinin tesislerinde mevcut kameralar aracılığı ile işlenen görüntüde iş sağlığı ve güvenliği açısından hatalı veya tehlike arz eden bir durum tespit ederse platform aracılığı ile uyarılar verir.
Intenseye, müşterilerinin kamera görüntülerini sürekli olarak kaydetmez. İşlenen görüntüde iş sağlığı ve güvenliği açısından hatalı veya tehlike arz eden bir durum olmadığı takdirde analiz edilen video karesi silinir, Intenseye sunucularında saklanmaz. Sadece hatalı veya tehlike arz eden durum olması halinde veya yapay zekâ doğruluk oranlarının yükseltilmesi amacıyla seçilen kameradan etiketleme ve model eğitimi amacıyla veriler toplanarak görüntüler kaydedilir.
Intenseye tarafından Hizmet Yazılımı aracılığı ile sunulan platformda yer alan tüm görüntülerde ise insan yüzleri tamamen buzlanmış/maskelenmiş yani anonimleştirilmiş şekildedir.
YASAL UYARI: Intenseye, müşterilerinin tesislerinde halihazırda yer alan kameralara bağlanarak hizmetlerini sunar ve müşterileri adına veri işleyen olarak hareket eder. Dolayısıyla müşterilerin tesislerinde halihazırda gerçekleşmekte olan bir veri işleme faaliyetininikinci basamağı – veri aktarılanı – veri işleyeni olarak doğrudan ilgili kişilere söz konusu aydınlatma yükümlülüğünü yerine getirmemiz mümkün değildir. Bu noktada müşterilerimizin kamera izleme faaliyetlerine ilişkin mevcut aydınlatma metinlerinde yer alan “Veri İşleme Amaçları”arasına, eğer yoksa, “iş sağlığı ve güvenliğinin temini” veya bu anlamda uygun görecekleri başka bir ifadeyi eklemesi gerekmektedir.
8. KİŞİSEL VERİLERİN İŞLENMESİNİN HUKUKİ SEBEPLERİ
Kişisel verilerinizi işlerken dayandığımız hukuki sebepleri aşağıdaki gibidir:
Veri işleme amacı / faaliyeti Veri kategorisi Hukuki sebep
Satış öncesi ve sonrası tanıtım/pazarlama süreçlerinin yürütülmesi. Kimlik, İletişim, Pazarlama • Temel hak ve özgürlüklerinize halel getirmeksizin, meşru menfaatlerimiz için zorunlu olması.
Sözleşme müzakere süreçlerinin yürütülmesi. Kimlik, İletişim, Lokasyon, Özlük, Müşteri İşlem • Bir sözleşmenin kurulması veya ifasıyla doğrudan doğruya ilgili olması kaydıyla, sözleşmenin taraflarına ait kişisel verilerin işlenmesinin gerekli olması.
Hizmet Yazılımı’nda Müşteri’ye hesap açılması ve Müşteri’nin hizmetlerden yararlandırılması. Kimlik, İletişim, Özlük, Görsel Kayıtlar • Bir sözleşmenin kurulması veya ifasıyla doğrudan doğruya ilgili olması kaydıyla, sözleşmenin taraflarına ait kişisel verilerin işlenmesinin gerekli olması.
• Bir hakkın tesisi, kullanılması veya korunması için veri işlemenin zorunlu olması.
Satış sonrası müşteri destek süreçlerinin yürütülmesi. Kimlik, İletişim, Lokasyon, Müşteri İşlem, İşlem Güvenliği • Bir sözleşmenin kurulması veya ifasıyla doğrudan doğruya ilgili olması kaydıyla, sözleşmenin taraflarına ait kişisel verilerin işlenmesinin gerekli olması.
• Bir hakkın tesisi, kullanılması veya korunması için veri işlemenin zorunlu olması.
Müşteriden gelen talep ve şikayetlerin yönetilmesi. Kimlik, İletişim, Lokasyon, Müşteri İşlem, İşlem Güvenliği • Bir sözleşmenin kurulması veya ifasıyla doğrudan doğruya ilgili olması kaydıyla, sözleşmenin taraflarına ait kişisel verilerin işlenmesinin gerekli olması.
• Bir hakkın tesisi, kullanılması veya korunması için veri işlemenin zorunlu olması.
Websitesi ve Hizmet Yazılımı’nın geliştirilmesi, iyileştirilmesi, güncellenmesi. İşlem Güvenliği • Bir sözleşmenin kurulması veya ifasıyla doğrudan doğruya ilgili olması kaydıyla, sözleşmenin taraflarına ait kişisel verilerin işlenmesinin gerekli olması.
• Temel hak ve özgürlüklerinize halel getirmeksizin, meşru menfaatlerimiz için zorunlu olması.
Intenseye hizmetleri, Websitesi ve Yazılım’a ilişkin değişiklik, yenilik ve güncellemelerin Müşteri’ye iletilmesi. Kimlik, İletişim • Bir sözleşmenin kurulması veya ifasıyla doğrudan doğruya ilgili olması kaydıyla, sözleşmenin taraflarına ait kişisel verilerin işlenmesinin gerekli olması.
• Temel hak ve özgürlüklerinize halel getirmeksizin, meşru menfaatlerimiz için zorunlu olması.
Analiz ve pazar araştırması süreçlerinin yürütülmesi. İşlem Güvenliği • Temel hak ve özgürlüklerinize halel getirmeksizin, meşru menfaatlerimiz için zorunlu olması.
Hukuki yükümlülüklerimizin yerine getirilmesi. Tüm veriler • Kanunlarda açıkça öngörülmesi.
• Bir hakkın tesisi, kullanılması veya korunması için veri işlemenin zorunlu olması.
Yapay zekanın doğruluğunu artırmak amacıyla Yazılım’ın analizi, geliştirilmesi, test edilmesi ve eğitilmesi. Görsel Bilgi • Yukarıda belirtildiği üzere bu verileri veri işleyen sıfatıyla, yapay zekanın doğruluğunu arttırarak yüksek kaliteli hizmet sunmak amacıyla işliyoruz.
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Kişisel verilerinizin açık rızaya dayanarak işlendiği veri işleme faaliyetlerinde, rızanızı istediğiniz zaman geri çekme hakkına sahip olduğunuzu belirtmek isteriz.
Kişisel verilerinizi işleme konusundaki meşru menfaatimiz, yasal mevzuat çerçevesinde müşterilerimize daha iyi hizmet sunmak, önerilerde bulunmak, hizmetlerimizi geliştirmek ve güncellemek, ilgi ve tercihlerinize ilişkin çalışmalarda hizmetlerin kullanımını kolaylaştırmaktır.
9. KİŞİSEL VERİLERİN İŞLENMESİNİN HUKUKİ SEBEPLERİ
Kişisel verilerin aktarılması konusunda, KVKK'da öngörülen düzenlemelere uygun bir şekilde hareket ediyoruz. Mevzuatta yer alan istisnai haller saklı kalmak kaydıyla, kişisel verileriniz, açık rızanız olmadan, hizmetlerimizin verilebilmesi için gerekli olması halleri dışında tarafımızca diğer gerçek veya tüzel kişilere aktarılmamaktadır. KVKK ve sair mevzuatın öngördüğü istisnai hallerde ise kişisel verilerin yetkili kılınan idari veya adli kurum veya özel kuruluşlara aktarılması esnasında mevzuatta öngörülen şekil ve sınırlamalara uygun davranılmasına azami özen gösterilmektedir.
Kişisel verileriniz mevzuatta belirlenen güvenlik ve gizlilik esasları uyarınca yeterli ve etkili önlemler alınmak kaydıyla;
1. Yukarıda sayılan amaçların gerçekleştirilmesini sağlamak amacı ile tedarikçilere, hissedarlara, yetkili satıcılara, hizmet alınan özel hukuk kişilerine (güvenlik, eğitim, denetim, etkinlik ve organizasyon, sağlık, iş güvenliği, hukuk vb. konularda), bağımsız denetim kuruluşlarına, finans kuruluşlarına, direkt ve dolaylı iştirakler başta olmak üzere yurt içindeki ve yurt dışındaki iş ortaklarına, yurtiçinde ve yurtdışında bulunan depolama, arşivleme, bilişim teknolojileri desteği alınan firmalara (sunucu, hosting, program, bulut bilişim),
2. Kanuni yükümlülüğün yerine getirilmesi amacıyla yetkili resmi kurum ve kuruluşlar ile kanunen yetkilendirilmiş özel kişilere,
3. Yargısal süreçlerin yürütülebilmesi veya takibinin sağlanması amacıyla ilgili yargı makamlarına,
4. Birleşme, bölünme, devralma gibi durumlarda bahsi geçen durumlar sonucu ortaya çıkan şirketlere,
ilgili mevzuatta öngörülen usul ve esaslar çerçevesinde ve KVKK’nın 8.ve 9. maddelerinde belirtilen kişisel veri aktarma şartları ve amaçlarına uygun olarak aktarılabilecektir.
10. KİŞİSEL VERİLERİN SAKLANMASI
Intenseye olarak kişisel verileri gerekenden daha uzun süre saklamıyoruz. Hizmetlerimizi sunmak ve size karşı sözleşmeden doğan yükümlülüklerimizi yerine getirmek için kişisel verilerinizi en az otuz (30)gün süreyle saklıyoruz.
Farklı veri kategorileri için saklama süresini Hizmet Yazılımı aracılığıyla veya doğrudan bizimle iletişime geçerek, söz konusu saklama süresinin otuz (30) gün veya daha yüksek olması koşuluyla değiştirmekte özgürsünüz. Saklama süresindeki herhangi bir değişikliğin, değişiklik tarihinden önce Intenseye tarafından edinilen veriler için geçerli olmayacağını lütfen unutmayın. Yürürlükteki yasalar uyarınca verilerinizin silinmesini talep etme hakkınız her zaman saklıdır.
11. KİŞİSEL VERİLERİN SAKLANMASI
KVKK’nın 11. maddesi uyarınca bize başvurarak aşağıdaki konulara ilişkin taleplerde bulunabilirsiniz:
1. Kişisel verilerinizin işlenip işlenmediğini öğrenme,
2. Kişisel verileriniz işlenmişse buna ilişkin bilgi talep etme,
3. Kişisel verilerinizin işlenme amacı ve bunların amacına uygun kullanılıp kullanılmadığını öğrenme,
4. Kişisel verilerinizin yurt içinde veya yurt dışında aktarıldığı üçüncü kişileri öğrenme,
5. Kişisel verilerinizin eksik veya yanlış işlenmiş olması halinde bunların düzeltilmesini isteme ve bu kapsamda yapılan işlemin kişisel verilerinizin aktarıldığı üçüncü kişilere bildirilmesini isteme,
6. Kişisel verilerinizin işlenmesini gerektiren sebeplerin ortadan kalkması halinde bunların silinmesini, yok edilmesini veya anonim hale getirilmesini isteme ve bu kapsamda yapılan işlemin kişisel verilerinizin aktarıldığı üçüncü kişilere bildirilmesini isteme,
7. İşlenen verilerinizin münhasıran otomatik sistemler vasıtasıylaanaliz edilmesi suretiyle aleyhinize bir sonucun ortaya çıkmasına itiraz etme,
8. Kişisel verilerinizin kanuna aykırı olarak işlenmesi sebebiyle zarara uğramanız halinde zararın giderilmesini talep etme.
Başvuru taleplerinizi, talebin niteliğine göre ve en geç 30 (otuz) gün içinde ücretsiz olarak sonuçlandırıyoruz. Talebin reddedilmesi halinde, ret nedenini/nedenlerini yazılı olarak veya elektronik ortamda gerekçelendirerek bildiriyoruz.
Yukarıda belirtilen haklarınızı kullanmak için kimliğinizi tespit edici gerekli bilgilerile KVKK’nın 11. maddesinde belirtilen haklardan kullanmayı talep ettiğiniz hakkınıza yönelik açıklamalarınızı içeren talebinizi; Websitesi’nde yeralan İlgili Kişi Başvuru Formu’nu doldurarak, formun imzalı bir nüshasını Nisbetiye Mah. Nisbetiye Cad. No: 24 İç Kapı No: 17 Beşiktaş - İstanbul adresine bizzat elden, noter kanalıyla veya güvenli elektronik imzalı olarak privacy@intenseye.com adresine iletebilir veya KVKK’nın13. maddesi uyarınca Kişisel Verileri Koruma Kurulu tarafından öngörülecek diğer yöntemler ile gönderebilirsiniz.
12. VERİ GÜVENLİĞİ
Yönetilen kişisel verilerinizin, manipülasyona uğramamaları, kaybolmamaları, hasar görmemeleri ve yetkisi olmayan kişilerce kullanılmamaları için koruma amacı ile teknik ve organizasyonel açıdan güvenlik önlemleri uyguluyoruz. Güvenlik önlemlerimiz teknolojik ilerlemeler ile birlikte sürekli gelişme içerisindedir. Intenseye olarak, kişisel verilerinizin hukuka aykırı olarak işlenmesini önlemek, kişisel verilere hukuka aykırı olarak erişilmesini önlemek, kişisel verilerin muhafazasını sağlamak amacıyla uygun güvenlik düzeyini temin etmeye yönelik gerekli her türlü teknik ve idari tedbirleri alıyoruz.
INTENSEYE YAZILIM ANONİM ŞİRKETİ
Mersis No: 0465091893700001
Adres: Nisbetiye Mah. Nisbetiye Cad. No:24 İç Kapı No:17 Beşiktaş – İstanbul
E-posta: privacy@intenseye.com
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KİŞİSEL VERİLERİNİN İŞLENMESİ HAKKINDA - ADAY ÇALIŞAN AYDINLATMA METNİ‍
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Şirketimize göstermiş olduğunuz ilgi için teşekkür ederiz. Intenseye Yazılım Anonim Şirketi olarak kişisel verilerinizin korunmasını ve kişisel verilerin korunması mevzuatına uygun davranmayı önemsiyoruz. İş başvurunuzu yapmadan önce lütfen aşağıda yer alan bilgilendirme metnini okuyunuz.
İşbu Kişisel Verilerin İşlenmesi Hakkında Aday Çalışan Aydınlatma Metni (“ Aydınlatma Metni ”); Nisbetiye Mah. Nisbetiye Cad. No: 24 Beşiktaş - İstanbul adresinde yerleşik İstanbul Ticaret Sicil Müdürlüğü’ne 176171-5 sicil numarası ile kayıtlı Intenseye Yazılım Anonim Şirketi (“ Şirket ”) olarak; çalışan adaylarımıza ait kişisel verilerin, Türkiye Cumhuriyeti Anayasası ve 6698 sayılı Kişisel Verilerin Korunması Kanunu (“ KVKK ”) başta olmak üzere ilgili mevzuata uygun olarak işlenmesinin ve verisi işlenen ilgili kişilerin haklarını etkin şekilde kullanabilmelerinin sağlanması amacıyla hazırlanmıştır.
Şirketimiz ile paylaşılmış olan tüm kişisel veriler hukuka uygun bir şekilde, faaliyet ve hizmet amaçlarımız ile bağlantılı ve ölçülü olarak, aşağıda açıklanan kapsamda, işlenebilecektir.
1. TANIMLAR ‍
Aydınlatma Metni’nde kullanılan kişisel veri, özel nitelikli kişisel veri ve veri işleme kavramları KVKK’da yapılan tanımlara istinaden kullanılmıştır. KVKK’da geçen “ kişisel veri” kavramı kimliği belirli veya belirlenebilir gerçek kişiye ilişkin her türlü bilgiyi; “ kişisel verilerin işlenmesi ” kavramı, kişisel verilerin tamamen veya kısmen otomatik olan ya da herhangi bir veri kayıt sisteminin parçası olmak kaydıyla otomatik olmayan yollarla elde edilmesi, kaydedilmesi, depolanması, muhafaza edilmesi, değiştirilmesi, yeniden düzenlenmesi, açıklanması, aktarılması, devralınması, elde edilebilir hâle getirilmesi, sınıflandırılması ya da kullanılmasının engellenmesi gibi veriler üzerinde gerçekleştirilen her türlü işlemi, “ özel nitelikli kişisel veri ” ise, kişilerin ırkı, etnik kökeni, siyasi düşüncesi, felsefi inancı, dini, mezhebi veya diğer inançları, kılık ve kıyafeti, dernek, vakıf ya da sendika üyeliği, sağlığı, cinsel hayatı, ceza mahkûmiyeti ve güvenlik tedbirleriyle ilgili verileri ile biyometrik ve genetik verileri özel nitelikli kişisel verileri ifade etmektedir.
2. ŞİRKET TARAFINDAN İŞLENEN KİŞİSEL VERİ KATEGORİLERİ ‍
Şirket tarafından, kişisel verileriniz işbu metinde belirtilen amaçlar ve işleme şartları doğrultusunda işlenebilmektedir. İşlemeye konu kişisel veriler şunlardır:
a. Kimlik Verileri: Ad, soyad, anne-baba adı, doğum tarihi, T.C. kimlik no, cinsiyet, medeni hal, nüfus cüzdan seri sıra no, uyruk bilgisi, pasaport bilgileri, görev ve unvan bilgisi, aile yakınları bilgisi.‍
b. İletişim Verileri: Telefon numarası, e-posta adresi, adres bilgisi
c. Mesleki Deneyim Verileri: Eğitim durumu, meslek içi eğitim bilgileri, sertifika ve diploma bilgileri, dil bilgileri, gidilen kurslar, eğitim ve beceriler, iş tecrübesi, transkript bilgileri.
d. Görsel ve İşitsel Veriler: Gerçek kişiye ait fotoğraf, kamera kayıtları.
3. KİŞİSEL VERİLERİN İŞLENMESİ İLKELERİ
KVKK’nın 4. maddesi uyarınca ilgili kişiye ait kişisel veriler; hukuka ve dürüstlük kurallarına uygun, doğru ve gerektiğinde güncel, belirli, açık ve meşru amaçlar için; işlendikleri amaçla bağlantılı, sınırlı ve ölçülü; ilgili mevzuatta öngörülen veya işlendikleri amaç için gerekli olan süre kadar muhafaza edilme kurallarına uygun bir şekilde, veri sorumlusu Şirket tarafından aşağıda belirtilen amaçlar kapsamında işlenecektir.
4. KİŞİSEL VERİLERİN İŞLENMESİ AMAÇLARI
Kişisel verileriniz, Şirketimize yapmış olduğunuz iş başvurusu kapsamında:
- İşe alım süreçlerini yürütmek,
- Tarafınızla iletişime geçmek,
- İş görüşmelerini organize etmek
amaçlarıyla, KVKK’nın 5. ve 6. maddelerinde belirtilen kişisel veri işleme şartlarına uygun olarak işlenecektir.
5. KİŞİSEL VERİLERİN AKTARILMASI
Şirket, kişisel verilerin aktarılması konusunda, KVKK'da öngörülen düzenlemelere uygun bir şekilde hareket etmektedir. Mevzuatta yer alan istisnai haller saklı kalmak kaydıyla, kişisel veriler ve özel nitelikli veriler, İlgili kişinin açık rızası olmadan, tarafımızca diğer gerçek veya tüzel kişilere aktarılmamaktadır. KVKK ve sair mevzuatın öngördüğü istisnai hallerde ise kişisel verilerin yetkili kılınan idari veya adli kurum veya özel kuruluşlara aktarılması esnasında mevzuatta öngörülen şekil ve sınırlamalara uygun davranılmasına azami özen gösterilmektedir.
Kişisel verileriniz mevzuatta belirlenen güvenlik ve gizlilik esasları uyarınca yeterli ve etkili önlemler alınmak kaydıyla;
- Kanuni yükümlülüğün yerine getirilmesi amacıyla yetkili resmi kurum ve kuruluşlar ile kanunen yetkilendirilmiş özel kişilere,
- Personel geçişleri veya geçici görevlendirmeler söz konusuysa, çalışanın daimî veya geçici olarak istihdam edilebilmesi ve insan kaynakları politikalarının yürütülebilmesi amaçlarıyla grup şirketlere ve bağlı şirketlere, iş ortaklarına,
- Yargısal süreçlerin yürütülebilmesi veya takibinin sağlanması amacıyla ilgili yargı makamlarına,
- Birleşme, bölünme, devralma gibi durumlarda bahsi geçen durumlar sonucu ortaya çıkan şirketlere,
ilgili mevzuatta öngörülen usul ve esaslar çerçevesinde ve KVKK’nın 8. ve 9. maddelerinde belirtilen kişisel veri aktarma şartları ve amaçlarına uygun olarak aktarılabilecektir.
Açık rızanızın bulunması halinde, tarafınızca ile e-posta veya şirket içi online iletişim mesajlaşma platformları aracılığıyla iletişim kurulması veya çevrimiçi toplantı uygulamaları kullanılarak görüşme yapılması nedenleriyle işbu Aydınlatma Metni’nde belirtilen kişisel verileriniz; e-posta hizmeti (Gmail), şirket içi online iletişim mesajlaşma hizmeti (Slack) ve çevrimiçi toplantı hizmeti (Zoom veya Microsoft Teams) sağlayıcılarının yurt dışında yerleşik veri tabanlarına aktarılarak bu veri tabanları içinde; ayrıca Şirket faaliyetlerinin ve arşiv çalışmalarının yerine getirilmesi ve yukarıda sayılan diğer kişisel veri işleme amaçlarının yerine getirilebilmesi için kişisel verileriniz yurtdışı depolama merkezlerine (örneğin Google ya da Amazon veri depolama merkezleri) aktarılarak bu merkezler içinde muhafaza edilir.
‍
6. KİŞİSEL VERİLERİN VE ÖZEL NİTELİKLİ KİŞİSEL VERİLERİN TOPLANMA YÖNTEMİ VE HUKUKİ SEBEBİ
Kişisel verileriniz; Şirket ile iş ilişkisinin kurulması ve yürütülmesi süreçlerinde çalışanın kendisi tarafından tarafımıza iletilen belgeler, formlar, sağlık raporu vb. her türlü doküman vasıtasıyla ve çalışanın yöneticisi, sorumlusu vb. yetkili kişilerden yazılı olarak çalışana ilişkin değerlendirmelerinin alınması, disiplin prosedürlerinin yürütülmesine ilişkin tutanakların düzenlenmesi gibi bir veri kayıt sistemlerinin parçası olmak kaydıyla otomatik olmayan yöntemlerle elde edilebilmektedir. Devamla, kişisel verileriniz Şirketimiz e-posta adresine iletilen bilgiler, doğrudan sözlü veya yazılı olarak departmana iletilen bilgiler, internet sitesi, elektronik posta, mobil haberleşme, mobil uygulamalar, başvuru ve üyelik formları, muhtelif sözleşmeler ve bunlarla sınırlı olmamak kaydıyla sözlü, yazılı veya elektronik olarak işbu Aydınlatma Metni’nin 4. maddesinde belirtilen amaçların gerçekleştirilmesine yönelik hukuki sebeplerle toplanmaktadır.
Aynı zamanda Şirket tarafından yalnızca iş faaliyetlerinin yürütülmesi amacıyla çalışana tesis edilen bilgisayar, telefon, kurumsal e-posta adresi vb. iletişim ve ulaşım araçlarının gerektiğinde denetlenmesi veya takip edilmesi suretiyle otomatik veya kısmen otomatik sistemler vasıtasıyla, kişisel verileriniz elde edilebilecek veya toplanabilecektir.
Söz konusu kişisel verilerinizin Şirket tarafından işlenmesindeki hukuki sebepler; (i) (eğer açık rıza verdiyseniz) Açık Rıza metninde KVKK’nın 5. ve 6. maddeleri uyarınca vermiş olduğunuz açık rıza ve (ii) KVKK’nın 5.maddesinin ikinci fıkrasının a, c, ç, e ve f bentleri ile 6.maddesinin üçüncü fıkrasında belirtilen açık rızanın istisnası olan hallerdir.
Kişisel verileriniz belirtilen hukuki sebeplerle başta 6331 sayılı İş Sağlığı ve Güvenliği Kanunu, 4857 sayılı İş Kanunu, 6098 sayılı Türk Borçlar Kanunu, 5510 sayılı Sosyal Sigortalar ve Genel Sağlık Sigortası Kanunu olmak üzere yürürlükte olan her türlü mevzuata uygun şekilde ve işbu Aydınlatma Metni’nin 4. ve 5. maddelerinde belirtilen amaçlarla Şirket tarafından toplanmaktadır.
7. İLGİLİ KİŞİNİN HAKLARI
KVKK’nın 11. maddesi uyarınca, kişisel verileri işlenen çalışan, Şirket’e başvurarak aşağıdaki konulara ilişkin taleplerde bulunabilir:
- Kişisel verilerinin işlenip işlenmediğini öğrenme,
- Kişisel verileri işlenmişse buna ilişkin bilgi talep etme,
- Kişisel verilerinin işlenme amacı ve bunların amacına uygun kullanılıp kullanılmadığını öğrenme,
- Kişisel verilerinin yurt içinde veya yurt dışında aktarıldığı üçüncü kişileri öğrenme,
- Kişisel verilerinin eksik veya yanlış işlenmiş olması halinde bunların düzeltilmesini isteme ve bu kapsamda yapılan işlemin kişisel verilerin aktarıldığı üçüncü kişilere bildirilmesini isteme,
- Kişisel verilerinin işlenmesini gerektiren sebeplerin ortadan kalkması halinde bunların silinmesini, yok edilmesini veya anonim hale getirilmesini isteme ve bu kapsamda yapılan işlemin kişisel verilerin aktarıldığı üçüncü kişilere bildirilmesini isteme,
- İşlenen verilerinin münhasıran otomatik sistemler vasıtasıyla analiz edilmesi suretiyle ilgili kişinin aleyhine bir sonucun ortaya çıkmasına itiraz etme,
- Kişisel verilerinin kanuna aykırı olarak işlenmesi sebebiyle zarara uğraması halinde zararın giderilmesini talep etme.
KVKK’dan doğan talepler “İlgili Kişi Başvuru Formu” aracılığıyla gerçekleştirecektir. Şirket, KVKK’nın 13. maddesine uygun olarak, başvuru taleplerini, talebin niteliğine göre ve en geç 30 (otuz) gün içinde ücretsiz olarak sonuçlandıracaktır. Talebin reddedilmesi halinde, ret nedeni/nedenleri yazılı olarak veya elektronik ortamda gerekçelendirilir.
Yukarıda belirtilen haklarınızı kullanmak için kimliğinizi tespit edici gerekli bilgiler ile KVKK’nın 11. maddesinde belirtilen haklardan kullanmayı talep ettiğiniz hakkınıza yönelik açıklamalarınızı içeren talebinizi; www.intenseye.com adresinde yer alan İlgili Kişi Başvuru Formu’nu doldurarak, formun imzalı bir nüshasını Nisbetiye Mah. Nisbetiye Cad. No: 24 Beşiktaş - İstanbul adresine bizzat elden, noter kanalıyla veya güvenli elektronik imzalı olarak legal@intenseye.com adresine iletebilir veya KVKK’nın 13. maddesi uyarınca Kişisel Verileri Koruma Kurulu tarafından öngörülecek diğer yöntemler ile gönderebilirsiniz.
8. VERİ GÜVENLİĞİ
Şirket, yönetilen kişisel verilerinizin, manipülasyona uğramamaları, kaybolmamaları, hasar görmemeleri ve yetkisi olmayan kişilerce kullanılmamaları için koruma amacı ile teknik ve organizasyonel açıdan güvenlik önlemleri uygulamaktadır. Güvenlik önlemlerimiz teknolojik ilerlemeler ile birlikte sürekli gelişme içerisindedir. Şirket, kişisel verilerin hukuka aykırı olarak işlenmesini önlemek, kişisel verilere hukuka aykırı olarak erişilmesini önlemek, kişisel verilerin muhafazasını sağlamak amacıyla uygun güvenlik düzeyini temin etmeye yönelik gerekli her türlü teknik ve idari tedbirleri almaktadır.
‍ VERİ SORUMLUSU
INTENSEYE YAZILIM ANONİM ŞİRKETİ
Mersis No: 0465091893700001
Adres: Nisbetiye Mah. Nisbetiye Cad. No: 24 Beşiktaş – İstanbul
E-posta: privacy@intenseye.com
‍

### Partners | Intenseye

URL: https://www.intenseye.com/partner/

Partners Partner with Intenseye
Certified installers and channel partners bring Intenseye to the floor. You own the account and the install; we run the AI behind it.
Sign up to partner
Tracks We'll start with the track
that fits your business
Security integrators You install and service cameras. Add safety AI on top of what you already deploy.
Value-added resellers You resell and want a recurring revenue line, camera-agnostic, with margin.
Referral & consulting You own the relationship. Bring us in and we run delivery end to end.
How it works How the partnership works.
01 Secure & install You win the account and mount the edge device on site.
02 We run the AI Model fine-tuning and monitoring, handled by Intenseye.
03 Stay on the account The same certified installer takes every future site.
04 Expand together Add sites and use cases as the footprint grows.
Get up to speed How we'll be collaborating
Product Platform & Sentinel The software your accounts run and the hardware you install.
See the product → Industries Where it lands Manufacturing, logistics, food & beverage, metals and more.
Browse industries → Case studies Proof for your pitch Deployment stories and the safety results behind them.
Read case studies → Pricing How deals are priced Per-camera software, add-on modules and hardware quoting.
See pricing →
Partner portal One home for partners and the team that runs them.
Partners register deals, submit referrals, take training, and join events. The Intenseye customer success team runs the entire program — organizations, deals, referrals, marketing, training, and events.
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### Intenseye newsroom | Press and media coverage

URL: https://www.intenseye.com/press/

Resources / Press Explore the latest
news about Intenseye.
Coverage, announcements, and recognition from across the industry.
In the news
World Economic Forum Why manufacturing companies now see safe workplaces as a competitive advantage Read more → CBS News Building the AI Backbone of Workplace Safety Read more → Business Insider 85 of the most promising startups of 2024 Read more → Authority Magazine Intenseye is disrupting our industry, and what we can do about it Read more → AlleyWatch Intenseye raises $64M to make the workplaces safer Read more → Bloomberg AI startup gets funds to help prevent widespread work accidents Read more → Business Wire Intenseye secures record-breaking $ 64M in Series B Read more → TechBullion 5 of the most promising AI startups this 2024 Read more → PR Newswire Will Reed top 100 list Read more → World Economic Forum 2023 WEF Technology Pioneers Read more → HackerNoon How AI is making workplaces safer Read more →
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Intenseye brand book PDF →
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### Intenseye pricing - one subscription per camera, all use cases

URL: https://www.intenseye.com/pricing/

FLEXIBLE PLANS FOR COMPLEX OPERATIONS
Solve for one risk, or all of them.
Intenseye is one annual subscription per connected camera, with every safety use case plus Chief, Insights, and Actions included — no per-incident or per-use-case fees. When you need our hardware, we'll work with you on a custom quote (opex, capex, or both).
Step 1 Software Prevent on every camera, add modules as you grow.
Prevent is the per-camera platform that runs the full safety detection library. Connect and EHS Suite are optional modules that layer on top.
Prevent Per camera / year
The per-camera platform every connected camera runs - the full safety detection library, on every feed.
50+ safety detections
PPE compliance
Area controls
Behavioral safety
Vehicle controls
Housekeeping
Ergonomics
Platform included - no extra charge:
Chief SafetyGPT
Insights Included
Actions Included
Teams Integration
Connect Module Annual flat fee
Industrial connectivity EHS systems of record Identity & SSO BI & analytics Collaboration Digital safety signage Open platform On-site notifications
EHS Suite Module Annual flat fee
Incident management Inspections Audits Risk assessment Mobile application Analytics
Step 2 Hardware On-site processing, sized to your coverage.
We work with you to map your riskiest areas and how many cameras each one needs, then add a Sentinel Hub on-site - the edge device that processes those feeds in real time.
Connect viable CCTV you already run and skip the camera hardware cost, or add Sentinel cameras where you need coverage - the per-camera subscription is the same either way.
Sentinel Hub Mini Smaller-to-mid sites Fanless and compact - built for tighter footprints.
Sentinel Hub Pro Dense, large sites Flagship edge compute - scales a whole facility from one box.
Looking for additional hardware for better safety on your floor?
The full Sentinel suite - purpose-built for the toughest spots on your floor.
Core Motorized dome safety camera Beacon On-floor alert beacon Thermal Temperature & electrical hazards Depth Reach-in / struck-by depth camera Solar 4G-solar kit for remote sites Speaker IP horn speaker + mic
Wondering which plan is right for you?
We'll work with you to map your riskiest areas, size the camera coverage and hardware you need, and recommend the plan and term that fit.
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FORWARD DEPLOYED ENGINEERING
Can't find your use case above? We'll design one for you.
When our existing use cases aren't enough, our forward-deployed engineers build advanced safety, operations, and quality solutions with your team, tuned to how your operation actually runs.
Custom-built · FDE Solutions Engineered with you, tuned to your process.
If you're a safety, operations, or quality leader and don't see the solution you need, our forward-deployed engineers custom-build a bespoke solution that fits how your operation runs.
Safety - advanced detections beyond the standard library
Operations - throughput, flow, and process visibility
Quality - conformance checks on the line
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VALUE & ROI
See the return before you commit.
Estimated annual value Payback · 4 mo
$ 2.4M
range $2.1M–$2.7M
Cameras per site 64
Facilities 12
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ROI calculator
Estimate your avoided cost & payback - by site, cameras, and scope.
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Strategic Benefits
Verified Value Delivery
Study for
STUDY
Verified ROI study
An independent industry analyst, working with our customers, measured the return.
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PRICING FAQ
Pricing questions, answered.
Straight answers on how Intenseye is priced - and why your bill never grows per use case.
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How is Intenseye priced?
One annual subscription per connected camera , with every safety use case plus Chief, Insights and Actions included. Buy it as a multi-year subscription (opex), capex hardware on-site, or both. No per-incident or per-use-case fees ; economics improve with term and scale. Talk to us for a tailored quote.
Does Intenseye charge per use case?
No. Every use case is included on every camera. Many other tools meter per use case - so their bill grows every time you watch one more hazard.
Do I need to buy new cameras or hardware?
No - Intenseye runs on existing IP cameras via a Sentinel Hub. Add Sentinel cameras only where coverage is short, at the same per-camera rate.
Is this SaaS, or do we buy hardware?
Your choice - subscription (opex) and/or one-time hardware (capex). We match how your operation already invests.
What's included with every camera?
The full safety detection library plus Chief, Insights, Actions and Teams integration - at no extra charge.
What are Connect and EHS Suite?
Optional add-ons - Connect for enterprise integrations, EHS Suite for incident/inspection/audit workflow. Flat add-ons, not per-use-case charges.
Are there discounts for multi-year / multi-site?
Economics improve with term and footprint - talk to us for a tailored quote.
Is Intenseye more expensive than other tools?
Compare TCO and outcomes. Unlike per-use-case tools, your bill doesn't grow as you watch more hazards - and a single prevented serious injury typically dwarfs the annual cost.
How fast is deployment / time-to-value?
Fast on existing cameras - most programs deliver a readout within weeks.
Are there per-incident or hidden fees?
None. No per-incident fees and no per-use-case fees.
Won't per-camera pricing balloon at scale?
It's one simple subscription per camera with every use case included - you're never re-charged as you add detections, and economics improve as you scale.
What does "cheap" leave out?
Per-use-case bills that grow over time, the only purpose-built hardware family in the category, owning the whole stack edge→AI, real-time intervention (a machine stop in ~0.8s, not just an alert), Forward-Deployed engineering, SOC 2 Type II, and proven outcomes.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
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### Privacy Policy | Intenseye

URL: https://www.intenseye.com/privacy-policy/

Privacy Information Hub
Privacy Policy
Privacy Policy PDF →
Sub-Processors PDF →
Aydınlatma Metni PDF →
Last update: September 01, 2025
Intenseye provides AI based occupational health and safety solutions to its customers. It is Intenseye's policy to respect your privacy regarding any information we may collect from you across our Website and Software. This Privacy Policy ("Policy") has been prepared to inform you about the personal data collected from you through the Website and Software, purposes and legal bases for processing your personal data, transfer of your personal data, and your rights regarding your personal data under the applicable law.
1. Definitions
"Cookie Policy" means the document presented in our Website and Software regarding the data processing we conduct via cookies.
"Data controller" means a natural or legal person that determines the purposes and means of the personal data processing.
"Data processing" or simply "processing" means any activity relating to the use of personal data, including collection, retention, transfer, and disposal.
"Data processor" means a natural or legal person which processes personal data on behalf of the data controller.
"Data subject" means the person whose personal data is being processed.
"EU" means the European Union.
"GDPR" means Regulation (EU) 2016/679.
"CCPA" means California Consumer Privacy Act.
"Intenseye" means Intenseye Inc. or Intenseye GmbH.
"Personal data" means any information which relates to an identifiable natural person.
"Software" means the AI-powered image processing based workplace safety and security software application that has been developed and owned by Intenseye or applications and any third-party or other software, and all new versions, updates, revisions, improvements, and modifications of the foregoing, that Intenseye provides remote access to and use of as part of the Intenseye services.
"Website" means the Intenseye website with the domain name https://www.intenseye.com .
2. Principles for processing
Intenseye processes your personal data in accordance with the principles given below:
Lawfulness, transparency and fairness: We process your personal data in full compliance with the law, in a manner that can be reasonably expected and take care to be fully transparent to you, data subjects on our processing activities.
Purpose limitation: We only process your personal data for the specific reasons we collect your data as stated in this Policy.
Data minimization: We take care to not process any personal data that we do not need.
Accuracy: We take measures to make sure that the personal data we collect is adequate and accurate.
Storage limitation: We only store your personal data for the duration necessary to accomplish the reason of our processing or the duration specified in the relevant laws.
Confidentiality and integrity: We make sure your personal data is kept confidential and secure, that access to your data is limited to the persons who need to access it to fulfill the purposes stated in this Policy, and measures are taken to prevent unlawful processing and data loss, destruction or damage.
3. Personal data we collect
3.1. Data we collect as the data controller:
The data controller means the natural or legal person who determines the purposes and means of data processing. As Intenseye, we act as a data controller when processing your personal data below.
DISCLAIMER: Please be informed that Intenseye, Inc. and Intenseye GmbH. are not "joint controllers" under GDPR, as there is no oral or written agreement between these parties regarding the purposes and methods of data processing, and each mentioned party acts as an independent data controller with regards to their customers. If you wish to exercise your rights under this Policy, the liable entity will be determined by your location, your transactions and the contract (if any) you have entered into with that entity. If you have any hesitation in this regard, you can contact us through the communication channels we have provided in this Policy.
A. Data from your use of Website:
i. Personal data you provide to us
Data collected for newsletter: To send you newsletters about our products, services and other activities, we collect your e-mail data.
Data collected from our designated contact e-mail accounts: In our "Contact" page we list e-mail addresses, based on the subject of your application, to conduct our support services. If you choose to send an e-mail to those addresses, we collect your e-mail address along with any additional information you may choose to submit to us.
Data collected from potential customers: From visitors who apply for a demo, we may collect personal data such as name, surname, work e-mail, work position, company industry, location, the products/services requested and any additional information you may choose to submit.
Data collected from potential employees: From visitors who apply to a job posting in our "Careers" section, we may collect personal data such as your name and surname, e-mail address, phone number, current employer, location, data you included in your resume/CV if you submit it, LinkedIn profile and other website links you may provide, and additional information you may choose to submit.
Data collected from potential partners: From visitors who apply for potential partnership with Intenseye in our "Partner with us" section, we may collect personal data such as your name, surname, company name, location and additional information you may choose to submit.
ii. Personal data we collect automatically
Log data: When you visit our Website, our servers may automatically log the standard data provided by your web browser. It may include your computer's Internet Protocol (IP) address, your browser type and version, the pages you visit, the time and date of your visit, the time spent on each page, and other details.
Device data: We may also collect data about the device you're using to access our Website. This data may include the device type, operating system, unique device identifiers, device settings, and geo-location data. What we collect can depend on the individual settings of your device and software. We recommend checking the policies of your device manufacturer or software provider to learn what information they make available to us.
Cookies: We use "cookies" to collect information about you and your activity across our Website. A cookie is a small piece of data that our website stores on your computer, and accesses each time you visit, so we can understand how you use our Website. This helps us serve you content based on preferences you have specified.
B. Data from your use of the Software
i. Personal data you provide to us
Data collected for registration / log-in to the Software: We collect name, surname, e-mail address and photo data of our users to ensure access to the Software and open your personal account.
Data regarding the use of the Software: We collect the data on the use of the Software, such as which modules are used and location of the customer's facilities.
Data collected for support services: We collect your e-mail address along with any additional information you may choose to submit to us to provide support regarding the Software, including your requests and complaints regarding the software.
Service notifications: If you choose, we use your e-mail and phone number data to send you notifications regarding the use of Software, such as non-compliant situation alerts in your facilities.
ii. Personal data we collect automatically
Log data: When you use our Software, our servers may automatically log the standard data provided by your web browser. It may include your computer's Internet Protocol (IP) address, your browser type and version, the pages you visit, the time and date of your visit, the time spent on each page, and other details.
Device data: We may also collect data about the device you're using to access our Software. This data may include the device type, operating system, unique device identifiers, device settings, and geo-location data. What we collect can depend on the individual settings of your device and software. We recommend checking the policies of your device manufacturer or software provider to learn what information they make available to us.
Cookies: We use "cookies" to collect information about you and your activity across our online Software. A cookie is a small piece of data that our website stores on your computer, and accesses each time you visit, so we can understand how you use our Software. This helps us serve you content based on preferences you have specified.
3.2. Data we collect as the data processor during your use of Software:
Data processor is defined as natural or legal persons outside the organization of the data controller who process personal data on behalf of the data controller based on the authorization granted by the data controller.
The Software is an occupational health and safety platform based on artificial intelligence and image processing. Thus, as Intenseye, during the data processing specified below, we can process personal data on behalf of our customers as a data processor based on the authorization given by our customers and in accordance with the purpose of helping our customers ensure occupational health and safety and fulfilling our contractual obligations, within the periods specified by our customers, without the opportunity to directly reach the relevant persons, within a system where our customers can unilaterally prevent our data processing at any time.
In this context, we process non-biometric images (visual data) obtained as a result of camera recordings taken by our customers and transferred to Intenseye by our customers. During such visual data processing, we do not continuously record camera footage of our customers and we do not perform any tracking or data processing activities in addition to the camera monitoring activities carried out by our customers. We only give warnings through the Software if the Software detects an erroneous or dangerous situation in terms of occupational health and safety in the image processed through the cameras available at its customers' facilities. If there is no faulty or dangerous situation in terms of occupational health and safety in the processed image, the analyzed video frame is deleted and not stored on Intenseye servers. Only in case of faulty or hazardous situations or to increase the accuracy rates of artificial intelligence, data is collected from the selected camera for labeling and model training purposes and the images are saved.
In all the images on the Software, human faces are completely blurred/masked and pseudonymized.
DISCLAIMER: We provide our services by connecting to cameras already located on our customers' facilities and act as a data processor on behalf of our customers. Thus, it is not possible for us to fulfill the clarification obligation for data processing activities under the applicable law directly to the data subjects (employees). Our customers may need to add "ensuring occupational health and safety" or any other statement they deem appropriate among the data processing purposes stated in their existing clarification texts regarding camera surveillance activities.
4. Legal bases for processing
We collect and process your personal data only when we have legal bases for doing so under the applicable law.
In cases where we are the data controller; we process your personal data based on the following legal reasons:
4.1. For the Website; we depend on the following legal bases for processing:
Purpose/Activity Data Types Lawful Basis
Sending newsletters/marketing communications E-mail We have your explicit consent.
Support services Name, surname, e-mail It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
Employment applications Name, surname, e-mail address, phone number, current company name, country, information included in the resume/CV, additional information you may choose to provide It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
We have a legitimate interest (to conduct our HR processes and evaluate potential employees).
Partnership applications Name, surname, e-mail address, company name, company location, additional information that you may provide It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
We have a legitimate interest (to conduct our partnership processes and evaluate potential partners).
Demo/sales applications Name, surname, work e-mail, company name, position, company industry, location, service/modules requested, additional information that you may provide It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
We have a legitimate interest (to conduct our sales processes and evaluate potential customers).
Operating, customizing, and improve Website Log data, device data, cookies We have a legitimate interest (to improve our Website so we can provide you with a more user-friendly, transparent and accessible Website experience).
Analytics and market research Log data, device data, cookies We have a legitimate interest (to track your Website use, conduct market research and provide you with higher quality services).
We have your explicit consent.
Legal obligations All data We need to process your data to comply with a legal obligation.
4.2. For the Software; we depend on the following legal bases for processing:
Purpose/Activity Data Types Lawful Basis
Opening your account and providing our services Name, surname, e-mail, phone number, photo It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
Conducting sale and after-sale operations Name, surname, e-mail, phone number, additional information that you may provide It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
We have a legitimate interest (to conduct our sales operations).
Providing support services Name, surname, e-mail, phone number, additional information that you may provide It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
Manage requests and complaints Name, surname, e-mail, phone number, additional information that you may provide It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
Improving our Software Log data, device data, cookies We have a legitimate interest (to improve our Software so that we can provide you with a higher quality Service).
Sending updates about our Software and services Name, surname, e-mail address It's necessary for the performance of a contract to which you are a party or to take steps at your request before entering into such a contract.
Analytics and market research Log data, device data, cookies We have a legitimate interest (to track your Software use, conduct market research and provide you with a higher quality service).
We have your explicit consent.
Legal obligations All data We need to process your data to comply with a legal obligation.
Analyzing, developing, testing, improving and operating our Software and providing and supporting our services via Software Visual data AS DETAILED ABOVE, WE USE SUCH VISUAL DATA AS DATA PROCESSOR, FOR THE SOLE PURPOSE OF PROVIDING YOU WITH SERVICES AS DETERMINED BY THE CUSTOMER, AND TRAIN OUR SOFTWARE TO PROVIDE HIGH QUALITY SERVICE.
Where you consent to our use of your personal data for a specific purpose, you have the right to change your mind at any time (but this will not affect any processing that has already taken place).
5. Collection and use of information
We may collect, hold, use and disclose personal data for the following purposes and personal data will not be further processed in a manner that is incompatible with these purposes:
5.1. For the Website:
To enable you to customize or personalize your experience of our Website,
To enable you to access and use our Website, associated applications and associated social media platforms,
To contact and communicate with you,
To consider your demo/sales application,
To conduct our support services,
For internal record keeping and administrative purposes,
To be able to provide internal and external audit and to provide information/documents to authorized institutions and organizations,
For analytics, market research and business development, including to operate and improve our Website, associated applications and associated social media platforms,
To offer additional benefits to you,
For advertising and marketing, including to send you promotional information about our products and services and information about third parties that we consider may be of interest to you,
To comply with our legal obligations and resolve any disputes that we may have,
To consider your partnership application and/or
To consider your employment application.
5.2. For the Software:
To be able to fulfill the requirements of our services provided via our Software,
To be able to carry out sales and after-sales services for Software,
To manage requests and complaints regarding the Software,
To conduct our support services,
To increase the accuracy rates of artificial intelligence,
For analytics, market research and business development, including to operate and improve our Website, associated applications and associated social media platforms,
For advertising and marketing, including to send you promotional information about our products and services and information about third parties that we consider may be of interest to you,
To comply with our legal obligations and resolve any disputes that we may have,
For internal record keeping and administrative purposes, and/or
To be able to provide internal and external audits and to provide information/documents to authorized institutions and organizations.
6. Retention
We don't keep personal data for longer than is necessary. In order to provide our services and fulfill our contractual obligations to you, we retain your personal data for a minimum period of thirty (30) days.
You are free to change the retention period for different data categories via our Software or by contacting us directly, provided that such retention period remains higher than thirty (30) days. Please note that any change to retention period will not be applicable for data acquired by Intenseye before the date of change. Your right to request the erasure of your data under applicable law is always reserved.
If necessary, we may retain your personal data for our compliance with a legal obligation or to protect your vital interests or the vital interests of another natural person.
7. Disclosure of personal data to third parties
We do not sell, trade, or otherwise transfer your personal data like phone number to third parties/affiliates/business partners. To provide our services, we may disclose personal data to:
Third party service providers for the purpose of enabling them to provide their services, including (without limitation) IT service providers, data storage, hosting and server providers, ad networks, analytics, error loggers, maintenance or problem-solving providers, marketing or advertising providers, professional advisors;
Our employees, contractors and/or related entities;
Courts, tribunals and regulatory authorities, in the event you fail to pay for goods or services we have provided to you;
Courts, tribunals, regulatory authorities and law enforcement officers, as required by law, in connection with any actual or prospective legal proceedings, or in order to establish, exercise or defend our legal rights; and
Third parties, including agents or sub-contractors, who assist us in providing information, products, services or direct marketing to you.
You can view the full list of our sub-processors here .
8. International transfers of personal data
The personal data we collect is stored and processed in where we or our partners, affiliates and third-party providers maintain facilities. For renting GPU servers, we use Google Cloud. For static media storage we use AWS S3 (in cases where we process your visual data as data processor in accordance with this Policy). If you request, we can move your data to other regions depending on the options presented by our cloud service providers.
By providing us with your personal information, you consent to the disclosure to these overseas third parties. As Intenseye, we do our best to ensure the necessary measures to protect your data under the applicable law, international standards and sectoral practices in cases of such transfer.
If you reside in the EU; we will ensure that any transfer of personal data from countries in the European Economic Area (EEA) to countries outside the EEA will be protected by appropriate safeguards, for example by using standard contractual clauses approved by the European Commission, or the use of binding corporate rules or other legally accepted means.
Where we transfer personal data from a non-EEA country to another country, you acknowledge that third parties in other jurisdictions may not be subject to similar data protection laws to the ones in our jurisdiction. There are risks if any such third party engages in any act or practice that would contravene the data privacy laws in our jurisdiction and this might mean that you will not be able to seek redress under our jurisdiction's privacy laws.
8. Data security
We establish and maintain administrative and technical measures designed to provide reasonable security for your personal data against unlawful access, use, disclosure, alteration and loss. The security measures include but are not limited to firewalls, data encryption, dedicated servers, physical access controls to our data centers and offices, information access authorization controls, pseudonymization, anonymization, and randomization. That said, we advise that no method of electronic transmission or storage is 100% secure and cannot guarantee absolute data security.
9. Your rights and controlling your data
9.1. Your rights:
As a data subject, you have the following rights regarding your personal data:
The right to be informed: You can request information about the processing activities we conduct with your personal data.
The right of access: You can request a copy of your personal data. Where possible, we will provide this information in CSV format or other easily readable machine format.
The right to rectification: You can request us to correct any incomplete/inaccurate data we hold about you.
The right to erasure: You can request us to delete/remove your personal data unless there is a lawful basis for us to continue processing it.
The right to restrict processing: You have the right to restrict the collection or use of your personal data unless there is a lawful basis for us to continue processing. If you have previously agreed to us using your personal data for direct marketing purposes, you may change your mind at any time by contacting us using the details below. If you ask us to restrict or limit how we process your personal data, we will let you know how the restriction affects your use of our Website/Software.
The right to data portability: You may request that we transfer your personal data to another third party.
The right to object: You have the right to object to your personal data being processed unless there is a legal basis for such processing.
Rights in relation to automated decision-making: You have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning you or significantly affects you.
We will respond to you in case of such requests within one (1) month.
9.2. Legal capacity:
If you are under 16 years of age, you must have, and warrant to the extent permitted by law to us, that you have your parent or legal guardian's permission to access and use the Website/Software and they (your parents or guardian) have consented to you providing us with your personal data.
9.3. Information from third parties:
If we receive personal data about you from a third party, we will protect it as set out in this Policy. If you are a third party providing personal data about somebody else, you represent and warrant that you have such person's consent to provide the personal data to us.
9.4. Notification of data breaches:
In case of a data breach, we will quickly (and not later than 72 hours) notify it to you.
9.5. Unsubscribe from communications:
To unsubscribe from our e-mail database or opt-out of communications (including marketing communications), please contact us using the details below or opt-out using the opt-out facilities provided in the communication.
10. Business transfers
If we or our assets are acquired, or in the unlikely event that we go out of business or enter bankruptcy, we would include data among the assets transferred to any parties who acquire us. You acknowledge that such transfers may occur, and that any parties who acquire us may continue to use your personal data according to this Policy.
11. Applicable law
11.1. GDPR
GDPR will be applicable for the below mentioned data processing activities under this Policy.
(i) The data processing activities of Intenseye Inc. within the EU for its activities related to the offering of goods and services via Website/Software.
(ii) The data processing activities of Intenseye GmbH as an entity established in the EU, via our Website/Software.
11.2. California
Pursuant to California law; we detail the categories of personal data that we process and disclose for certain "business purposes" to third parties such as our service providers in this Policy. We don't sell the personal information we collect, under any circumstances. We use the data we collect solely for the purposes stated in this Policy and only share with third parties who have agreed to undertake obligations under the applicable law regarding the protection of personal data and implement measures to this effect which are at the very least equivalent to those taken by us.
Pursuant to the CCPA, unless there is a legal basis for us to refuse such request, you have the right to request information on the processing of your personal data, correction or erasure of your data, and not be discriminated against for exercising those rights.
To this effect, you may file a request with us to exercise such rights under the CCPA via the contact information given below, or designate an authorized agent to exercise these rights on your behalf, provided that such person provides proof of authorization.
11.3. Other
Depending on your location and from which one of our companies you procure our services, the applicable law may vary. As Intenseye, we show our absolute best effort to ensure your data is protected in accordance with the applicable law, international standards and sectoral practices.
12. Limits of our Policy
Our Website/Software may link to external websites that are not operated by us. Please be aware that we have no control over the content and policies of those websites and cannot accept responsibility or liability for their respective privacy practices.
13. Changes to this Policy
At our discretion, we may change our Policy to reflect current acceptable practices. We will take reasonable steps to let users know about changes via our Website/Software. Your continued use of this Website/Software after any changes to this Policy and its notification will be regarded as acceptance of our practices around privacy and personal data.
14. Contact Information
If you have any questions about our Policy, our data processing activities or you would like to exercise one of your rights, you can contact us via the contact information detailed below. If you would like to report a complaint or believe our return to your communications were insufficient, you can contact the relevant supervisory authority in your jurisdiction:
Data Controller (please check Article 11)
Intenseye Inc.
1250 Broadway, Suite 401, New York NY 10001
privacy@intenseye.com
Intenseye GmbH
Oranienburger Str. 23 10178 Berlin – Germany
privacy@intenseye.com
Data Protection Officer
Melih Yönet
privacy@intenseye.com

### Intenseye Product Demo Video

URL: https://www.intenseye.com/product-demo-video/

See how safety teams move from data to action
Most safety programs generate data. Our on-demand demo shows how EHS and operations teams turn it into corrective actions, through a product tour of real workflows for detecting risk, assigning accountability, coaching workers, and tracking impact.
Watch real alert review, task creation, and coaching workflows inside the platform
Explore how Visual Analytics surfaces risk patterns that manual observation misses
See how Chief, our AI agent, converts safety data into answers and meeting-ready summaries
Watch the product demo
Fill in your details to unlock the on-demand demo video.
First Name*
Last Name*
Email* Company name* Job title* Intenseye needs the information you provide to contact you about our offerings. You may unsubscribe at anytime. For details on how to unsubscribe, visit our Privacy Policy .
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Watch the Demo You're in — enjoy the demo.

### Forward Deployed Engineering - Intenseye engineers on your floor

URL: https://www.intenseye.com/products/forward-deployed-engineering/

FORWARD DEPLOYED ENGINEERING
On-site engineering for
high-risk operations.
Forward Deployed Engineering brings Intenseye engineers on site to map how work actually happens, validate high-risk workflows, connect to your controls, and configure the right solution for your environment.
Book a demo →
On site
Engineers observe the real workflow, environment, and risk points firsthand.
Connected to your controls
Integrated with the PLCs, systems, and infrastructure your operation already runs.
Built for hard-stop logic
Configured for the moments where detection needs to trigger physical intervention.
Adapted to your floor
Calibrated around your zones, workflows, equipment, and operating reality.
WHAT IS IT What is Forward Deployed Engineering?
Intenseye engineers embed on your floor to understand real operating conditions, validate assumptions where work actually happens, and adapt the solution to your operation - for complex, high-risk environments where safety, operations, and production have to move together. It's how we deliver when a standard deployment isn't enough.
Lockout-tagout Machine guarding PLC controls Training Audits
Still exposed: the risk created by real-time decisions on the floor - the shortcut that didn't cause an injury this time.
THE GAP WE CLOSE Even mature safety programs still have exposure.
Lockout-tagout, machine guarding, PLC controls, training, and audits all reduce risk. But real-time decisions, workarounds, and human-machine interactions still create exposure on the floor. Forward Deployed Engineering finds those live risk points and configures Intenseye around how the work actually happens.
HOW WE WORK We build from the floor up.
01
Map the real workflow
Walk the line, observe normal and abnormal work, and identify where people, machines, contractors, and timing pressure create exposure.
02
Reduce to first principles
Translate the risk into clear detection logic, thresholds, zones, and response rules before the system is configured.
03
Connect and validate
Integrate with cameras, PLCs, and site systems, then test against live conditions until the workflow is accurate and usable.
04
Hand over the system
Document the deployment, train the team, and leave behind a working system built around your operation, not a generic template.
FEATURED ENGAGEMENT
On the floor at CRH
Americas Building Products.
CRH ran a mature safety program - lockout-tagout, machine guarding, PLC controls, training, audits. The exposure wasn't missing controls; it was the risk created by real-time decisions despite them. Our engineers embedded on site, prioritized the highest-severity human–machine zones, and integrated directly with existing PLC-based controls - so a detection now becomes a physical machine stop in about 0.8 seconds.
1 Unsafe act detected →
2 Signal sent →
3 Machine stops automatically →
4 Team alerted
"The Intenseye team approached this project with a level of care and operational respect that is rare in technology deployments - a true partnership built on trust."
Bob Malin VP of EHS, Oldcastle APG
WHERE IT MATTERS MOST The hardest human–machine challenges.
Our engineers embed where human-machine exposure is highest, from packaging and paper to building materials and distribution. They work on site to understand the workflow, validate the risk, and configure Intenseye around how the operation actually runs.
A packaging manufacturer
Embedded with the line team to guard the highest-severity reach-in zones.
PACKAGING
A paper mill
Integrated with plant controls so protection stays active whenever equipment runs.
PAPER
A distribution network
Cold-chain dwell prevention - catching the exposure that only shows up in how work is done.
DISTRIBUTION
THE HARDEST PROBLEM WE SOLVE When a light curtain isn't enough.
Some reach-in risks are too specific for standard guarding alone. The line still has to run, the task still has to happen, and a hand can never enter the danger point. Our engineers map the motion on site, tune Sentinel Depth to the task, and connect the stop logic to the machine controls.
It knows a hand from a stick.
Our engineers build a 3D danger plane around the machine and tune it to recognize what crosses it - so the line stops for a person reaching in, not for the product moving through.
Light curtain Sentinel Depth
A broken beam - presence only The 3D scene - what crossed the plane
Nuisance stops → gets bypassed Stops for the real hazard → uptime
Fixed hardware - re-rig to change Software-defined zones per task
PARTNER, NOT VENDOR A deployment built with your team.
Forward Deployed Engineering stays close to the work from first pilot to broader rollout. We configure the system around your floor, install it to your standards, validate it in production, and leave your team with a deployment they can trust and scale.
TO YOUR OPERATION
Configured to your operation
Built around your machines, workflows, zones, and risk logic. Not a one-size-fits-all deployment.
ON-SITE INSTALL
Installed to site standards
Hardware installed on site with your safety, IT, and facilities requirements accounted for.
DEDICATED TEAM
Validated past go-live
Our engineers stay involved through pilot, tuning, and production use, not just launch day.
LONG-TERM
Ready to scale
Once the workflow is proven, the system is documented so it can expand across lines, sites, and facilities.
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
What is Forward Deployed Engineering?
Intenseye engineers embedding on your floor to solve complex, high-risk safety challenges a standard deployment can't.
When do you use it?
For complex human–machine environments - machine-disable, hard-stop integrations, and exposure that only shows up in how work is actually done.
Do you integrate with our PLCs/controls?
Yes - direct integration with existing PLC-based controls, validated on site.
Who installs the hardware?
Our install partner, Security101.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Hardware Suite - Intenseye physical AI for the floor

URL: https://www.intenseye.com/products/hardware-sentinel/

SENTINEL HARDWARE SUITE Built to protect
Sentinel is Intenseye’s purpose-built physical-AI hardware - cameras, edge compute, thermal, depth, speakers, and Hard Stop - running real-time safety AI right on-site. On the cameras you already have, or ours.
Book a demo →
WHY SENTINEL Seamless install Expert site survey - no compatibility surprises.
Secure on-site processing Private, real-time insights at the edge.
Tuned to your site Models learn from your data only.
Runs AI on-site On-device edge compute - no cloud round-trip.
Sentinel + CCTV LTE · Wi-Fi · PoE - your cameras or ours.
Production-grade Not a dev kit - hardened for the floor.
SENTINEL HARDWARE AI safety hardware built to detect, warn, and intervene.
Explore the Sentinel family of cameras, edge compute, speakers, solar kits, depth sensors, and hard-stop controls. Each device is purpose-built for a specific safety challenge, helping teams extend coverage, process detections on-site, warn workers, and act on risk in real time.
Core Hub Hub Pro Beacon Thermal Speaker Solar Depth Hard Stop
Coming soon
SENTINEL CORE Motorized dome safety camera
The flagship eye on your floor - sees wide, tracks motion, and feeds detection in real time.
Learn more → ‹
SENTINEL HUB Industrial edge AI compute
Runs AI on-site for the cameras you already have - no cloud round-trip.
Learn more → ‹
SENTINEL HUB PRO High-density edge compute
Scales detection across the largest sites from a single rack.
Learn more → ‹
SENTINEL BEACON PoE LED signal tower + buzzer
Turns detections into instant, floor-level light and sound.
Learn more → ‹
SENTINEL THERMAL Heat & electrical hazard camera
Sees temperature anomalies people and standard cameras miss.
Learn more → ‹
SENTINEL SPEAKER IP horn speaker + mic
Warns workers in the moment, right where the hazard is.
Learn more → ‹
SENTINEL SOLAR 4G-solar camera kit
Brings detection to remote yards with no power or network.
Learn more → ‹
SENTINEL DEPTH Reach-in & machine guarding
Guards presses, winders, and robotic cells from reach-in.
Learn more → ‹
HARD STOP Industrial PLC hard-stop
Halts a machine the instant someone steps into danger - in 0.8s.
Learn more → ‹
4K @ 30FPS
Reads a torn glove or open guard across the bay.
50+ DETECTIONS PRELOADED
PPE, ergonomics, vehicles, zones - from day one.
0.005 LUX + IR TO 50M
Color in near-dark, IR in pitch black.
120dB WDR · IP67 · −40–60°C
Handles glare, dust, and heat on the floor.
NVIDIA JETSON ORIN NX
GPU edge AI; every frame processed on-site.
YOUR CAMERAS OR OURS · 200+ BRANDS
Connects existing CCTV and Sentinel devices.
PoE · CAN BUS · RS-485 · DI/DO
Talks to modern and legacy PLCs.
FANLESS · −20–60°C · 9–36V DC
Industrial-grade; runs where IT closets can't.
NVIDIA JETSON THOR T5000
~2070 TFLOPS - flagship edge compute.
128GB LPDDR5X
More models and streams, no sweat.
UP TO 25 DEVICES, ONE BOX
Scales a whole facility from one server.
4× 25GbE · CAN FD · TPM
High-bandwidth, secure, enterprise-scale.
5-TIER LED · 9 COLORS
Up to 21 in Smart Mode - 11 display patterns.
BUZZER ≥85 dB · 11 SOUNDS
Tones from 2,400-4,800 Hz, heard across the floor.
ONE PoE CABLE
IEEE 802.3af - power and data over a single RJ-45.
DETECTION → TIER + TONE
Intenseye maps each alert to color, pattern, and sound.
DUAL SENSOR · THERMAL + OPTICAL
Sees heat and the scene together.
NETD < 50 mK
Resolves heat differences the eye can't.
−20–150°C · ±2°C
Alarms on threshold, difference, or rise.
EARLY FIRE TO ~417M
Learns the baseline; catches a hot spot early.
UP TO 120dB (30W)
Heard over machinery, the moment it matters.
TWO-WAY INTERCOM
Built-in mic - warn and talk back to the floor.
IP66 · −30–60°C
Sealed and rugged, indoor or outdoor.
PoE / 12–24V · SIP/ONVIF
Drops into your network, triggers on detection.
4G/LTE · NO NETWORK NEEDED
Streams detection from anywhere with cellular.
SOLAR-POWERED · OFF-GRID
No mains power, no trenching, no wiring.
REMOTE YARDS & OUTDOOR ZONES
Coverage where cameras never reached.
RAPID POLE-MOUNT
Drop it on a pole and it's watching.
STEREO 3D · METRIC DANGER PLANE
A real 3D boundary around the machine.
FUSES DETECTION + POSE + DEPTH
Multi-model fusion, robust to glare and angles.
HAND CROSSES PLANE → STOP
Guards winders, presses, robotic cells.
AUDITABLE 3D EVIDENCE
Every alert ties to real geometry.
SIGNAL → STOP IN ~0.8s
Sub-second - faster than a person can react.
MODERN & LEGACY PLCs
Integrates with the controls you already run.
START-INHIBIT + INTERLOCK
Motion only when every condition is safe.
TAMPER → FAIL-SAFE
A covered or defeated camera triggers a safe stop.
DEPLOYMENT & PRIVACY Privacy controls,
built in and easy.
Full control over what’s captured, shown, and retained - processed on-site, applied at the edge.
One-click toggles. Face blurring, 3D body anonymization, dynamic masking.
Edge anonymization. Privacy applied before data leaves the device.
Retention controls. Set clip and analytics retention per site.
Audit-friendly. Per-site policies, logs, and permissions.
01 Facial blurring
Applied to all video by default, so facial information can’t be reverse-engineered.
02 Dynamic masking
Subtly obscures individuals in motion, safeguarding identity while keeping the movement data for analysis.
03 Timestamp anonymization
Incident times are anonymized, preventing who-by-when identification while keeping site-level analysis.
OUR CAMERAS OR YOURS Our cameras, or yours.
Sentinel Hub pulls live video from both Sentinel devices and the CCTV you already have - one architecture, every feed flowing into on-site AI.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
HARD STOP · OLDCASTLE APG Only Sentinel stops the line, in real time.
Act before it happens. Hard Stop integrates with existing PLCs and industrial systems to stop machines instantly when high-risk behaviors or conditions are detected.
1 Unsafe act detected →
2 Signal sent →
3 Machine stops automatically →
4 Team alerted
“Compliance alone won’t save people. We need real-time prevention.”
Bob Malin VP EHS&S, Oldcastle APG
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Beacon - LED signal tower for safety alerts | Intenseye

URL: https://www.intenseye.com/products/hardware-sentinel-beacon/

SENTINEL BEACON Detections the floor can see and hear.
Sentinel Beacon turns Intenseye detections into instant, floor-level signals. A five-tier LED signal tower with an integrated buzzer so the moment a hazard is spotted, the right people see it and hear it.
Book a demo →
WHAT IT DOES Signals that reach the floor first.
Turn detections into floor-level signals
When Intenseye spots a hazard, the platform drives Beacon over the network - tier color, pattern, and buzzer sound matched to the event.
Seen and heard over the noise
Five stackable tiers with 9 colors - up to 21 in Smart Mode - and a ≥85 dB buzzer with 11 tones cut through plant noise.
One cable, anywhere on the network
PoE carries power and data on a single RJ-45 run - place Beacon at the line, the aisle, or the door where crews actually look.
PoE 5-tier LED signal tower · buzzer
Signal tower & LED
9 colors · up to 21 in Smart Mode
Continuous, flashing, or lights-off per tier - 11 display patterns at 30, 60, or 120 flashes per minute.
Integrated buzzer
≥85 dB · 11 sounds
Continuous, intermittent, and multiplexed tones from 2,400 to 4,800 Hz - heard across the floor.
Power & PoE
IEEE 802.3af Class 0 · 24 VDC
One RJ-45 cable carries power and data - 8.6 W typical on PoE, 12.5 W max.
Connectivity
Ethernet 10/100
RJ-45 network, micro-B USB, and a screwless terminal block with 8 contact inputs.
Control & command
Modbus/TCP · HTTP · PNS / PHN
In the Intenseye deployment, Beacon is driven over the network - the platform maps detections to tier color, pattern, and buzzer sound, so escalation on the floor is automatic.
Environment
IP20 · −10–50°C · indoor
Mounts upright on a stable surface, or on the wall with the NH-WST2 bracket.
BUILD & MOUNTING A signal tower the whole floor reads.
An off-white ABS tower with five stackable LED tiers and a buzzer in the body - upright on its base or on the NH-WST2 wall bracket, with one PoE cable in through the base.
YOUR CAMERAS OR OURS Signals, driven by the whole network.
Beacon connects through the Sentinel Hub, alongside Sentinel cameras and supported CCTV. When any device detects a hazard, the platform maps it to a tier color, pattern, and buzzer sound - escalation on the floor is automatic.
SENTINEL
YOUR CCTV
Core
Beacon
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
BEACON IN ACTION When it happens, the floor knows.
Detections from anywhere in the network drive Beacon’s tiers and buzzer - four moments where a floor-level signal changes the outcome.
ANONYMIZED · NO FACIAL RECOGNITION
FORKLIFT PROXIMITY 01 / 04
Red tier at the dock door.
A near-miss in the aisle drives the red tier and an intermittent tone at the crossing - the driver and the pedestrian both know, instantly.
Red flash · 60 per minute
Intermittent 2,400 Hz tone
Event lands in Intenseye too
ANONYMIZED · NO FACIAL RECOGNITION
AREA CONTROL 02 / 04
The line everyone can hear.
Entry into a restricted zone triggers the beacon at the gate - amber on approach, red plus buzzer the moment someone crosses.
Per-zone escalation rules
Amber → red tier steps
≥85 dB over plant noise
ANONYMIZED · NO FACIAL RECOGNITION
PPE COMPLIANCE 03 / 04
A nudge before a write-up.
Missing PPE at the door lights the amber tier - a correction in the moment, not a report at the end of the shift.
Continuous amber tier
No facial recognition
Trends by area and shift
ANONYMIZED · NO FACIAL RECOGNITION
SUSPENDED LOAD 04 / 04
Clear of the load.
Someone under a suspended load drives red flash and buzzer across the bay - move first, review later, clip attached.
Red flash + buzzer
Driven over Modbus/TCP
Evidence clip attached
THE SENTINEL FAMILY Beacon connects through the Sentinel Hub.
One suite, purpose-built for every hazard on the floor. Explore the devices that work alongside Beacon.
All Sentinel devices →
Sentinel Hub Industrial edge AI compute Learn more → Sentinel Hub Pro Flagship edge compute Learn more → Sentinel Solar 4G-solar remote kit · soon Learn more → Sentinel Core AI safety camera · 50+ detections Learn more → Sentinel Depth Machine-guarding depth Learn more → Sentinel Thermal Heat + electrical hazards Learn more → Sentinel Speaker IP horn + intercom Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Core - AI safety camera with 50+ detections | Intenseye

URL: https://www.intenseye.com/products/hardware-sentinel-core/

SENTINEL CORE The flagship eye
on your floor.
Sentinel Core is an AI safety camera designed for the areas where visibility matters most. With 50+ built-in safety detections, wide-area coverage, motion tracking, and performance in both day and night conditions, it helps teams detect high-risk hazards as they happen.
Book a demo →
WHAT IT DOES One camera, built to prevent.
Risk coverage from day one
Sentinel Core comes preloaded with 50+ safety detections for the hazards most often tied to serious injuries, including PPE, ergonomics, vehicle-pedestrian interaction, and machine zones. Teams can start monitoring high-risk areas from the first install.
Continuous visibility across every shift
Sentinel Core gives teams 24/7 visibility into how work is actually happening across high-risk areas, not just what is observed during scheduled audits or walkthroughs.
On-site AI, built for the floor
Sentinel Core runs AI on-site through the Sentinel Hub, without relying on cloud-based video processing or a dedicated server room. It is designed to hold up in industrial environments and keep detection close to where the work happens.
AI safety camera
Imaging
4K @30fps
4K at 30fps with 120dB WDR — detail that stands up in an incident review, even against glare.
Low light
0.005 lux
Starlight color plus IR to 50 m — catches the night shift and the dim corners audits never see.
Detections
50+
PPE, vehicles, zones, ergonomics — 50+ detections watched from day one.
Build
IP67 · IK10
Vandal-proof metal housing, −40–60°C — survives washdown, dust, and impact, cold storage to foundry.
Processing
Sentinel Hub
On-site AI on the Sentinel Hub, no cloud round-trip — alerts land in real time.
Fit
PoE · ONVIF
NDAA-compliant — drops into the network and VMS you already run.
BUILD & MOUNTING Compact build. Flexible installation.
Sentinel Core combines a compact metal turret design with flexible mounting options (including magnetic mounts) for poles, corners, and walls. With robust housing and clear physical specifications, it’s designed to fit into the work areas where reliable safety visibility matters most.
YOUR CAMERAS OR OURS Core sees what your cameras can't.
Sentinel Core extends AI safety coverage into the areas where standard CCTV can fall short, including low light, distance, glare, dust, washdown, and impact. It connects through Sentinel Hub alongside your existing cameras across 200+ supported brands.
SENTINEL
YOUR CCTV
Beacon
Core
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
CORE IN ACTION One camera, every high-risk moment.
See how Sentinel Core catches the hazards that matter most - across the floor's top use cases.
ANONYMIZED · NO FACIAL RECOGNITION
PPE COMPLIANCE 01 / 04
Spots missing PPE, by area and shift.
Sentinel Core spots missing eye protection, hard hats, or gloves - tracked by zone and shift so gaps are caught before they become incidents.
50+ detections preloaded
4K detail across the bay
Works in low light
ANONYMIZED · NO FACIAL RECOGNITION
VEHICLE–PEDESTRIAN 02 / 04
Catch the near-miss before it happens.
Catches the near-miss before a forklift meets a person - flagging unsafe proximity in aisles, intersections, and dock zones in real time.
Wide motorized FOV
Motion tracking
Real-time alert
ANONYMIZED · NO FACIAL RECOGNITION
ERGONOMICS 03 / 04
Flag risky lifts and repetition.
Flags risky lifts and repetitive motion that drive musculoskeletal disorders - objective, continuous, and consistent across every shift.
Pose-aware detection
Continuous & objective
No manual audits
ANONYMIZED · NO FACIAL RECOGNITION
AREA CONTROL 04 / 04
Flag unsafe entry into danger zones.
Flags unsafe entry into machine and line-of-fire zones - with rules per area, day or night, all processed at the edge.
Custom zone rules
Day/night with IR
Edge-processed
THE SENTINEL FAMILY Extend safety coverage across your site.
Pair Sentinel Core with the devices built for different hazards, zones, and intervention needs, including edge compute, speakers, traffic monitoring, thermal detection, solar-powered remote coverage, and PLC hard-stop controls.
All Sentinel devices →
Sentinel Hub Industrial edge AI compute Learn more → Sentinel Hub Pro Flagship edge compute Learn more → Sentinel Thermal Heat + electrical hazards Learn more → Sentinel Depth Machine-guarding depth Learn more → Sentinel Speaker IP horn + intercom Learn more → Sentinel Beacon Floor-level signaling Learn more → Sentinel Solar 4G-solar remote kit Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Depth - 3D machine-guarding camera | Intenseye

URL: https://www.intenseye.com/products/hardware-sentinel-depth/

SENTINEL DEPTH 3D machine guarding for high-risk equipment.
Sentinel Depth is purpose-built for reach-in and struck-by risks around industrial machinery. It uses stereo vision to define a 3D danger zone and can trigger a hard stop when a person or object crosses into the protected area.
Book a demo →
WHAT IT DOES Machine guarding with depth, detection, and proof.
Stop danger-zone entry
Sentinel Depth creates a 3D danger zone around high-risk machinery. When a hand, arm, person, or object crosses the protected boundary, it can trigger a hard stop before contact occurs.
Work beyond 2D detection
Depth sensing helps verify position and distance in conditions where flat 2D detection can struggle, including glare, reflections, clutter, and angled approaches around the machine.
Review every stop
Each stop is tied to machine geometry and reviewable 3D data, giving teams the context they need to investigate events, validate interventions, and stand behind what happened.
3D machine guarding
Vision
3D · global shutter
Intel RealSense D455e stereo builds a metric danger plane around real machine geometry, with clean capture of fast motion.
Decision
Fusion · pose + depth
Detection, pose, and depth fused - robust where 2D vision fails: glare, reflections, clutter, odd angles.
Act
<0.8 s
Plane crossing to Hard Stop in under 0.8 seconds, straight to the PLC.
Evidence
3D point cloud
Every stop exports real geometry - auditable, not a black box.
Connectivity
GigE PoE
One cable, data to 100 m, on threaded M12 / M8 industrial connectors.
Build & processing
IP66 /67
Industrial housing (IP67 on project basis); runs on-site on the Sentinel Hub, no cloud round-trip.
BUILD & MOUNTING Compact 3D sensing, mounted at the machine.
Sentinel Depth is a compact stereo bar designed to sit near the machine danger zone. With industrial M12 Ethernet and M8 power connectors, GigE PoE support, data runs up to 100 m, and IP66 housing, it brings depth-based guarding close to the equipment it protects.
YOUR CAMERAS OR OURS Add guarding where machines need it most.
Sentinel Depth connects through Sentinel Hub alongside Sentinel cameras and supported CCTV, adding a dedicated depth-sensing layer for winders, presses, robotic cells, and other high-risk machines. Use it where standard visual monitoring is not enough to verify danger-zone entry or trigger a hard stop.
SENTINEL
YOUR CCTV
Core
Depth
Thermal
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
DEPTH IN ACTION Protect the zone standard cameras can’t verify.
Sentinel Depth creates a depth-based danger zone around machines, edges, and moving equipment. It helps verify when a person or object has crossed into the protected space, so teams can trigger hard stops with more confidence than a flat 2D line.
ANONYMIZED · NO FACIAL RECOGNITION
MACHINE DANGER ZONE 01 / 04
Across the invisible line.
A volumetric danger zone around presses and robots fires the moment a person crosses it - depth the floor camera can’t judge.
Volumetric 3D zones
Sub-second trigger
PLC hard-stop ready
ANONYMIZED · NO FACIAL RECOGNITION
WORKING AT HEIGHT 02 / 04
The edge you can’t see in 2D.
Depth sensing flags unprotected edges and platform access that flat cameras simply can’t measure.
True 3D geometry
Edge & platform rules
Fall-risk alerting
ANONYMIZED · NO FACIAL RECOGNITION
UNDER SUSPENDED LOADS 03 / 04
Beneath the load.
Detects people entering the volume under a crane or hoist - the line-of-fire zone that moves with the load.
Dynamic 3D zones
Line-of-fire logic
Real-time warning
ANONYMIZED · NO FACIAL RECOGNITION
UNSAFE ACCESS 04 / 04
Climbing where they shouldn’t.
Recognizes climbing on racking, machinery, and structures using full body geometry in three dimensions.
Pose + depth fusion
Structure-specific rules
Instant escalation
THE MACHINE-REACH STOP Depth sees it.
Hard Stop intervenes.
THIS DEVICE Sentinel Depth
Watches the metric danger plane in 3D and calls the crossing the moment it happens. STEREO 3D DANGER PLANE <0.8s CALL
<0.8s
Hard Stop
Takes the signal straight to the PLC and halts the machine - no human in the loop. PLC HARD-STOP ~0.8s STOP INTERLOCK Explore Hard Stop →
HARD STOP · OLDCASTLE APG Only Sentinel stops the line, in real time.
Act before it happens. Hard Stop integrates with existing PLCs and industrial systems to stop machines instantly when high-risk behaviors or conditions are detected.
Play the Hard Stop sequence 1 Unsafe act detected →
2 Signal sent →
3 Machine stops automatically →
4 Team alerted
“Compliance alone won’t save people. We need real-time prevention.”
Bob Malin VP EHS&S, Oldcastle APG
THE SENTINEL FAMILY Depth connects through the Sentinel Hub.
One suite, purpose-built for every hazard on the floor. Explore the devices that work alongside Depth.
All Sentinel devices →
Sentinel Hub Industrial edge AI compute Learn more → Sentinel Hub Pro Flagship edge compute Learn more → Sentinel Thermal Heat + electrical hazards Learn more → Sentinel Core AI safety camera · 50+ detections Learn more → Sentinel Speaker IP horn + intercom Learn more → Sentinel Beacon Floor-level signaling Learn more → Sentinel Solar 4G-solar remote kit Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Hub - edge AI computer for real-time safety | Intenseye

URL: https://www.intenseye.com/products/hardware-sentinel-hub/

SENTINEL HUB The on-site engine for AI safety.
Sentinel Hub is the compact, fanless edge-based GPU hardware that powers Intenseye at your facility. It connects existing cameras and Sentinel devices, processes detections on-site, and supports real-time interventions through PLC integrations without relying on cloud-based video processing.
Book a demo →
WHAT IT DOES The brain between
cameras and machines.
Connects cameras and Sentinel devices
Sentinel Hub connects supported CCTV across 200+ brands with Sentinel devices, helping teams extend AI safety coverage without replacing existing camera infrastructure.
Process detections on-site
Intenseye AI runs locally on GPU-accelerated edge compute, processing video on-site so detections can happen in real time.
Trigger safety interventions
Sentinel Hub connects detections to alerts, spoken warnings, and PLC-enabled machine-stop workflows, helping teams act on hazards the moment they appear.
Industrial edge AI computer
Compute
NVIDIA JETSON
NVIDIA Jetson Orin NX — GPU-accelerated edge AI, every camera processed on-site, in real time.
CONNECTIVITY
Dual NIC
Dual-based NIC to connect to your air-gapped camera network
DESIGNED FOR INDUSTRIAL INTERFACES
Ethernet · PLC
Ethernet-based PLC connections — talks to PLCs, machines, and peripherals for industrial integration.
Power
9–36 V DC
19 V adapter included — panel-friendly input range for edge closets and control panels.
Environment
Fanless · −20–60°C
Sealed industrial build — fanless thermal design ensures reliable operation
SEEMLESS INTEGRATION
Flexible Mounting
Desk, DIN rail, Wall-mounting, VESA — it lives happily in an edge closet or panel to integrate with your existing infrastructure
BUILD & MOUNTING Small footprint. Flexible installation.
Sentinel Hub brings NVIDIA Jetson Orin NX compute into a compact, fanless unit with finned aluminum cooling. Desk, DIN rail, wall, and VESA mounting options give teams flexibility to install it near the camera network, control panel, or other site infrastructure.
YOUR CAMERAS OR OURS One hub for your
cameras and ours.
Sentinel Hub connects supported CCTV and Sentinel devices through one on-site compute layer. It lets teams run Intenseye AI across existing camera infrastructure and purpose-built Sentinel hardware without relying on cloud-based video processing.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB
ON-SITE AI · NO CLOUD ROUND-TRIP
WHAT THE HUB POWERS One box. Every hazard on the floor.
Connect the cameras you already own to a single Hub and switch on the full detection library - no new wiring, no per-camera appliance.
ANONYMIZED · NO FACIAL RECOGNITION
PPE COMPLIANCE 01 / 04
Missing PPE, every entrance.
Hard hats, glasses, gloves, and vests tracked across every camera the Hub connects - by zone and shift.
Uses existing cameras
50+ detections
Per-zone rules
ANONYMIZED · NO FACIAL RECOGNITION
VEHICLE–PEDESTRIAN 02 / 04
Forklift meets person.
Proximity and line-of-fire detection on the aisles and docks your cameras already cover.
Real-time alerts
Blind-corner logic
Evidence clips
ANONYMIZED · NO FACIAL RECOGNITION
ERGONOMICS 03 / 04
The lift that hurts later.
Risky lifts and repetitive motion scored continuously across stations - no wearables, no manual audits.
Pose-aware
Continuous scoring
Objective & consistent
ANONYMIZED · NO FACIAL RECOGNITION
AREA CONTROL 04 / 04
Into the danger zone.
Restricted and line-of-fire zones enforced on every connected feed, day or night.
Custom zones
Day / night
Hard-stop ready
HUB OPTIONS Choose the right
Hub for your site.
Sentinel Hub and Sentinel Hub Pro both run Intenseye AI on site. Use Sentinel Hub for compact deployments and smaller to mid-sized sites. Use Sentinel Hub Pro for dense, large-site coverage with more connected devices and higher compute needs.
THIS DEVICE
Sentinel Hub
NVIDIA Jetson Orin NX · fanless · compact - built for edge closets and smaller-to-mid sites. JETSON ORIN NX FANLESS SMALLER SITES
OR
Sentinel Hub Pro
NVIDIA Jetson Thor · up to 25 devices · built for dense, large sites. JETSON THOR 25 DEVICES DENSE SITES Explore Sentinel Hub Pro →
THE SENTINEL FAMILY Every Sentinel device, one Hub.
One suite, purpose-built for every hazard on the floor. Every device below connects through the Hub.
All Sentinel devices →
Sentinel Core AI safety camera · 50+ detections Learn more → Sentinel Hub Pro Edge AI server · 25 devices Learn more → Sentinel Thermal Heat + electrical hazards Learn more → Sentinel Depth Machine-guarding depth Learn more → Sentinel Speaker IP horn + intercom Learn more → Sentinel Beacon Floor-level signaling Learn more → Sentinel Solar 4G-solar remote kit Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Hub Pro - edge AI server for safety at scale | Intenseye

URL: https://www.intenseye.com/products/hardware-sentinel-hub-pro/

SENTINEL HUB PRO Run real-time safety AI at facility scale.
Sentinel Hub Pro gives large facilities the on-site computing power needed to process Intenseye detections across dense camera and device networks. It connects supported CCTV and Sentinel hardware, keeping AI processing local while extending safety coverage across more areas of the facility.
Book a demo →
WHAT IT DOES One server, built for scale.
Supports more devices from one server
Connect up to 25 Sentinel devices and supported CCTV streams through a single edge server, reducing the amount of hardware teams need to deploy, power, patch, and maintain.
Processes detections on-site, in real time
Sentinel Hub Pro runs Intenseye AI locally on NVIDIA Jetson Thor, processing full video streams on-site so detections can trigger while there is still time to act.
Built for enterprise deployment
With onboard TPM, CE/FCC certification, vibration resistance, and a −10–60°C operating range, Sentinel Hub Pro gives IT and operations teams hardware designed for large-site safety deployments.
Edge AI server
Compute
NVIDIA Jetson Thor
NVIDIA Jetson Thor (FP4), up to 2070 TFLOPS — every camera and model in real time, on-site, no cloud round-trip.
Compact size
2 kg
217 × 76.4 × 184.5 mm (W × D × H) — Sentinel devices and your existing CCTV run from one compact box.
Memory
128 GB
Onboard memory — headroom for more cameras and detections without throttling.
GPU
2560 CUDA cores
2560 NVIDIA® CUDA® cores and 96 5th Gen Tensor cores, MAXN clock up to 1.57 GHz
Certifications
CE · FCC
Onboard hardware security your IT team signs off on.
Environment
−10–60 °C
Operating temperature −10–60°C, vibration-rated — built for the floor.
BUILD & MOUNTING More computing, without the server room.
Sentinel Hub Pro is a compact desktop edge server built for denser AI safety deployments. It fits in a control room or on-site workspace, uses smart fan cooling, and supports 19–36 V power so teams can scale processing capacity without rack-mounted infrastructure.
YOUR CAMERAS OR OURS One server. Every camera you run.
Hub Pro connects Sentinel devices and the CCTV you already own - about 90% of IP cameras, across 200+ brands - and runs Intenseye on all of them, on-site, at scale.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
UP TO 25 DEVICES · ON-SITE AI
WHAT THE HUB PRO POWERS The busiest floors, fully covered.
More cameras, more compute - Hub Pro runs the densest detection workloads across high-traffic plants without dropping a frame.
ANONYMIZED · NO FACIAL RECOGNITION
HIGH-TRAFFIC AISLES 01 / 04
Constant forklift flow.
Tracks dozens of vehicle-pedestrian interactions at once across busy intersections and docks.
More cameras per box
Real-time at scale
Blind-corner logic
ANONYMIZED · NO FACIAL RECOGNITION
AREA CONTROL 02 / 04
Many zones, one box.
Enforces a high count of restricted and line-of-fire zones simultaneously without dropping frames.
High zone density
Sub-second triggers
Hard-stop ready
ANONYMIZED · NO FACIAL RECOGNITION
ERGONOMICS AT SCALE 03 / 04
Every station, every shift.
Continuous ergonomic scoring across many manual stations on the busiest production lines.
Parallel streams
Continuous scoring
Trend by line
ANONYMIZED · NO FACIAL RECOGNITION
LINE OF FIRE 04 / 04
Under every load.
Suspended-load and crane zones watched across large bays where lifts never stop.
Dynamic zones
Many feeds at once
Instant warning
HUB OPTIONS Choose the right
Hub for your site.
Sentinel Hub and Sentinel Hub Pro both run Intenseye AI on site. Use Sentinel Hub for compact deployments and smaller to mid-sized sites. Use Sentinel Hub Pro for dense, large-site coverage with more connected devices and higher compute needs.
THIS DEVICE
Sentinel Hub Pro
NVIDIA Jetson Thor · up to 25 devices · built for dense, large sites. JETSON THOR 25 DEVICES DENSE SITES
OR
Sentinel Hub
NVIDIA Jetson Orin NX · fanless · built for smaller sites and edge closets. JETSON ORIN NX FANLESS SMALLER SITES Explore Sentinel Hub →
THE SENTINEL FAMILY Every Sentinel device, one Hub Pro.
One suite, purpose-built for every hazard on the floor. Every device below connects through Hub Pro.
All Sentinel devices →
Sentinel Core AI safety camera · 50+ detections Learn more → Sentinel Hub Industrial edge AI compute Learn more → Sentinel Thermal Heat + electrical hazards Learn more → Sentinel Depth Machine-guarding depth Learn more → Sentinel Speaker IP horn + intercom Learn more → Sentinel Beacon Floor-level signaling Learn more → Sentinel Solar 4G-solar remote kit Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Solar - 4G camera kit for remote site safety | Intenseye

URL: https://www.intenseye.com/products/hardware-sentinel-solar/

SENTINEL SOLAR COMING SOON Off-grid detection coverage for remote work areas.
Sentinel Solar combines solar power, battery backup, 4G LTE, and camera-based detection in one deployable kit. Use it to extend safety visibility to remote yards, perimeters, and areas beyond your existing power or network infrastructure.
Get early access →
WHAT IT DOES Bring remote zones into view.
Cover remote zones
Bring Intenseye detection to remote yards, perimeters, laydown areas, and staging zones where wired cameras are difficult or costly to install.
Deploy without trenching
Use solar power, battery backup, and 4G LTE connectivity to add coverage without power runs, network drops, or new cabling.
Stay online in exposed areas
With up to 17 days of standby battery and weather-ready hardware, Sentinel Solar helps keep remote coverage active through changing site conditions.
4G-solar remote kit · Coming soon
Power
17 days
100 W solar with two battery options (555 / 962 Wh) — up to 17 days standby rides out the cloudy stretches.
Connectivity
4G LTE
Cellular backhaul, no site network needed — and built-in GPS always knows where it stands.
Solar
100 W
Monocrystalline panel — off-grid coverage with no mains, no trenching, no wiring.
Camera
4 MP
120 dB WDR and IR to 20 m — human and vehicle detection: intrusion, line-crossing, tamper.
Build
IP67 · IP65
Camera IP67, solar system IP65 — galvanized steel, pole or wall mount, −20–60°C.
Storage
microSD · 1 TB
Local buffer for the moments cellular drops — backhauls to Intenseye over 4G.
BUILD & MOUNTING Built for pole-mounted, off-grid coverage.
One pole supports the full Sentinel Solar system, including the solar panel, battery system, and camera. With weather-rated hardware and no required power or network cabling, it is designed for remote zones that need fast, practical coverage.
YOUR CAMERAS OR OURS Coverage past the last power drop.
Solar is the purpose-built kit for the zones neither your cameras nor power reach - it extends Intenseye to the edge of the site over 4G, while everything else connects through the Sentinel Hub.
SENTINEL
YOUR CCTV
Solar
Core
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
SOLAR IN ACTION Detection coverage, wherever the risk is.
Sentinel Solar brings AI safety detection to off-grid yards, perimeters, remote staging areas, and other zones beyond existing power or network infrastructure.
ANONYMIZED · NO FACIAL RECOGNITION
PERIMETER & LAYDOWN 01 / 04
Eyes on the far fence.
Perimeters, laydown yards, and off-grid zones covered from a pole that powers itself - intrusion flagged in real time.
Solar + battery powered
LTE backhaul
Intrusion rules
ANONYMIZED · NO FACIAL RECOGNITION
YARD TRAFFIC 02 / 04
Where yard meets worker.
Vehicle-pedestrian conflicts in open yards and gate areas, watched from a mast that runs itself.
Wide outdoor FOV
Proximity alerts
Day / night
ANONYMIZED · NO FACIAL RECOGNITION
OUTDOOR LIFTS 03 / 04
Lifts beyond the building.
Crane and load zones in outdoor staging areas - covered where running power was never an option.
Off-grid deployment
Line-of-fire zones
Rapid relocation
ANONYMIZED · NO FACIAL RECOGNITION
GATE & ROUTE CONTROL 04 / 04
Traffic at the edge of site.
One-way routes, gate approaches, and haul roads monitored at the boundary of the site.
Direction logic
Boundary coverage
Self-powered
THE SENTINEL FAMILY Solar extends the family off-grid.
One suite, purpose-built for every hazard on the floor. Explore the devices that work alongside Solar.
All Sentinel devices →
Sentinel Hub Industrial edge AI compute Learn more → Sentinel Hub Pro Flagship edge compute Learn more → Sentinel Thermal Heat + electrical hazards Learn more → Sentinel Core AI safety camera · 50+ detections Learn more → Sentinel Depth Machine-guarding depth Learn more → Sentinel Beacon Floor-level signaling Learn more → Sentinel Speaker IP horn + intercom Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Speaker - IP horn for hazard warnings | Intenseye

URL: https://www.intenseye.com/products/hardware-sentinel-speaker/

SENTINEL SPEAKER Audio intervention for high-risk work areas.
Sentinel Speaker delivers instant spoken warnings when Intenseye detects a hazard, right where the work is happening. Built for loud, demanding environments, it helps teams cut through machinery noise and intervene in real time, indoors or out.
Book a demo →
WHAT IT DOES The voice of your
safety system.
Warn workers in real time
When Intenseye detects a hazard, Sentinel Speaker delivers a spoken warning directly in the work area, helping workers react while there is still time to step back, slow down, or correct the behavior.
Cut through machinery noise
Up to 120 dB of output carries the warning over running equipment, so the message reaches the people in the area rather than getting lost in the background of a working floor.
Pair warnings with machine stops
Sentinel Speaker handles the audio warning while Hard Stop handles machine intervention, giving teams a combined response for hazards that require both worker alerting and equipment control.
IP horn speaker
Models
SS-15 · SS-30
15 W or 30 W — pick by space size, same triggers on both.
Audio
120 dB
Up to 120 dB at 30 W (113 dB on the SS-15) — cuts through machinery so the warning lands the instant it’s needed.
Coverage
Zone by zone
Directional horn output aimed at the work area — the warning lands where the hazard is, not across the whole plant.
Network
SIP · ONVIF
HTTP and RTSP too — two SIP accounts and RTP multicast for floor-wide announcements. Drops into your network.
Power & build
PoE · IP66
Or DC 12 / 24 V — waterproof ABS housing, wall-mounted, −30–60°C, indoor lines or outdoor yards.
Trigger
Any detection
Fires via the Sentinel Hub on any Intenseye detection, plus a hardwired alarm input for event-based triggering
BUILD & MOUNTING Built to be heard, simple to install.
Sentinel Speaker is a wall-mounted IP horn available in 15 W and 30 W models, giving teams the right audio output for different work areas. With IP66 protection and PoE or DC power options, it’s designed for straightforward installation across production lines, yards, and high-noise environments.
YOUR CAMERAS OR OURS Add spoken warnings
to any detection.
Sentinel Speaker connects through Sentinel Hub to trigger spoken warnings from detections across Sentinel devices or supported existing CCTV. Place it near docks, production cells, vehicle paths, restricted areas, and other high-risk zones where workers need to hear the alert in the moment.
SENTINEL
YOUR CCTV
Beacon
Speaker
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
SPEAKER IN ACTION Four moments the floor hears about.
The instant a hazard appears, a clear spoken warning plays in the zone - coaching in the second it actually matters.
ANONYMIZED · NO FACIAL RECOGNITION
RESTRICTED ZONE 01 / 04
Spoken warning, on entry.
The moment someone steps into a restricted zone, a clear voice message plays - a verbal nudge in real time.
Custom voice messages
Per-zone triggers
Logged with evidence
ANONYMIZED · NO FACIAL RECOGNITION
FORKLIFT–PEDESTRIAN 02 / 04
Heard over the engine.
An audible horn and message warns both driver and pedestrian when paths converge - louder than the floor.
Directional audio
Dual warning
Real-time trigger
ANONYMIZED · NO FACIAL RECOGNITION
PPE REMINDER 03 / 04
A nudge, not a write-up.
Missing PPE triggers a friendly spoken reminder at the zone entrance before the task ever starts.
Voice reminders
Entry-point coverage
Anonymous by design
ANONYMIZED · NO FACIAL RECOGNITION
UNSAFE ACT 04 / 04
Stop, in plain words.
Climbing or other high-risk acts trigger an immediate verbal stop message while the supervisor is alerted.
Instant verbal stop
Supervisor alert
Event logged
THE SENTINEL FAMILY Part of a connected safety system.
Sentinel Speaker works alongside Sentinel Hub, AI cameras, thermal detection, traffic monitoring, remote kits, and machine-stop controls to turn detections into the right on-site response. Explore the devices that help extend intervention across high-risk zones.
All Sentinel devices →
Sentinel Hub Industrial edge AI compute Learn more → Sentinel Hub Pro Flagship edge compute Learn more → Sentinel Thermal Heat + electrical hazards Learn more → Sentinel Core AI safety camera · 50+ detections Learn more → Sentinel Depth Machine-guarding depth Learn more → Sentinel Beacon Floor-level signaling Learn more → Sentinel Solar 4G-solar remote kit Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Sentinel Thermal - fire & cold-chain temperature monitoring

URL: https://www.intenseye.com/products/hardware-sentinel-thermal/

SENTINEL THERMAL See temperature risk before it escalates.
Sentinel Thermal pairs thermal and optical sensing to measure real temperature in real time — from overheating equipment and early fire indicators to cold-chain excursions. Built for risks standard cameras can’t capture, it helps teams act before temperature turns into failure, spoilage, or ignition.
Book a demo →
WHAT IT DOES Detect the temperature risk that standard cameras miss.
Detects overheating before failure
Monitor motors, bearings, electrical panels, and other critical assets for abnormal temperature changes before they lead to failure, smoke, or ignition.
Identifies early fire indicators
Detect heat, smoke, and fire indicators at distance, giving teams earlier warning before a small issue becomes a larger incident.
Sees through difficult conditions
Thermal sensing helps detect risk in darkness, smoke, glare, and other conditions where standard cameras can lose visibility.
Dual sensor · thermal + optical
Sensors
Dual · thermal + optical
Thermal microbolometer plus an optical CMOS - a heat map alongside the visual image, so you see the hotspot and what's causing it.
Temperature
−20–150 °C
Real temperature at ±2°C, from −20°C up - point, line, and polygon rules across up to 20 zones. Flags cold-chain excursions as readily as overheating.
Early fire
417 m
Catches a 1×1 m fire spot, smoke, and flame at up to 417 m - ahead of a conventional alarm.
Sensitivity
<50 mK
NETD sensitivity across 8–14 μm - faint, early hotspots register long before anything glows.
Onboard AI
Fire + temp + VCA
Intrusion, line-crossing, loitering - person and vehicle triggered, on-camera.
Build & power
IP66 · PoE
Sunshield and junction box, −40–60°C; PoE 802.3af, DC 12 V, or AC 24 V - one cable does it.
BUILD & MOUNTING Built for outdoor temperature detection.
Sentinel Thermal uses a cylindrical bullet design with a sunshield and junction-box mount for outdoor installation. With IP66 protection, a −40°C to 60°C operating range, and PoE, DC, or AC power options, it is built to monitor temperature-related risks across exposed work areas.
YOUR CAMERAS OR OURS Add temperature detection to your camera network.
Sentinel Thermal connects through Sentinel Hub alongside your existing CCTV, adding temperature-based detection where heat, electrical, or fire risk needs dedicated monitoring.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB
ON-SITE AI
THERMAL IN ACTION Five risks only thermal reveals.
From a warm bearing to a broken cold chain - measured, flagged, and alerted before it escalates.
ANONYMIZED · NO FACIAL RECOGNITION
COLD-CHAIN & TEMPERATURE COMPLIANCE 01 / 05
The excursion, before the spoilage.
Refrigerated rooms, freezers, and temperature-controlled storage watched continuously - a drift above the safe band fires the alert before product is lost.
Measures real temperature from −20°C up
Low- and high-threshold alarms
Auditable temperature trend log
ANONYMIZED · NO FACIAL RECOGNITION
OVERHEATING EQUIPMENT & PANELS 02 / 05
The hotspot, before the fault.
Point, line, and polygon rules watch motors, bearings, and electrical panels - a rising trend or crossed threshold fires the alert.
Up to 20 measurement rules
Threshold · rise · difference alarms
±2°C real temperature
ANONYMIZED · NO FACIAL RECOGNITION
EARLY FIRE & SMOKE 03 / 05
Minutes ahead of the alarm.
Storage, warehouses, battery and charging areas - fire spots and smoke caught at distance, while it’s still one extinguisher’s worth of problem.
Fire spot · smoking · flame
1×1 m fire at 417 m
White-light strobe deterrent
ANONYMIZED · NO FACIAL RECOGNITION
HOT-WORK & THERMAL HAZARDS 04 / 05
Eyes on the work that burns.
Welding, cutting, and grinding zones watched during and after the shift - lingering heat flagged before it finds fuel.
Section temperature alarms
Post-work cool-down watch
DI/DO to sirens & strobes
ANONYMIZED · NO FACIAL RECOGNITION
LOW / ZERO-LIGHT AREAS 05 / 05
Darkness isn’t a blind spot.
Perimeters and areas with no lighting - thermal VCA detects people and vehicles in total darkness, smoke, or glare.
Human at 65 m · vehicle at 144 m
Intrusion · line-crossing · loiter
Works through smoke & glare
THE SENTINEL FAMILY Thermal connects through the Sentinel Hub.
One suite, purpose-built for every hazard on the floor. Explore the devices that work alongside Thermal.
All Sentinel devices →
Sentinel Hub Industrial edge AI compute Learn more → Sentinel Hub Pro Flagship edge compute Learn more → Sentinel Solar 4G-solar remote kit · soon Learn more → Sentinel Core AI safety camera · 50+ detections Learn more → Sentinel Depth Machine-guarding depth Learn more → Sentinel Beacon Floor-level signaling Learn more → Sentinel Speaker IP horn + intercom Learn more → Sentinel Control PLC hard-stop panel Learn more →
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Intenseye Actions - corrective-action workflows & coaching

URL: https://www.intenseye.com/products/software-actions/

ACTIONS
From detected hazard to verified closure.
Intenseye Actions turns high-risk detections into trackable tasks that are assigned, routed, and verified. Teams can close the loop faster, capture proof of resolution, and use each fix to improve safety performance across the operation.
Book a demo →
Actions Analytics Tasks Emails Teams Coaching
To do 2
Medium Compliance TASK-0006
Reflective Vest Compliance - Night Shift
Aug 12 · Bellville
Medium Compliance TASK-0008
Ergonomics REBA Assessment - Packaging Line
Aug 12 · Bellville
In progress 4
Critical pSIF TASK-4417
Separate forklift & pedestrian lanes - Aisle 7
Due Fri · Bellville
High pSIF TASK-0007
Collision Risk Zone - Aluminum Coil Storage
Aug 12 · Salisbury
Separate forklift & pedestrian lanes - Aisle 7
CRITICAL · pSIF MA Assigned to M. Alvarez · Ops Due Fri
Created from alert · Jul 29, 2026, 5:56 AM
LIVE · AISLE 7 · CAM 12
1
Detected
2
Assigned
3
In progress
4
Verified
ACTIONS Share Email Coaching Toolbox Talk
✓ VERIFIED CLOSED - camera confirmed the pedestrian lane is clear
THE SHORT ANSWER What is Intenseye Actions?
It's the corrective-action layer of the platform: every detection can become an assigned task with an owner, a due date, and the clip attached - routed to Microsoft Teams, email, or Google Chat , tracked to closure, and verified by the camera . Coaching changes behavior without blame and the actions that work become best practices that scale across your sites.
TASK CREATION & ROUTING Route every hazard to the right team.
When Intenseye detects a hazard, Actions turns it into one assigned task with the clip, owner, due date, and routing already attached. Frontline leaders, EHS, and operations teams see the same work item in the tools they already use, so nothing gets re-keyed, duplicated, or lost between shifts.
One source of truth Every routed alert points back to the same task, clip, status, and update history.
Routed by zone, shift, and severity Send hazards to the right team automatically based on where, when, and how serious the risk is.
Works in your existing tools Push tasks and updates into Microsoft Teams, email, Google Chat, EHS systems, and BI tools through Connect.
Routing · Task #ACT-4417 Fan-out
ASSIGNED TASK Forklift–pedestrian proximity AISLE 7 · CRITICAL · CLIP
Microsoft Teams Shift-lead channel
Email EHS manager
Google Chat Ops room
EHS system via Connect
BI / Power BI via Connect
COACHING · THE FEATURE TEAMS LOVE Turn recurring risk into coaching that works.
Actions turns repeated safety patterns into guided coaching moments, giving frontline leaders the trend, context, and talking points they need to change behavior. The focus stays on safer work, not individual surveillance, discipline, or blame.
Shift-ready talking points Give leaders simple coaching prompts that explain what happened, why it matters, and what good looks like.
Anonymized patterns Use trends to identify recurring risk without naming, tracking, or surveilling individual workers.
Coaching, not policing Help teams reduce unsafe behaviors through trust-building conversations, not punitive measures.
Unsafe-act rate · Dock 2
Coaching started
Week 1 Coaching Week 8
−48.7%
unsafe acts after one coaching loop
0
individuals named or disciplined
TOOLBOX TALKS & COLLABORATION Keep the clip, conversation, and fix in one place.
Every detection opens a Toolbox Talk thread where supervisors, EHS, operations, and frontline teams can review the clip, discuss what happened, assign follow-up, and share updates to Teams or email. The full record stays tied to the original event, so everyone works from the same context.
Threaded discussion The crew talks it through - captured against the hazard.
Act from the thread Create a task, email, or share to Teams in one place.
Roles & accountability Who said what, who owns what - on the record.
Tied to the event The clip and the conversation stay together.
Toolbox Talk 10 COMMENTS
1 Task 1 Email 1 Teams Share 10 Comments
APR 26
Mike Reynolds created a task · Restripe staging zone
View task →
APR 28
MR Mike Reynolds Site Management 2 months ago
Completed the access-point audit across Dock 2. Found 5 spots where the crew routinely crosses the forklift lane on nights - most between 02:00 and 04:00 as staging creeps in.
APR 30
KT Karen Thompson Shift Leader a month ago
Agreed - we'll repaint the walkway and reset staging at shift change. I'll brief the night crew with the clip in tomorrow's toolbox talk.
Shared to Microsoft Teams · #dock-2-safety
Join the discussion… Send
ADVANCED REASONING Know what could go wrong before the work even begins.
Intenseye uses NVIDIA Cosmos to understand the scene, surface potential serious-injury risks, recommend the next action, and generate an expert Job Safety Analysis for review. Teams can act ahead of the risk instead of starting from a blank write-up.
LIVE · PHOENIX-CAM-04 CLIMBING · pSIF NVIDIA Cosmos REASON2-8B
SCENE SUMMARY
A worker on a ladder is climbing against a large machine, ringed by yellow safety railings - a controlled but high-risk task at height.
HAZARDS
Fall from height 20
Likelihood 4/5 · Severity 5/5
Collision with machinery 12
Likelihood 3/5 · Severity 4/5
pSIF PREDICTION
45% Worker falls from the ladder - severe injury or fatality
30% Struck by or collides with the large machine
20% Entangled in rotating machinery
Powered by NVIDIA Cosmos Reason2-8B · auto-generates the JSA your team approves
Predict potential SIFs Act before the incident, not after.
Recommended actions The right next step, from the scene.
Auto-generated expert JSAs Your team reviews instead of authoring.
THE LOOP It's called Actions because it never stops at the alert.
Every detection runs the same loop - from the moment Prevent sees it to the proof the fix is working. Watch it run, or tap any stage.
Prevent detects","t":"Prevent sees it the moment it happens.","p":"Real-time AI catches the hazard on the cameras you already run - the event that starts the whole loop.","hot":"prevent","name":"Detect"},{"k":"2. Hard Stop intervenes","t":"One tap to an owned, dated task.","p":"The alert becomes an assigned task with an owner, a due date, and the clip - routed to Teams, email, or Google Chat.","hot":"actions","name":"Act"},{"k":"3. Actions closes the loop","t":"Repeat patterns become coaching, not blame.","p":"Anonymized trends turn into guided talking points so frontline leaders can change behavior - no individual is named.","hot":"actions","name":"Coach"},{"k":"4. Insights proves it","t":"Impact lands on the Safety Score.","p":"Every closed loop is verified by the camera and stamped on the trend - Safety Score up, pSIF exposures down, proof you can show.","hot":"insights","name":"Track impact"}]"> STEP 1 / 4
Detect
Detect Act Coach Track impact
1. Prevent detects
Prevent sees it the moment it happens.
Real-time AI catches the hazard on the cameras you already run - the event that starts the whole loop.
Prevent Hard Stop Actions Insights
ONE CONNECTED PLATFORM Prevent sees it. Actions closes the loop.
Every detection becomes an owned, verified fix - one source of truth, not seven tools.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
You are here
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Actions LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
YOUR CAMERAS OR OURS Runs on the CCTV you already own.
No rip-and-replace. Add Sentinel devices only where a normal camera can't see - low light, heat, depth, or outdoor.
Processed on-site Anonymized · no facial recognition
Explore Sentinel hardware →
Low light Sentinel Core Indoor AI dome Heat Sentinel Thermal Overheat & fire Depth Sentinel Depth 3D proximity Outdoor Sentinel Solar Vehicle–pedestrian
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
How does Actions work?
Any detection becomes an owned, dated task with the clip attached, routed to Microsoft Teams, email, or Google Chat, tracked to closure, and verified by the camera - a fix that recurs reopens itself.
Which tools can I route alerts to?
Microsoft Teams, email, and Google Chat out of the box - plus your EHS and BI systems via Connect. The right people see the same hazard where they already work, and no one re-keys anything.
Is coaching punitive? Do you surveil individuals?
No. Coaching uses anonymized patterns and guided talking points - no punitive measures and no individual surveillance. People are never identified; the goal is changed behavior and trust, not write-ups.
What's an auto-generated JSA?
An expert Job Safety Analysis that Intenseye drafts from the event using NVIDIA Cosmos, so your team reviews and approves instead of writing it from scratch.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Intenseye Chief - AI safety assistant (SafetyGPT) | Intenseye

URL: https://www.intenseye.com/products/software-chief/

CHIEF · YOUR AI SAFETY CHIEF-OF-STAFF
Your built-in AI agent for safety operations.
Chief helps safety teams work across the Intenseye platform through a network of EHS-trained agents. Ask a question, generate a report, investigate a trend, or build a coaching plan, and Chief pulls from your safety data to return cited answers, native charts, and recommended next steps.
Book a demo →
Ask Chief about your floor
Why did line-of-fire spike on nights? Draft my board deck Build a coaching plan
ASK CHIEF A smarter way to work with your safety data.
Ask a question in plain language and Chief pulls from your Intenseye data to explain what changed, where it happened, and what to do next.
9 specialist agents Native charts, not text Cited on every answer
The conversation
1 Safety Analyst Ask your data 2 Upload Bring your own data 3 Safety Analyst Find the patterns 4 Coaching Coach the crew 5 Reports Draft the deck 6 Automation Schedule it
Live · Plant 04
Why did line-of-fire spike on night shift this week?
Safety Analyst Night shift moved staging into the forklift lane Tuesday . 11 of 14 line-of-fire events hit 2:00–4:00 am at Dock 2 - the same three-pallet bottleneck each night. Line-of-fire events · by hour
18:00 02:00–04:00 06:00
14 events cited 2:14 am clip 3:36 am clip +12 more
Q3_incident_log.xlsx Where do our recorded incidents and Intenseye's detections disagree?
Analyzed your upload Your log shows 3 line-of-fire incidents in Q3. Intenseye flagged 412 line-of-fire near-misses in the same zones - the leading signal your manual log misses. Q3 · your log vs Intenseye · same zones
3
Manual log
412
Intenseye detected
✓ Upload parsed 3 sources joined
What's driving our recordables - and what should we fix first?
Safety Analyst · your data scientist Three patterns explain most of your recordables. Highest-ROI first move: restripe and re-time Dock 2 staging . Contribution to recordables
Night-shift staging creep 41%
Dock 2 forklift–pedestrian 29%
Line 3 PPE on changeovers 19%
1 Restripe + re-time Dock 2 staging
2 Add a spotter on night changeovers
3 PPE prompt at Line 3 changeover
89% confidence 3 months analyzed
Build a coaching plan and a toolbox talk for the night crew on line-of-fire.
Coaching Here's a 10-minute toolbox talk and a 2-week coaching plan , built from your leading and lagging indicators and this quarter's priorities - anonymized, no individuals named. Line-of-fire · night crew
10-min toolbox talk · 2-week plan
✓ Anonymized No individuals named From Q4 priorities
Draft my quarterly board deck for Plant 04.
Reports & presentations Done - a 6-slide QBR with your Safety Score trend, pSIF burn-down, and top initiatives, as native charts you can edit. QBR · Plant 04 · 6 slides
Safety Score
pSIF burn-down
Top initiatives
Native charts ✓ Editable Export PPTX
Every Monday at 7:00 am, brief me on last week's top risks and open pSIFs.
Scheduled workflow Scheduled. Every Monday 7:00 am you'll get last week's top risks, open pSIFs, and what changed - delivered to email and Microsoft Teams. Mondays · 7:00 am Top risks · open pSIFs · what changed Email Teams
✓ Active Editable anytime
Ask a follow-up
A TEAM OF AGENTS Not a chatbot, a coordinated team of safety agents.
Ask once and Chief routes the request to the right specialist agent, then brings the answer back in one place. Each agent is built for a specific safety workflow, from analyzing trends and recommending next steps to generating coaching plans and reports.
1 ask, the right specialist Anonymized coaching + more shipping continuously
CHIEF
Safety Analyst Coach Writer Presenter Configurator Image Editor Lean Analyst Six Sigma Analyst Ergonomics Analyst
Safety Analyst Analyzes safety scores, pSIF trends, alert patterns, compliance, and ergonomics — and generates intelligence reports. Active Coach Creates coaching sessions, task descriptions, and impact summaries. Writer Drafts emails, Teams messages, and executive summaries. Presenter Builds executive-quality slide decks and PowerPoint reports. Configurator Configures safety detection use cases and templates. Image Editor Edits camera snapshots with AI — draws walkways, places equipment, and proposes layout changes. Lean Analyst Applies Lean thinking (5S / waste elimination) to facility data and camera views. Six Sigma Analyst DMAIC-driven variance reduction across facility data, with visual improvements on camera views. Ergonomics Analyst Score-grounded REBA/RULA postural assessment with anchored workstation and tool-change recommendations.
BUILT ON YOUR DATA — AND YOUR STACK Built on the data your team already trusts.
Chief works from your Intenseye data, uploaded documents, and connected systems, giving every specialist agent the context to answer with evidence, charts, and usable next steps.
Built on Intenseye data Chief uses the safety data already captured in Intenseye, including detections, events, clips, Safety Score, pSIF exposure, trends, and site-level performance.
Add the context behind the numbers Upload reports, spreadsheets, JSAs, incident logs, and other program documents so Chief can analyze them alongside platform data.
Outputs your team can use Get cited answers, native charts, report-ready summaries, coaching prompts, and recommended next steps that can move directly into the work.
Your sources → Chief
Intenseye data Events · clips · trends
Your uploads Reports · sheets · JSAs
Integrations EHS · BI · your stack
Safety Analyst Your Safety Score is up +18 this quarter, joining your uploaded incident log with live detections - pSIF exposures down across all three shifts. Safety Score · 12 weeks · all sources
Wk 1 Wk 6 Wk 12
Drop into a report ✓ Editable chart
ONE CONNECTED PLATFORM One question. One source of truth.
Chief sits across the whole platform - ask it about a Prevent detection, an Actions task, or an Insights trend, and it answers from one source of truth.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
You are here
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Chief LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
What is Intenseye Chief?
An EHS-trained AI safety assistant (SafetyGPT) that answers questions from your safety data, drafts reports, and runs specialist agents.
Does it use only our data?
Yes - Chief works on your data; models are never shared across customers.
Can I upload my own reports, spreadsheets, or JSAs?
Yes - upload them and interact with them alongside your Intenseye data.
What agents does Chief include?
Nine specialist agents today - Safety Analyst, Coach, Writer, Presenter, Configurator, Image Editor, Lean Analyst, Six Sigma Analyst, and Ergonomics Analyst - plus scheduled workflows, with more shipping continuously.
Is there a free trial?
Book a demo - Chief ships as part of the Intenseye platform, and the fastest way to try it is to see it answer questions on real safety data, live.
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Intenseye Connect - integrate safety data with EHS, BI & OT

URL: https://www.intenseye.com/products/software-connect/

MODBUS
MQTT
Ethernet/IP
Google Workspace
Google Chat
Entra ID
Tableau
ServiceNow
Cority
Sphera
SafetyCulture
Webhooks
Visual Signals
VelocityEHS
ADFS
Benchmark
SAML 2.0
Enablon
Displays
PLC I/O
Power Automate
Splunk
Azure IoT
Genetec
Power BI Analytics
Microsoft Teams Collaboration
Okta Identity
Slack Collaboration
Intelex EHS records
Sentinel Speaker On-site
OPC UA Industrial
{} REST API Open platform
CONNECT Connect to the systems you already run.
Intenseye integrates with your EHS, OT, IT, collaboration, and analytics stack so real-time safety intelligence lands where your teams already work. Route alerts, incidents, corrective actions, and risk trends automatically, without duplicate entry or replacing your existing systems.
Book a demo →
THE SHORT ANSWER What is Intenseye Connect?
The integration layer of the platform. It routes real-time alerts , incidents, corrective actions, and risk trends into the EHS, OT, IT, collaboration, and analytics systems your teams already run - no duplicate entry, no rip-and-replace. The same intelligence from your cameras, delivered where work actually happens.
WHAT CONNECTS AND WHY Eight ways Intenseye fits how you already work.
Connect isn't a list of logos. Each category does a specific job for your team - from stopping a machine to briefing a board. Here's what each one delivers, and what it links to.
Industrial EHS records Alerts Identity Analytics Signage On-site Open API
Industrial connectivity
When a hazard appears, the machine should already be stopping.
Connect speaks the protocols your floor already runs - MODBUS TCP, OPC UA, MQTT, Ethernet/IP - so a detection can trip a relay, slow a line, or trigger a hard stop with no human in the loop. Prevention at machine speed, not meeting speed.
MODBUS TCP OPC UA MQTT Ethernet/IP HTTP/HTTPS PLC I/O Modules
EHS systems of record
Every observation, logged where your team already works.
Detections flow straight into your EHS system of record as structured observations and incidents - no double entry, no copy-paste from a dashboard. Your SIF-prevention data lives where audits, corrective actions, and trends already live.
Intelex Enablon Cority Sphera Benchmark Gensuite VelocityEHS ServiceNow EHS SafetyCulture
Collaboration & alerts
The right person sees the risk in seconds - not at end of shift.
Route alerts to the Teams, Slack, or Google Chat channels your supervisors already watch. Severity-based rules decide who gets pinged, so a near-miss quietly notifies and a pSIF escalates to everyone who needs to act.
Microsoft Teams Google Chat Slack
Entra ID
Okta
Google Workspace
ADFS
SAML 2.0
Single sign-on
Live Warehouse manager
Live Security specialist
Live Floor worker
Identity & access
One login, and exactly the access each role should have.
Provision users through the identity provider you already manage - Entra ID, Okta, Google Workspace, ADFS, SAML 2.0. Role-based access maps to your org chart, and offboarding happens the moment IT disables the account.
Microsoft Entra ID Okta Google Workspace ADFS SAML 2.0
Safety report
New alert
Facility Nebraska, Auto Assembly
Hazard Contact with machinery
Camera Stamping Press Area 3
Severity High
Business intelligence & analytics
Your full safety dataset, in the tools your analysts trust.
Stream every detection, zone, and trend into Power BI or Tableau over standard OData feeds. Build the board-level safety reporting you need across every facility - without exporting a single spreadsheet.
Microsoft Power BI Tableau
Digital safety signage
Make the safe state visible on the floor.
Push live safety scores, days-since-incident, and active-zone status to screens across the facility. Workers see how their area is performing in real time - not in a report that lands weeks later.
Intenseye TV ScreenCloud Enterprise Signage Networked Displays
SENTINEL SPEAKER · LIVE ANNOUNCEMENT
“Quick safety check in Zone 4”
On-site notifications
A warning at the point of risk, the instant it appears.
Trigger Sentinel speakers and visual signals exactly where a hazard is detected - a spoken warning, a strobe, a horn. The intervention reaches the worker before the incident does, with no one waiting on a phone.
Sentinel Speaker Visual Signals
Open platform & automation
Connect Intenseye to any system with an API.
Intenseye's REST API and webhook infrastructure make it easy to send detections, pull safety data, and automate actions across the systems your teams already use. Route safety intelligence into the tools that need it, from EHS platforms and analytics dashboards to collaboration, IT, and OT systems.
{} REST APIs Webhooks
INTENSEYE TV Your facility's safety pulse, on the wall.
Intenseye TV brings your safety performance out of dashboards and into the places where it matters most - the shop floor, the control room, the warehouse entrance. It's a dedicated, always-on display that shows live compliance data for any safety rule you've configured in the Intenseye platform.
No app to install
No extra hardware - just a screen and a small PC
Open a browser, log in - your safety pulse is on the wall
WHAT'S ON SCREEN
Latest alert snapshot
The most recent safety detection, complete with AI-generated visual overlays so anyone walking by understands exactly what happened.
Daily compliance summary
A clear, color-coded bar chart showing how many compliant vs. non-compliant events were detected today. Green for safe. Red for at-risk. No interpretation needed.
Live system status
A real-time clock and last-sync timestamp so your team always knows the data is current.
Location & use case header
Shows the exact site, area, camera, and safety rule being monitored - ensuring full transparency at a glance.
ONE CONNECTED PLATFORM Prevent detects. Actions assigns. Connect routes it. Insights proves it.
Connect is the routing layer - every product reads and writes the same events, now flowing into the tools your teams already run.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
You are here
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Connect LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
SECURE BY DESIGN Keep safety data in your control.
Intenseye processes video on-site and sends only approved safety events to your systems. Raw footage and worker identities stay inside your environment.
Processed on-site
Cameras and detection run on edge hardware inside your facility. Raw video never leaves your network.
Only events cross the line
Connect sends structured events - zone, severity, timestamp. Never footage, never identities.
Governed by your IdP
Access maps to Entra ID, Okta, or your provider - role-based, with instant offboarding.
No new silo to own
Connect writes into platforms you already license - nothing new to host or maintain.
SOC 2 Type II Audited GDPR Compliant AI Ethics Lab Member
FAQ Your questions, answered.
Built for EHS, operations, and IT leaders. Still have a question?
Talk to our team →
What does Intenseye integrate with?
32 integrations across 8 categories - OT/PLC protocols, EHS systems, collaboration tools, identity providers, BI, signage, on-site notifications, and an open API.
Do you support our PLC protocol?
MODBUS TCP, OPC UA, MQTT, Ethernet/IP, and more.
SSO and user management?
Yes - Entra ID, Okta, Google Workspace, ADFS, SAML 2.0.
Can we pull data into Power BI / Tableau?
Yes - your full dataset via standard OData feeds.
Is there an open API?
Yes - REST APIs and webhooks.
CONNECT YOUR STACK See how Intenseye connects to your existing systems.
Meet with our team to explore how Intenseye can route safety intelligence into your EHS, OT, IT, collaboration, and analytics tools without duplicate entry or disruption to your existing systems.
Book a demo →
Book a demo →

### EHS Suite: One platform for all your EHS workflows | Intenseye

URL: https://www.intenseye.com/products/software-ehs-suite/

EHS SUITE
Smarter EHS Management with AI-driven insights
Bring all your EHS workflows together in one platform. Intenseye’s EHS Suite automates reporting, simplifies compliance, and gives teams real-time insight to identify risks early and prevent incidents before they happen.
Schedule a demo →
EHS Suite Inspections Incidents Audits Actions
Open 2
Medium Inspection INS0001
Housekeeping Inspection
Aug 12 · Workshop
Medium Audit AUD0003
Working at Height Inspection
Aug 12 · Workshop
In progress 4
Critical pSIF ACT0007
Correct LOTO procedure gaps
Due Fri · Workshop
High Incident INC0002
Near Miss Report - Loading Dock
Aug 12 · Workshop
Correct LOTO procedure gaps
CRITICAL EM Assigned to EHS Manager Due Fri
Created from audit finding · Monthly Audit
FINDING · MONTHLY AUDIT
1
Reported
2
Assigned
3
In progress
4
Closed
ACTIONS Share Email Assign Export
✓ CLOSED - corrective action verified
THE SHORT ANSWER What is EHS Suite?
Intenseye’s EHS Suite brings all your EHS workflows together in one platform - it automates reporting, simplifies compliance, and gives teams real-time insights into safety risks .
ACTION MANAGEMENT From hazard detection to resolution
Instant action creation
Turn AI-detected hazards, inspection findings, and reports into corrective actions with one click. Assign owners, set deadlines, and track progress in one platform.
Collaborative Accountability
Keep teams aligned from start to finish. Use toolbox talks for quick discussions, share images and notes, and track every action in real time for clear accountability.
Measure what matters
Once actions are complete, AI measures their impact with post-action insights that track fewer alerts, stronger compliance, and higher safety scores.
STREAMLINED INSPECTIONS AI-powered efficiency for smarter inspections
Custom checklists for every need
Use templates from Intenseye’s library, create your own, or let Chief generate checklists from your site data for accurate, efficient inspections.
Automate scheduling & track progress
Easily assign inspections, set schedules, and track progress from start to finish with full visibility into details, checklists, and follow-up actions.
Inspections on-the-go
Stay connected with our mobile app. Conduct faster evaluations using preloaded checklists and share results in real time.
Act fast with real-time insights
Turn findings into immediate tasks to address hazards and prevent recurring issues with actionable corrective measures.
Inspection scheduler SCHEDULED
1 Template
Forklift pre-shift Checklist · 12 questions
Housekeeping walk Checklist · 9 questions
LOTO audit Audit · OSHA 1910.147
2 Assignee
Floor leads Frontline supervisors
EHS Manager Site role
Maintenance team On shift
3 Cadence
Each shift At every changeover
Weekly Mondays · 09:00
Monthly 1st of month
Schedule Forklift pre-shift → Floor leads → Each shift Scheduled · delivered via Microsoft Teams
Online
Generate an inspection checklist for the packaging line
Chief · Inspection Agent Here is a draft checklist built from your packaging-line site data. Review it, adjust the sections, and publish it to the mobile app: Packaging Line Inspection
Draft · 12 questions · 4 sections
Chemicals All sections All cameras
ADVANCED SAFETY & INCIDENT MANAGEMENT Transform every safety event into insight and action
Built for high-risk industries
From manufacturing and retail to energy and logistics, Intenseye helps safety teams manage every type of event, including incidents, near misses, and unsafe conditions, with tailored, industry-specific risk management capabilities.
Configurable templates support consistent reporting and analysis across sites.
Multi-site management enables location-specific workflows and unified visibility for global operations.
Built-in investigation tools simplify evidence capture, root cause analysis, and audit tracking.
Incidents All incidents Open Investigations Closed
Intenseye All sections All cameras
Open incidents 12 −8 vs last quarter
Near misses 38 −5 vs last quarter
Under investigation 4
Avg time to close 3.2 days
Incidents by type
24
18
11
9
6
0 6 12 18 24
12-month trend
Sep Feb Aug
Injury/Illness Near Miss Environmental Property Vehicle
SIMPLIFIED AUDITS Ensuring compliance with confidence
All your audits, one platform
Access all your audit reports and templates in one place. Securely store, track, and retrieve audit data instantly for seamless compliance and reporting.
Audit program 2 TEMPLATES
Audit program - Q3, all facilities
Audits completed
24
Open findings · weekly
−31%
+ Add template
Add from your templates
HC Housekeeping Checklist Saved · monthly
ES Electrical Safety Check Saved · weekly
MA Monthly Audit Saved · monthly
+ Create your own…
Integrated audit follow-ups
Ensure no audit finding goes unresolved. Automate follow-ups, assign corrective actions, and track resolution progress for measurable safety improvements.
Audit finding INS0001
1 Action 1 Email 1 Teams Share 4 Comments
AUG 12
EHS Manager created a corrective action from this finding
View action →
AUG 13
SO Site Officer Workshop 2 days ago
Flagged as Critical during the Monthly Audit - glove dispensers near the press line were empty at shift start.
AUG 14
EM EHS Manager Workshop a day ago
Assigned to the Site Officer. Restocked and verified on today's walk - closing the action.
Shared to Microsoft Teams · #workshop-safety
Join the discussion… Send
RISK ASSESSMENT See and control emerging risks
Capture and track risks identified across incidents, audits, and findings. Intenseye helps teams visualize patterns, prioritize emerging hazards, and manage the full risk lifecycle from identification to control in one connected system.
Ranked risks pSIF
1 Caught-in Heavy Machinery/Presses Press bay · guarding gaps flagged in audits. 8 pSIFs
2 Forklift-pedestrian proximity Aisle 7 · repeat near-miss cluster. 75.6% safety score
3 Working at height Mezzanine · harness compliance findings. 167.6h risk exposure
ROOT CAUSE ANALYSIS (RCA) Identify root causes and prevent recurrence faster
Investigate incidents with built-in RCA templates like 5 Whys and Fishbone diagrams.
Collaborate with your team, attach evidence, and uncover underlying causes to turn every investigation into structured, actionable prevention.
Online
What caused the Aisle 7 incident - and what do we fix first?
Safety Analyst Three contributing causes stand out across the investigation evidence, with Manpower factors leading. Here is the breakdown - and the fixes to start with: Contributing causes
Manpower 88%
Machinery 64%
Methods/Management 42%
1 Separate forklift and pedestrian lanes at the Aisle 7 crossing
2 Retrain night-shift operators on right-of-way procedure
3 Add horn and mirror checks to the pre-shift checklist
Fishbone 5 Whys
SEAMLESS INTEGRATIONS
Connect every safety workflow
Intenseye integrates with your existing EHS, BI, and communication tools to automate data flow and keep teams aligned.
From instant alerts to synchronized reporting, every system works together to deliver real-time safety intelligence where you need it.
Intelex Enablon Cority Sphera Benchmark Gensuite VelocityEHS ServiceNow EHS SafetyCulture Microsoft Power BI Tableau
Learn more →
ONE CONNECTED PLATFORM One platform for all your EHS workflows
Bring all your EHS workflows together in one platform - automated reporting, simplified compliance, and real-time insight to identify risks early and prevent incidents before they happen.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
You are here
EHS Suite LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Intenseye Ergonomics - continuous REBA & RULA risk assessment

URL: https://www.intenseye.com/products/software-ergonomics/

ERGONOMICS
See ergonomic risk before it becomes injury.
Intenseye Ergonomics analyzes existing camera feeds to score posture risk with REBA and RULA across real work, not occasional observations. See where lift, reach, bend, twist, and repetitive-motion strain is building before it turns into injury.
Book a demo →
Ergonomics Overview REBA RULA Alert Analytics
Bellville All cameras Jun 30 - Jul 29, 2026
Risk duration 41d 13h ↘ 29.8%
Assessment duration 373d 8h ↘ 1.2%
Compliant duration 331d 18h ↗ 4.2%
High score body part Trunk/Back ↘ 10.8%
Full-body risk profile
% of assessment time in high-risk postures
Ergonomics trends
REBA & RULA score progression
Jun 30 Jul 14 Jul 26
Trunk (REBA) Neck (RULA) Legs (REBA) Wrists (RULA)
THE SHORT ANSWER What is Intenseye Ergonomics?
Intenseye Ergonomics detects and tracks the postures that become musculoskeletal disorders, scored continuously with REBA and RULA across six body regions, on the cameras you already run . No wearables, no observation backlog.
BUILT ON SCIENCE Validated scoring, adapted to your floor.
Intenseye Ergonomics uses trusted REBA and RULA assessment methods to score posture risk across every camera and shift. For the rules unique to your operation, teams can describe what to watch for in plain language and apply it without model training.
DEFINE A RULE
CUSTOM RULE · SUSTAINED OVERHEAD
Describe a rule
Alert me when anyone holds an overhead reach for more than 30 seconds on the trim line.
Got it - new rule "Trim · sustained overhead reach." I'll score the 4 trim-line cameras and flag any hold past 30 seconds. Apply it?
Apply
✓ Rule live on 4 cameras · Trim line
REBA & RULA, continuous The same validated scores an ergonomist assigns in a walkthrough - computed on every frame, every shift, not once a year with a clipboard.
Six body regions, separately Neck, trunk, legs, upper arms, lower arms, and wrists - each scored on its own, so you know which joint carries the risk and which task drives it.
Tuned to your floor Calibrated to your cameras, angles, stations, and shifts - and your team's feedback on each assessment keeps sharpening it.
Verified improvement Risk duration, assessment duration, and compliant duration tracked per high-score body part and high-risk area.
WHAT IT MEASURES Make ergonomic risk visible, measurable, and reducible.
Move beyond one-off ergonomic assessments. Track where strain builds across real work and whether changes are reducing exposure over time.
Trunk & back REBA Neck RULA Upper arms RULA Lower arms RULA Wrists RULA Legs REBA
Trunk & back The region behind most lost-time MSDs - flexion, twist, and side bend, scored on every frame.
HIGH RISK · MSD
Trunk flexion + twist HIGH RISK Forward bend combined with rotation under load.
Sustained forward bend HIGH RISK Posture held past the safe duration threshold.
Side bending at station MODERATE Lateral lean repeated through every cycle.
Lift away from body MODERATE Load handled at a distance - multiplied spinal load.
CASE STUDY How AKA Automotive cut MSD cases by 71.82%
AKA Automotive replaced manual REBA and RULA assessments with Intenseye's Ergonomics AI to tackle rising musculoskeletal disorder (MSD) cases. Within a single reporting cycle, they:
Scored every working body in real time, flagging at-risk tasks as measurable REBA and RULA values
Acted on flagged scores - installed a hoist system, redesigned assembly chairs and tables, and adjusted welding-station bench heights
Delivered 708 man-hours of additional ergonomics training, then confirmed the gains through periodic health screenings
71.82%
reduction in MSD cases reported to the occupational physician
Cases fell from 362 in 2023 to 102 in 2024 (Jan-Sep), backed by targeted engineering fixes and 708 man-hours of ergonomics training.
ONE CONNECTED PLATFORM Catch it, stop it, prove it - on one platform.
Ergonomics runs inside the platform's detection engine. Every assessment flows into the products that act on it and prove the program works - one source of truth, not seven tools.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
You are here
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Ergonomics LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
YOUR CAMERAS OR OURS Runs on the CCTV you already own.
No rip-and-replace. Add Sentinel devices only where a normal camera can't see - low light, heat, depth, or outdoor.
Processed on-site Anonymized · no facial recognition
Explore Sentinel hardware →
Indoor Sentinel Core AI dome Depth Sentinel Depth 3D proximity Heat Sentinel Thermal Overheat Outdoor Sentinel Solar Yard traffic
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
What can Intenseye Ergonomics detect?
Continuous REBA and RULA scoring across six body regions - neck, trunk, legs, upper arms, lower arms, and wrists. It surfaces trunk flexion and twist, overhead reach, floor-level and awkward lifts, static postures, wrist deviation, and high-frequency repetition - plus any custom ergonomic rule you describe - on the cameras you already run.
How is this different from wearables or annual assessments?
Nothing is worn and nothing is scheduled. An annual walkthrough scores a job once; a wearable covers one worker at a time. Ergonomics scores every posture on camera, every shift - so you get risk duration by body region, station, and shift, and the camera verifies whether a fix actually changed the posture.
Does it work with our existing cameras?
Yes. Ergonomics runs on the CCTV you already own - no wearables, no rip-and-replace. You only add Sentinel devices where a normal camera can't see: low light, depth, or outdoor.
Do you use facial recognition?
No. Footage is processed on-site and anonymized - figures are blurred and never identified. Ergonomics scores postures and stations, never individuals. It's SOC 2 Type II and GDPR aligned.
How accurate is the scoring?
REBA and RULA are the same validated methods your ergonomics team already uses - computed per body region, continuously. Scoring is calibrated to your cameras, angles, and stations, and your team's feedback on individual assessments keeps tuning it to your floor.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Intenseye Hard Stop - automated machine stop on safety violations

URL: https://www.intenseye.com/products/software-hard-stop/

HARD STOP
Stop the machine - as soon as you see the risk.
Hard Stop turns a detected hazard into an automatic machine stop. Instead of only alerting the team after a risk appears, it connects Intenseye to the controls that can stop equipment while there is still time to prevent contact.
Book a demo →
~0.8 s
from detection to a stopped machine
Existing PLCs
works with the PLCs you already run
Fail-safe
engineered to stop
On-site
decided at the edge - no cloud round-trip
WHY IT MATTERS Safety that acts, not just observes.
Unlike most safety solutions, Hard Stop turns a detected hazard into an automatic machine stop to prevent an incident from happening.
01
Stops at the control layer
Configured detections can send a stop signal directly through Sentinel Control to the machine PLC.
02
Works with your controls
Integrates with modern and legacy PLC environments, without replacing the controls you already run.
03
Runs on site
Detection, decisioning, and stop signal happen at the edge, without waiting on a cloud round trip.
THE HARDEST PROBLEM WE SOLVE When a light curtain isn't enough.
Some reach-in risks are too specific for standard guarding alone. The line still has to run, the task still has to happen, and a hand can never enter the danger point. Our engineers map the motion on site, tune Sentinel Depth to the task, and connect the stop logic to the machine controls.
HARD STOP It knows a hand from a stick.
Our engineers build a 3D danger plane around the machine and tune it to recognize what crosses it - so the line stops for a person reaching in, not for the product moving through.
Light curtain Sentinel Depth
A broken beam - presence only The 3D scene - what crossed the plane
Nuisance stops → gets bypassed Stops for the real hazard → uptime
Fixed hardware - re-rig to change Software-defined zones per task
SENTINEL CONTROL The bridge from detection to a stopped machine.
Sentinel Control is the hard-stop machine relay that connects Intenseye's AI to your industrial controls. When Prevent flags a critical event, Sentinel Control signals the machine's PLC to stop - modern or legacy, fail-safe, on-site. It's the last link between "seen" and "stopped."
1. DETECT
Prevent flags the critical event.
A hand in the danger plane, a person in a live zone - Core sees it the moment it happens.
2. DECIDE
Hub Pro validates it on-site.
Severity is scored at the edge - no cloud round-trip between the hazard and the response.
3. SIGNAL
Sentinel Control fires the stop to the machine's PLC.
The hard-stop relay connects Intenseye's AI to your industrial controls - modern or legacy PLCs, fail-safe by design.
4. STOP
The machine stops. The team is alerted.
About 0.8 seconds from detection to a stopped machine - and the event is logged for follow-up.
THE ARCHITECTURE · ON THE FLOOR From hazard to stopped, in 0.8s.
The same loop, on a real line: Core watches the zone, Hub Pro validates on-site, Sentinel Control fires the stop to the conveyor and robot PLCs - and the line halts.
STEP 01 / 06
Line running
DETECTION → STOP 0.8 s
1. SENTINEL CORE Sees the person enter the danger zone.
2. HUB PRO Validates the unsafe act on-site.
3. SENTINEL CONTROL → PLCs Fires the stop to conveyor + robot.
4. STOP · ~0.8s Line halts and the team is alerted.
WHERE IT MATTERS Built for reach-in machine hazards.
Wherever a hand can reach a moving part, Hard Stop adds a real-time layer that stops the machine the moment the danger plane is crossed.
Winders & slitters
Stop the reach-in before the hand reaches the nip.
Presses & brakes
Halt the stroke when a person enters the die zone.
Robotic cells
Stop the cell when someone crosses into the working envelope.
Mixers & augers
Stop rotation when a hand breaks the guarded plane.
Any reach-in hazard
A 3D plane around the danger, wired to a real machine stop.
← →
PROOF The people we send home.
▶
” It's not about the cameras.
It's about the people we send home.”
BOB MALIN
SVP of EHS & S, CRH Americas Building Products
Building products · multi-site North America
ONE CONNECTED PLATFORM Hard Stop stops it. The platform prevents the next one.
The stop is one move of the platform - every product reads from the same events, so the detection, the stop, and the corrective action all agree.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
You are here
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Hard Stop LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
YOUR CAMERAS OR OURS Runs on the Sentinel devices built to stop.
No rip-and-replace. Core or Depth watches the zone, Hub Pro decides at the edge, and Sentinel Control fires the stop to the PLCs you already run.
Processed on-site Anonymized · no facial recognition
Explore Sentinel hardware →
Indoor Sentinel Core AI dome Depth Sentinel Depth 3D danger plane Edge Sentinel Hub Pro Edge AI decisioning Stop Sentinel Control PLC hard stop
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
How fast does Hard Stop stop a machine?
About 0.8 seconds from detection to a stopped machine.
Does it work with our existing PLCs?
Yes - modern and legacy PLCs, through Sentinel Control. No rip-and-replace of your controls.
Does it replace our machine guarding?
No - it adds a real-time, AI-triggered layer that detects the hazard and stops the machine. It complements your required physical safeguarding, it doesn't replace it.
What machines is it for?
Machine guarding - winders, slitters, presses, robotic cells, conveyors, in-running nips.
Do you use facial recognition?
No - workers are anonymized; no facial recognition.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye helps you detect and prioritize critical safety risks – and prevent incidents with the only computer-vision platform that can trigger a real-time, on-site machine stop.
Book a demo →
Book a demo →

### Intenseye Insights - leading indicators, Safety Score & reports

URL: https://www.intenseye.com/products/software-insights/

INSIGHTS
Safety reporting built around leading indicators.
Intenseye Insights turns detections into reports safety teams can use to track risk exposure, monitor Safety Score, manage pSIF programs, and prove where risk is improving across sites, shifts, and zones.
Book a demo →
Insights pSIF Program Safety Score Risk Exposure Leading Indicators
All plants All use cases Only alerts
pSIF alerts 104 ↘ 5%
Most improved Vehicle Controls ↘ 16.7%
Highest rising risk Behavioral Safety
Risk exposure 22h 19m 5 plants
Plant risk exposure
5h 33m
5h 11m
4h 15m
4h 12m
3h 6m
0m 1h 40m 3h 20m 5h 6h 23m
Risk exposure duration per use case
Jul 22 Jul 25 Jul 28
Climbing Collision Risk Time Restricted Electrical Veh. Pedestrian
THE SHORT ANSWER What is Intenseye Insights?
The analytics and reporting layer of the platform. It turns real-time detections into leading indicators - a Safety Score per site and across the org, pSIF prediction , risk exposure (safe vs unsafe operating time), and shift-level analytics - plus the reports that prove it: ready-made program reports and custom BBS, HOP, and QBR reports, scheduled and delivered automatically from shift change to the board meeting.
LEADING vs LAGGING Move safety reporting from hindsight to foresight.
TRIR and LTIR only tell teams what happened after someone was hurt. Insights gives safety leaders leading indicators, including unsafe acts, near misses, pSIF exposure, and risk trends, so they can see where conditions are changing and act before the outcome shows up in a report.
Leading indicators Track unsafe acts, near misses, and exposure patterns while there is still time to respond.
Beyond lagging metrics Use TRIR and LTIR for outcomes, but use Insights to understand what is driving risk before injuries happen.
Leading signal vs lagging incidents 12 MONTHS · ILLUSTRATIVE
High 0
Leading rises → incidents bend down
MONTH 1 MONTH 6 MONTH 12
Unsafe acts detected (leading) Recordable incidents (lagging)
THE CORE REPORTS Built-in reports for the metrics that matter.
Insights gives teams ready-made reporting views for the core indicators safety leaders need to manage: Safety Score, pSIF exposure, risk exposure, shift trends, and executive roll-ups across sites.
Insights Safety Score pSIF Program Risk Exposure Shift Analytics Executive Summary
One proactive number per facility and across the org, trended over time.
Org Safety Score
84 /100 ▲ +13 vs last quarter
12-month trend
Aug Nov Feb May Jul
Chief Safety Report AI COMPLETE
The potential-serious-injury scoreboard: open vs closed, trending toward zero.
Open
12
Closed · YTD
146
Predicted risk
Low
Open exposures · trending to zero
How much operating time runs at risk, and how it shrinks as the program works.
Safe vs at-risk operating time
Q1 Q2 Q3 Q4
At-risk Safe AT-RISK 34% → 9%
How risk changes by shift - surfacing the night-shift divergence between work-as-planned and work-as-done.
Risk index by shift
Day Swing Night
NIGHT SHIFT 2.7× DAY
The multi-site roll-up for leadership: leading + lagging together, benchmarks, and program ROI.
Site Score pSIF open Trend
Plant 04 88 6
Plant 11 84 9
Plant 07 79 14
Plant 18 71 21
ORG SAFETY SCORE 81 · 4 SITES
CUSTOM REPORTS Create the reports your program needs.
Create custom reporting views from your saved reports, charts, and program data. Add Safety Score, pSIF, and risk exposure views into one report, so each audience gets the context they need without starting from scratch.
Add saved report views Pull in existing charts and reports with a click, then arrange them into the view you need.
Built for your reporting rhythm Create reports for site reviews, leadership updates, or your own internal program structure.
Custom report 2 CHARTS
Safety Program - Q3, all plants
SAFETY SCORE
84
UNSAFE ACTS · WEEKLY
−31%
LEADERSHIP UPDATE · ADDED
92
+ Add report
Add from your reports
SR Site safety review Saved · weekly
LU Leadership update Saved · monthly
QR Quarterly review Saved · quarterly
+ Create your own…
SCHEDULED & AUTOMATED Keep safety reporting on schedule.
Schedule any report to generate and deliver on the cadence your team needs, from shift-change summaries and site visit packs to quarterly reviews and board updates. Keep reporting consistent without rebuilding the same view by hand.
Report scheduler CONFIGURING…
1 Report
Safety Score Proactive index
pSIF Program Predicted exposures
Risk Exposure Safe vs unsafe time
Shift Analytics Day / swing / night
Custom report BBS · HOP · QBR
2 Recipient
Floor leads Frontline supervisors
EHS team Safety managers
Plant manager Site leadership
Leadership Executive / board
3 Cadence
Each shift At every changeover
Weekly Mondays · 09:00
Monthly Board pack
Quarterly QBR review
Schedule Safety Score → Floor leads → Each shift Scheduled · delivered via Microsoft Teams
ONE CONNECTED PLATFORM Prevent sees it. Hard Stop stops it. Actions closes the loop. Insights proves it.
Insights is where the program is proven - leading indicators and the reports that show it working. One source of truth, not seven tools.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
You are here
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
Learn more →
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Insights LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
YOUR CAMERAS OR OURS Runs on the CCTV you already own.
No rip-and-replace. Add Sentinel devices only where a normal camera can't see - low light, heat, depth, or outdoor.
Processed on-site Anonymized · no facial recognition
Explore Sentinel hardware →
Indoor Sentinel Core AI dome Depth Sentinel Depth 3D proximity Heat Sentinel Thermal Overheat Outdoor Sentinel Solar Yard traffic
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
What's a leading indicator?
A proactive signal - unsafe acts, near-misses, risk exposure - that moves before an incident, unlike lagging metrics (TRIR/LTIR) that only count after.
What is the Safety Score?
Intenseye's proactive, quantifiable safety metric per facility and across the org, derived from real-time leading-indicator data.
Can I build custom reports?
Yes - custom reports with the metrics, sites, and timeframe you choose.
Can reports be scheduled?
Yes - auto-generate and deliver on a cadence: shift change, onsite visits, quarterly briefings, board presentations.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Intenseye Visual Analytics - safety heatmaps & traffic pathways

URL: https://www.intenseye.com/products/software-visual-analytics/

VISUAL ANALYTICS
See where risk concentrates across your site.
Visual Analytics turns each camera view into a map of movement, activity, and exposure, helping teams see where people and vehicles overlap and where layout changes can reduce risk.
Book a demo →
Visual Analytics Heatmap Pathways ⟲ Reset
Bellville All alerts All use cases All objects
Cameras 8 Bellville-CAM-01 Bellville-CAM-02 Bellville-CAM-03
ACTIONS Share Teams Email Task Coaching
Analytics Persons/Day 43 Peak occupancy 33 Vehicles/Day 82 Peak 07:00 Compliance 10% Low High
13 14 15 16 17 18 19 20
THE SHORT ANSWER What is Intenseye Visual Analytics?
The spatial analytics layer of the platform. It overlays density heatmaps and movement pathways on your live camera views - filtered by alert type, use case, and object - turning months of floor activity into a map you can act on. The same cameras and use cases as Control Room and Insights, now seen in space.
HEATMAPS & PATHWAYS Two lenses on the same camera.
Heatmaps reveal the zones with the highest activity, exposure, and event concentration. Pathways show how people and vehicles travel through those spaces, helping teams understand whether the issue is layout, traffic flow, work design, or behavior.
LENS 1 · HEATMAP Where is activity concentrated?
A density overlay reveals the aisles your team uses most, the dock corners with peak vehicle traffic, and where compliance events cluster.
Density over weeks 1 corner = 38% of risk
Heatmap · density PLANT 04 · ANONYMIZED
1
2
2
1
2
1
2
2
2
3
3
1
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3
3
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3
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2
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2
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Low High
LENS 2 · PATHWAYS How does activity flow?
Movement tracks show how people and vehicles travel the space - a few long journeys or many short ones, entry and exit points, stitched across the frame.
Tracks stitched across frame Entry → exit mapped
Pathways · movement PLANT 04 · ANONYMIZED
Forklift 14 tracks
Peak Count 4
Avg Journey 8540px
Avg Frames 262
Legend 7
Forklift Person Top journey route
ALERT TYPE Filter the floor to the story you need to tell.
Alert type controls what the floor map shows. Switch between all detections, pSIF risk, and compliance events to see how each category concentrates across the space, then narrow by use case, object, or status to focus the analysis.
Alert type All · pSIF risk · compliance
Use case Forklift–pedestrian, PPE…
Object Person, forklift, hard hat…
Status Open, resolved, verified
Heatmap
All alerts pSIF risk Compliance All detection types All use cases All objects
All objects Person Narrow Aisle Forklift Forklift Manlift Closed Carry Cart Truck Manual Forklift Standup Cart Golf Cart Cleaning Cart Motorcycle
Low High
All activity pSIF footprint · Dock 2 Compliance clusters
FROM MAP TO INITIATIVE Turn the map into the fix.
Spatial data is where safety meets operations. Visual Analytics surfaces the congested aisle, the forklift–pedestrian crossing, the under-used zone - the raw material for Lean and Six Sigma improvement. Chief's analyst agent turns those patterns into ranked initiatives.
Separate the traffic The congested forklift–pedestrian crossing becomes a lane redesign.
Restripe the aisle Density data justifies the markings - and proves the drop after.
Re-time the staging Hourly distribution pinpoints the window to move.
Safety + operations Lean / Six Sigma ready
Ranked initiatives, Chief Analyst Lean / Six-Sigma agent
1 Separate Dock 2 traffic Restripe the shared aisle into pedestrian + forklift lanes. −38% risk at corner
2 Re-time night staging Move staging out of the 02:00–04:00 peak window. −24% close calls
3 Open the under-used west zone Rebalance flow off the congested main aisle. −16% congestion
PROOF · BEFORE / AFTER Show the before. Prove the after.
Before guardrails, the heatmap showed forklift-pedestrian exposure concentrated in one shared corner. After installation, the same camera view confirmed lanes were separated and risk dropped.
Before · shared zone
Low High
38% of risk · 1 corner
AFTER · GUARD RAIL INSTALLED
Low High
Lanes separated · risk dropped
Visual Analytics maps it in space - pair it with Insights to prove the program. Insights →
ONE CONNECTED PLATFORM Visual Analytics maps it. Insights proves it.
Spatial analytics is one lens of the platform - every product reads from the same events, so the map, the trend, and the fix all agree.
Explore the platform →
Continuous REBA and RULA posture scoring on your existing cameras - see where strain builds before it becomes injury.
Learn more →
Turns detections into response - automated tasks, corrective actions, inspections.
Learn more →
Real-time dashboards and analytics that track performance and measure prevention impact.
Learn more →
Turn floor footage into spatial heatmaps and trends - see where risk concentrates and act on it.
You are here
Your EHS-trained AI copilot - surfaces risks and simplifies safety management.
Learn more →
Integrate with EHS, BI, and operational systems - unify data and automate reporting.
Learn more →
Instantly stops machinery when a high-risk event occurs - intervention, not just an alert.
Learn more →
Digitize incidents, audits, and inspections - every workflow aligned and accountable.
Learn more →
Visual Analytics LIVE · PLANT 04
Ergonomics → Actions → Insights → Visual Analytics → Chief → Connect → Hard Stop → EHS Suite →
YOUR CAMERAS OR OURS Maps the CCTV you already own.
No rip-and-replace. Visual Analytics runs on your existing cameras; add Sentinel devices only where you need more coverage.
Processed on-site Anonymized · no facial recognition
Explore Sentinel hardware →
Indoor Sentinel Core AI dome Depth Sentinel Depth 3D proximity Heat Sentinel Thermal Overheat Outdoor Sentinel Solar Yard traffic
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
What is Visual Analytics?
A spatial lens on your cameras - density heatmaps and movement pathways over your live views, filtered by alert type, use case, and object.
Heatmap vs pathways?
Heatmap shows where activity concentrates; pathways show how it flows. Complementary lenses on the same camera.
How are the counts calculated?
AI-estimated unique counts, overlap-weighted across tracking sessions - repeat passes aren't double-counted.
Can I export views?
Yes - via Chief, into decks, safety-committee packets, or supervisor briefs.
Do you use facial recognition?
No - anonymized, no facial recognition.
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Resources of the EHS world | Intenseye

URL: https://www.intenseye.com/resources/

Resources Industry insights and resources
Hear from industry leaders and Intenseye experts on safety and AI.
Real platform workflows for
risk detection, accountability,
and coaching
Watch on demand to see how EHS teams spot risks in real time, close the loop with owners, and coach in the moment.
Watch demo video →
Blogs
View all blogs →
SAFETY PSIFs are one of the most underused "signal" metrics in safety.
DATA What It Looks Like When a Safety Program Starts Getting Smarter Over Time
SAFETY Your Safety Team Isn't Missing Data. It's Missing a Way to Act on It.
Events & Webinars
View all events →
SEP 14 – SEP 16 Indianapolis, IN Booth 635
2026 NSC Safety Congress & Expo
Stop by Booth 635 to see how Intenseye helps safety leaders proactively reduce risk, prevent incidents, and strengthen compliance using AI-powered safety analytics.
Learn More — 2026 NSC Safety Congress & Expo
JUN 15 – JUN 17 Anaheim, CA Booth 4361
ASSP Safety 2026 Conference & Expo
Join us at Booth 4361 for a hands-on look at how Intenseye turns existing cameras into a 24/7 prevention network — and what that means for your safety program.
Learn More — ASSP Safety 2026 Conference & Expo
JUNE 1 – 3 New Orleans, LA Booth 1013
AIHA Connect 2026
Meet Intenseye at the leading conference for occupational and environmental health & safety professionals.
Learn More — AIHA Connect 2026
Guides & Reports
View all ebooks →
SIF Playbook Mastering SIF prevention Download PDF ↓
SIF Report The unknown unknowns: uncovering 'hidden' SIF data Download PDF ↓
SIF Playbook SIF prevention for food & beverage Download PDF ↓
Case studies Proof from the floor
View all case studies →
89% reduction in safety risks related to the absence of hard hats View case study → 25% reduction in Total Recordable Incident Rate View case study → 1st day, immediate impact View case study → 27% decrease in lost day rate (LDR) within a year View case study → 20% drop in speeding cases within the first week View case study →
Press In the news
View all →
Press Why manufacturing companies now see safe workplaces as a competitive advantage Read more →
Press Building the AI backbone of workplace safety Read more →
Journey to Zero Real-time solutions for rapid safety outcomes
Reduce your safety risk today.
Schedule a demo →
Book a demo →

### Events & Webinars | Meet Intenseye at events for a safer future

URL: https://www.intenseye.com/resources/events/

Resources / Events & Webinars Register to attend upcoming events and webinars.
Join us live or watch on-demand for the latest on SIF prevention, EHS strategy, and AI-powered safety.
Upcoming events
SEP 14 – 16 Indianapolis, IN Booth 635
2026 NSC Safety Congress & Expo
Stop by Booth 635 to see how Intenseye helps safety leaders proactively reduce risk, prevent incidents, and strengthen compliance using AI-powered safety analytics.
Learn More — 2026 NSC Safety Congress & Expo
JUNE 15 – 17 Anaheim, CA Booth 4361
ASSP Safety 2026 Conference & Expo
Join us at Booth 4361 for a hands-on look at how Intenseye turns existing cameras into a 24/7 prevention network — and what that means for your safety program.
Learn More — ASSP Safety 2026 Conference & Expo
JUNE 1 – 3 New Orleans, LA Booth 1013
AIHA CONNECT 2026
Meet Intenseye at the leading conference for occupational and environmental health & safety professionals.
Learn More — AIHA CONNECT 2026
APR 28 – 29 Dallas, TX
HSE Learning Summit
Join Intenseye in Dallas to connect, learn, and see how Physical AI is helping safety leaders reduce high-severity risk at scale.
Learn More — HSE Learning Summit
APR 13 – 16 Atlanta, GA Booth C16026
MODEX 2026
Stop by our kiosk booth to see how Intenseye helps operations teams prevent incidents, improve compliance, and scale safety across warehouses and distribution centers.
Learn More — MODEX 2026
OCT 14 – 16, 2025 Chicago, IL Booth #7
The Connected Worker Manufacturing Summit
Intenseye is excited to be part of the Connected Worker Manufacturing Summit, bringing together senior safety, health, and manufacturing leaders from across industries to explore innovation, collaboration, and results in workplace safety.
Learn More — The Connected Worker Manufacturing Summit
Load more ↓
Upcoming & on-demand webinars
Webinar — Watch anytime Sentinel: The Age of Physical AI Begins
Watch now →
November 12, 2025 Together for Safety: EMD x Intenseye Global Meetup Watch webinar → September 10, 2025 Together for Safety: PPG x Intenseye Global Meetup Watch webinar → July 23, 2025 Together for Safety: Coca-Cola Bottling Community x Intenseye Global Meetup Watch webinar → June 27, 2024 Jumpstarting the EHS Digital Transformation Journey Watch webinar → March 13, 2024 Smart Ergonomics: AI-driven insights for minimizing workplace injuries Watch webinar → March 29, 2022 Intenseye presents Ergonomics AI Watch webinar →
Load more ↓
Journey to Zero Real-time solutions for rapid safety outcomes
Reduce your safety risk today.
Schedule a demo →
Book a demo →

### Guides & Reports | Intenseye ebooks and playbooks

URL: https://www.intenseye.com/resources/guides-reports/

Resources / Guides & Reports Explore our library of guides, reports and ebooks.
In-depth playbooks and research on SIF prevention, EHS strategy, and AI-powered safety.
All guides & reports
ROI Study Value Delivery Study Download PDF ↓
SIF Report SIF Thought Leadership Report Download PDF ↓
SIF Playbook Mastering SIF Prevention Through Real-Time Safety Management Download PDF ↓
Industry Playbook Containers, Packaging & Paper Industry Playbook Download PDF ↓
Industry Playbook Automotive Manufacturing Industry Playbook Download PDF ↓
Industry Playbook Food & Beverage Industry Playbook Download PDF ↓
Industry Playbook Air Cargo Industry Playbook Download PDF ↓
Industry Playbook Building Materials Industry Playbook Download PDF ↓
Journey to Zero Real-time solutions for rapid safety outcomes
Reduce your safety risk today.
Schedule a demo →
Book a demo →

### Workplace Safety Podcasts | Intenseye

URL: https://www.intenseye.com/resources/podcasts/

Resources / Podcasts Podcasts
Listen to transformative insights from industry leaders.
Stay Safe with AI: Abby Ferri Part 2
In part two of this two-part series, Abby Ferri, Senior Leader at National Safety Council Networks, returns to join Intenseye CEO Sercan Esen for a deeper dive into cultural adoption, measuring ROI, and how the role of safety professionals is evolving in an AI-driven world.
View podcast page →
Play episode
Stay Safe with AI: Abby Ferri Part 1
In this episode, Abby Ferri, Senior Leader at National Safety Council Networks, joins Intenseye CEO Sercan Esen for a deep dive into how AI is reshaping safety practices. They explore the shift from broad compliance checklists to targeted critical control verification, the power of continuous visibility in detecting unsafe acts, and how safety teams can use existing data more effectively to prevent serious incidents. This first part sets the foundation for a continuing discussion in Part 2, covering cultural adoption, ROI, and the evolving role of safety professionals in an AI-enabled world.
View podcast page →
Play episode
Stay Safe with AI: Michael Toffel
In this debut episode of Stay Safe with AI, Intenseye CEO Sercan Esen welcomes Professor Michael Toffel to unpack the hidden gaps between safety on paper and safety in practice. Through stories from the field and reflections on systems change, they explore the disconnect between compliance-driven routines and the real work of risk management—and how today’s leaders can bridge it.
View podcast page →
Play episode
Category Visionaries podcast
View podcast page →
Play episode
Women In Safety podcast
Our Customer Success Manager Gabrielle Connolly recently featured on the Women in Safety podcast! Tune in now in this enlightening episode to dive deep into the significance of continuous learning in adapting to new safety technologies and the importance of leveraging data to enhance safety practices.
View podcast page →
Play episode
Journey to Zero Real-time solutions for rapid safety outcomes
Reduce your safety risk today.
Schedule a demo →
Book a demo →

### ROI calculator - estimate your return | Intenseye

URL: https://www.intenseye.com/roi-calculator/

CALCULATE YOUR ROI Estimate the return on your investment in Intenseye
Estimate the incidents, claims, and downtime you'd avoid. Set your footprint, pick a scenario, and see the annual value.
Estimate your return
See what Intenseye could save you
Facilities − +
Workers / facility 800
Cameras / facility 80
Current recordable rate 3.0
Industry Metals & Steel Industrial Manufacturing Automotive Warehousing & Logistics Food & Beverage
Scenario Conservative Expected Aggressive
Net value Safety Operations
Estimated annual value
$ 4.0M range $ 3.5M – $ 4.5M
Incidents prevented / yr
84
Payback period
2 mo
Show the math ▾ Incidents avoided × $42k $ 3.5M
Downtime & throughput $ 392k
Insurance premium $ 56k
Net annual value $ 4.0M
The line-by-line math is locked. Enter your details to unlock the full breakdown of your estimate.
Get the full breakdown
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Get the full breakdown Breakdown unlocked.
The full math is now visible above. Our team will follow up with a tailored ROI review for your sites.
Illustrative estimate - not a quote.
WHERE THE VALUE COMES FROM Three value streams. One number.
The estimate adds three streams, scaled by your industry and scenario. Every input maps to a line your finance team can audit.
01 · SAFETY Incidents you don't have
Recordables and potential SIFs prevented as unsafe acts get caught and corrected in real time - before they become injuries, claims, and investigations.
In the model incidents avoided × $ 42k
02 · OPERATIONS Lines that keep running
Fewer stoppages, less equipment damage, and fewer hours lost to incident response - the same cameras also flag the process risks that stall throughput.
In the model downtime + throughput / camera
03 · FINANCIAL Premiums that come down
A falling recordable rate shows up in workers' comp premiums, claims reserves, and the cost of insuring every worker on your floor.
In the model premium reduction / worker
Cost assumptions draw on published injury-cost averages and Intenseye deployments. The full business case replaces them with your numbers - by site, with NPV and payback.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Verdantix ROI Study | Intenseye Verified Value Delivery

URL: https://www.intenseye.com/roi-study/

The business case for proactive safety.
Verdantix modeled the financial and strategic impact of Intenseye for a representative industrial manufacturer, drawing on market research, expert analysis, and real Intenseye customer results
Download the full study
129 %
Return on investment
— over 3 years
$ 1.8M
Total benefits
— over 3 years
$ 1M
Net present value
— over 3 years
11 months
Break-even point
— from deployment
Outputs reflect the study's model customer and change with buyer profile. Rollout scales from 3 to 22 sites between year 1 and year 3.
CALCULATION METHODOLOGY From real-world inputs to a validated financial model.
Verdantix used real Intenseye customer data to build a representative model manufacturer, then calculated the financial impact across a three-year period.
Inputs
Verdantix survey data
Global surveys of EHS, operations and risk decision-makers on budgets, priorities and preferences.
Verdantix analyst interviews
Six analysts feed market trends and requirements into the financial model.
Vendor demo
A software demonstration defines the scope of Intenseye's solution.
Model customer definition
A representative buyer profile is defined as the basis for all calculations.
→
Model
Interim financial model
ROI, NPV and break-even calculated from savings categories pulled from analyst interviews and existing research.
→
Validation
Intenseye customer input
Interviews and surveys with existing Intenseye customers verify the model and its outputs. Strategic benefits and project risks also captured.
→
Outputs
Financial model
Project ROI, NPV and break-even point, validated by customer interviews.
Strategic benefits
Finalized strategic benefits validated by customer interviews.
Risk mitigations
Project risks and their mitigation efforts validated by customer interviews.
THE MODEL CUSTOMER A real-world profile for measuring ROI.
Verdantix aggregated its interviewees' experiences into a model company — a manufacturer managing safety manually, with no dedicated software.
0.53
Total recordable injury rate (TRIR)
$ 5.5bn
Annual revenue
60%
Average camera coverage
Industrial Mfg.
Industry
22
Sites in scope
Enterprise Launch
Intenseye package
WHERE THE SAVINGS COME FROM How safer operations translate into savings.
From the use cases discussed in customer interviews, Verdantix broke anticipated savings into four categories of verified line items.
Combined three-year cost savings by category Preventing injuries and fatalities carries the model.
Injury & fatality savings Employee time savings Operational shutdown savings Non-compliance savings
Model customer three-year cost / benefit analysis Break-even in month 11. $ 1.02M net by year three.
Cash flows · USD
Year 1 Year 2 Year 3
Total benefits $ 225K $ 420K $ 1.16M
Total costs ( $ 121K) ( $ 167K) ( $ 502K)
Cumulative net benefits $ 104K $ 357K $ 1.02M
Outputs are reflective of the model customer and are expected to change depending on buyer profile. Camera hardware costs, where necessary, are not included.
We see that the different categories of savings, like time, or reduced injuries, or reduced number of fatalities, provided by Intenseye are materializing in our P&L as financial savings.
Food packaging $ 3.5bn revenue ~20,000 employees Global Head of EHS, Quality & Sustainability
BEYOND THE MODEL The business value behind the ROI.
The study documents strategic upsides that don't fit in a savings line — several achievable only by partnering with a third-party workplace safety provider.
01 Safety culture
Floor-level transparency drives better operational processes and continuous improvement.
02 Data analytics
Real-time data improves decision-making and surfaces leading indicators.
03 Compliance facilitation
Avoidance of penalties — financial and non-financial — and damage to reputation.
04 Audit facilitation
Faster audit cycles with less stress placed on staff in operational roles.
05 Training standardization
Floor monitoring of risks and compliance improves common training materials.
06 Maintenance planning
Insight into asset use enables timely, low-disruption maintenance.
07 Operational redesign
Visibility into working practices lets facilities be redesigned around real needs.
08 Employee retention
Increased safety lifts satisfaction — and keeps skills and experience in the team.
Our goal is to have a zero accident, zero harm culture. We use Intenseye to uncover the unseen and ensure we can implement countermeasures before something happens.
Food packaging Global Head of EHS, Quality & Sustainability
THE FULL STUDY Download the full Verdantix ROI study.
The full VVD methodology, model assumptions and contract detail
The complete savings tree and ROI calculations
Three-year cash-flow and cost / benefit analysis
Strategic benefit breakdowns with customer and analyst commentary
The risk register and heatmap with mitigation plans for due diligence
Download the full study Model your own ROI
Verified Value Delivery · Study for Intenseye · Developed in partnership with Verdantix, an independent research & advisory firm.
Book a demo →

### Intenseye Software - one platform: see, understand, act, prove

URL: https://www.intenseye.com/software/

INTENSEYE SOFTWARE
The AI safety platform that closes the loop.
Intenseye connects hazard detection, intervention, coaching, and reporting in one AI safety platform, so teams can move from seeing risk to reducing it.
Book a demo →
CRITICAL Worker collapse detected - Line 3
LINE 3 · CAM 22 · LIVE
STEP 1 See
Bring every camera into one prioritized view. Intenseye watches the floor continuously, surfaces the hazards that need attention, and routes critical alerts before the moment passes.
PLANT Overview All cameras
Safety compliance 83% ↗ +0.3%
Operational efficiency 14h 19m ↗ +1.7%
PSIFs 93 ↘ 11.4%
Phoenix AZ
Cleveland OH
Real time safety
pSIF
14 cameras →
pSIF
7 cameras →
Control Room
Every feed watched. Every risk prioritized.
Control Room shows the whole floor in one view, with AI monitoring each feed in the background. When a hazard is detected, it rises to the top with severity, location, and the clip attached.
Priority-first view The riskiest detections rise to the top, so teams are not scanning camera tiles or chasing timestamps.
Anonymous by design Workers appear as anonymized figures. No facial recognition, ever.
Works with your camera network Connect existing CCTV and add Sentinel hardware where coverage needs to expand.
Built for active monitoring Run Live on the control-room wall, safety office screen, or plant-floor display.
Live Alerts
The right hazard reaches the right person fast.
Ensure critical detections make it to the right team with the clip, severity score, location, and status attached. Alerts can route by shift, zone, and risk level, then stay tracked until someone acknowledges or escalates them.
Severity-based routing Prioritize alerts based on likelihood, severity, and risk level.
Shift and zone logic Send each event to the team responsible for that area and time of day.
Consistent context Every alert includes the footage needed to understand what happened.
Acknowledged or escalated Unanswered critical alerts stay active until they are owned or escalated.
STEP 2 Act
Move from detection to direction. Chief turns your safety data into cited answers, recommended next steps, and the context teams need to decide what to fix first.
PLANT 04 · LIVE DATA
Why did line-of-fire spike on night shift this week?
Chief cited · 14 events
Night shift moved staging into the forklift lane on Tuesday . 11 of 14 events happen between 02:00–04:00 at Dock 2 - same three-pallet bottleneck each time. ▶ 02:14 clip ▶ 03:36 clip +12 more
Want me to draft a toolbox talk for the night crew and a task to restripe the staging zone? Yes - draft both Just the task
Chief
Ask your floor anything.
Chief is the agentic AI layer inside Intenseye, built to answer questions from your safety data. Ask about a spike, trend, site, shift, or hazard type, and Chief returns cited context, clips, charts, and recommended next steps.
Understand the question Ask about a site, shift, hazard, trend, or program metric.
Show the work Every answer connects back to source events, clips, and data.
Route the request Chief sends each ask to the right specialist agent.
Draft next steps Generate reports, coaching plans, summaries, and actions.
Insights
Every hazard scored by likelihood × severity, trended by plant, zone, and shift - fix the riskiest thing first, not the loudest.
RISK SCORE · 12 WEEKS
MAR APR MAY
▼ 61% risk score, one quarter
Visual Analytics
Risk drawn directly onto your floor plan. Hot corners glow; safe zones don't. Walk the heat, not the spreadsheet.
HEAT · VEHICLE–PEDESTRIAN
DOCKS AISLES PRESS
1 corner = 38% of risk
Ergonomics
Every lift, twist, and reach assessed automatically - a year of observation in a month, not a 20-minute annual audit.
REBA 9 → 4
LOW AFTER ROTATION HIGH
373 days observed / month
STEP 3 Coach
Turn the patterns Intenseye finds into tasks, coaching, and follow-up that stay connected to the risk.
Actions · Dock 2 LINKED TO 14 EVENTS
DOCK 2 · CAM 31
Restripe staging zone - Dock 2 DUE FRI
OWNER · M. ALVAREZ - OPS · CLIP ATTACHED
In progress ▶ Evidence 14 events
ZONE RISK · BEFORE / AFTER
TASK CLOSED
WK 1 WK 4 WK 8
Actions
Every detection gets a clear next step.
Actions turns detections into assigned work with the clip, owner, due date, and status attached. Coaching turns repeat patterns into crew-level conversations, so teams can address what keeps happening without turning safety into individual surveillance.
Ownership and due dates automated One tap from any event to an assigned task with the clip attached.
Non-punitive coaching Repeat patterns become anonymized coaching moments for the crew, not write-ups for individuals.
Verified closure The camera confirms whether the fix is holding before the action is marked complete.
Visible impact Completed actions stay connected to the risk pattern they were meant to reduce, so teams can see whether the fix actually changed the outcome.
CONNECT
Leverage your existing tech stack
Send alerts, tasks, and updates into Slack, Teams, ServiceNow, EHS systems, BI tools, and the rest of your stack. The response happens in the tools teams already check.
Slack Teams ServiceNow SAP EHS Cority Intelex Power BI +25 more
EHS SUITE
Build a record while the work gets done.
Observations, near misses, actions, evidence, and outcomes are captured as teams respond, creating audit-ready documentation without rebuilding the story after the fact.
OSHA -ready exports ISO 45001 evidence 0 Friday-afternoon reports
STEP 4 Track impact
Close the loop with proof. Track risk exposure, Safety Score, and outcomes over time to see what changed.
SAFETY COMPLIANCE
88 % ↗ + 8.0
Safety score (Last 7 days)
Q1 Q2 Q3 Q4
Safety Score 62 → 88
Up 26 points as corrective actions closed - and stayed closed.
▼ 47% recordables YoY Board-ready ISO 45001
Impact
Watch the whole program improve.
Track Safety Score, risk exposure, and recordables over quarters - not just single events. Each corrective action connects back to the pattern it targeted, so leadership sees what changed, where, and by how much.
Program-level trends Safety Score, risk, and recordables tracked over time across every site.
Before and after on every fix See whether a closed action actually moved the risk line - or didn't.
Board-ready reporting One view for leadership: what changed, where, and by how much.
Proven ROI Connect prevented incidents to cost avoided and audit outcomes.
THE WORKFLOW From first signal to verified fix.
T+0.0s Hazard detected A pedestrian steps into an active forklift lane. The AI reads the geometry and closing speed - this one matters.
T+0.8s Machine stopped Hard Stop signals the forklift's PLC through Sentinel Control. The truck is stationary before anyone has looked at a screen.
T+8s Right person alerted The night-shift lead gets the alert with the clip attached - severity-scored, acknowledged in seconds.
T+90s Work assigned Chief links it to 13 prior events at the same corner and drafts the fix: restripe the staging zone. One tap makes it a task.
Day 7 Proven on the trend The task closes, the cameras confirm it's holding, and the risk line drops - timestamped in the EHS Suite for the audit.
DOCK 2 · CAM 31 02:14:07
FORKLIFT 7 · 6 MPH LINE OF FIRE
SENTINEL CONTROL · PLC HARD STOP
PRESS CELL · CAM 9 SIGNAL SENT · 0.8s
6 → 0 mph
Forklift 7, safe-stopped through the PLC relay - before anyone looked at a screen.
Machine stopped Operator notified Event logged
LIVE ALERTS ROUTED · SHIFT B LEAD
FORKLIFT · PEDESTRIAN CRITICAL · pSIF DOCK 2 · CAM 31 · CLIP ATTACHED
SB S. Brooks shift lead · 02:14:15
Acknowledged. Walking over now.
14TH EVENT AT THIS CORNER
DOCK 2 · CAM 31
This is the 14th vehicle–pedestrian event at Dock 2 since staging moved. Root cause: the pallet bottleneck narrows the walkway. Draft fix ready.
Restripe staging zone - Dock 2 DUE FRI
OWNER · M. ALVAREZ - 14 EVENTS LINKED
Insights · EHS Suite AUDIT-READY
DOCK 2 · VEHICLE–PEDESTRIAN RISK
RESTRIPED · DAY 0
WK −2 FIX WK +2
▼ 85% repeat events Logged · ISO 45001 On the trend
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
PROOF Trusted on the floors that can't afford a miss.
− 85 %
close-call alerts at a single zone after one coaching loop - held for three weeks and counting.
30 /week
fewer potential serious injuries from one completed task - timestamped on the trend.
373 days
of work observed for ergonomic risk in one month, at one plant - versus a 20-minute annual audit.
CLOSE THE LOOP ON SAFETY See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### AI operational intelligence from your safety cameras | Intenseye

URL: https://www.intenseye.com/solutions/operations/

OPERATIONS
Turn floor movement
into operational
intelligence.
Intenseye gives operations teams real-time visibility into how people, vehicles, and assets move through the floor, helping identify bottlenecks and reduce lost time.
Book a demo →
SOLUTIONS FOR OPERATIONS What is operational intelligence from your safety cameras?
Intenseye turns the cameras you already run into operational intelligence: it maps how people and vehicles move, where flow congests, how long material dwells, and where time is lost - continuously, on every shift. The same computer vision that prevents serious injuries also shows you how to run a faster, smoother floor - with no new sensors.
Cycle time breakdown by date
Stacked cycle time per process · last 7 days
0
40
80
120
160
TARGET · 130 MIN
Jul 14
Jul 15
Jul 16
Jul 17
Jul 18
Jul 19
Jul 20
FABRICATION ASSEMBLY INTEGRATION FINISHING INSPECTION TARGET TOTAL
Average cycle time 26.8 min −3% vs last week
On-time completion 87.5% Above 85% target
Total units 156 +12% vs yesterday
Swing gate
Convex mirror
With Intenseye
Without Intenseye
THE PROBLEM You can't fix what you can't see.
Operations teams rely on spot checks, time studies, and instincts to understand how the floor runs. Intenseye continuously maps how people, vehicles, and assets move, so teams can see where work slows down, piles up, or stops - the leading signals a yearly time study misses.
WHAT INTENSEYE REVEALS See how work moves across the floor
Explore how Intenseye maps traffic flow, congestion, space utilization, dwell time, and lost time across your operation. Pick a capability to see what Intenseye watches, and why it matters on a real floor.
Powered by Visual Analytics →
Capabilities
Traffic flow & pathways Congestion & bottlenecks Space & utilization Dwell & staging time Lost time & disruption Equipment activity
Traffic flow & pathways
Learn more →
See the routes people and vehicles actually take - not the ones on the layout drawing.
What Intenseye maps
Primary route HOTSPOT The busiest path on the floor - where most traffic concentrates.
Entry / exit point OBSERVED Where flow enters and leaves the zone each shift.
Cross-traffic HOTSPOT Pedestrian and vehicle paths intersecting on the same line.
Zone-to-zone travel OBSERVED Repeated trips between two areas - a candidate to shorten.
Congestion & bottlenecks
Learn more →
Find the corner that carries the most traffic - and backs everything up.
What Intenseye maps
Pile-up corner HOTSPOT One corner carrying a disproportionate share of the traffic.
Queue at chokepoint HOTSPOT Flow backs up where a path narrows.
Shared-zone conflict HOTSPOT Forklifts and pedestrians competing for the same space.
Dock back-up OBSERVED Vehicles waiting to load or unload.
Space & utilization
Learn more →
See which aisles and zones earn their footprint - and which sit idle.
What Intenseye maps
Under-used aisle OBSERVED Space sitting idle for most of the shift.
Over-packed zone HOTSPOT Density beyond efficient - and safe - use.
Layout misfit OBSERVED Racking and flow working against each other.
Walkway width OBSERVED Path narrowed below efficient working width.
Dwell & staging time
Learn more →
Measure how long material actually sits - continuously, not from a clipboard.
What Intenseye maps
Staging dwell HOTSPOT Material sitting longer than the plan allows.
Queue time OBSERVED Time waiting at a station before the next step.
Idle inventory OBSERVED Stock parked off the active flow.
Handoff delay HOTSPOT The gap between two process steps.
Lost time & disruption
Learn more →
Catch the stoppages and re-work that quietly bleed throughput.
What Intenseye maps
Stoppage HOTSPOT A line or area halted - time bleeding while it sits.
Near-miss disruption HOTSPOT A close call that breaks the flow and the cadence.
Re-work loop OBSERVED Material doubling back through a step.
Unplanned detour OBSERVED Flow re-routed around a blockage.
Equipment / process activity
Learn more →
See active-vs-idle patterns across the floor.
What Intenseye maps
Active vs idle OBSERVED Whether equipment is running or waiting.
Asset utilization OBSERVED Share of time in productive use.
Cycle gap HOTSPOT A pause between cycles where time is lost.
Changeover window OBSERVED Downtime during a product switch.
THE SPATIAL LENS Two ways to read how the floor runs.
The same anonymized cameras give operations two product views: a heatmap of where activity and congestion concentrate, and pathways that show how people and vehicles actually move. Toggle the lens and read the floor as it really runs.
Powered by Visual Analytics →
HEATMAP · DENSITY
All movement Congestion hot-spot Utilization
Where activity & congestion concentrate
Every person and vehicle, aggregated into a live density map. The hottest corner is the one carrying the most traffic - usually the bottleneck to fix first.
Congestion Dwell & staging Space utilization
PATHWAYS · MOVEMENT
Person Forklift Primary route
How people & vehicles actually move
Aggregated tracks reveal the real routes, entry and exit points, and the cross-traffic where forklift and pedestrian paths collide - the spatial data a lane redesign needs.
Traffic flow Routes & entry/exit Forklift–pedestrian
CLOSE THE LOOP ON OPERATIONS From the floor to the fix
One connected platform turns what the cameras see into a change on the floor - map the flow, surface the pattern, run the initiative, and prove that lost time fell.
PRIVACY BY DESIGN
Facial and body blurring
Dynamic masking
Timestamp anonymization
LIVE
Map how work actually flows.
Surface the pattern behind the pile-up.
Turn each event into a ranked fix.
Watch performance climb - and prove it.
INSIGHTS · ALL SITES
Performance is trending up - with proof.
PROCESS DEVIATIONS
93 ↓ 11.4%
DEVIATIONS FLAGGED · LAST 7 DAYS
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
OPERATIONAL EFFICIENCY
14h 19m ↑ 1.7%
PRODUCTIVE RUN TIME PER DAY
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
Ask Chief
Ask Lean Analyst Diagnose waste, propose change, visualize Ask Six Sigma Analyst Find the hotspot, kill the variance
Six Sigma Analyst AI
DIAGNOSIS
Four hotspot cells (~20% of total density) sit at the left picking-aisle mouth, where ~43 pedestrians/day step blind into a drive aisle carrying ~30 forklifts/day. The rack upright kills the sightline, so both converge unseen at one corner — it must be segregated and controlled .
CONTROL
Install a safety-yellow steel guardrail with a self-closing pedestrian swing-gate at that aisle mouth plus a convex mirror on the upright — engineering control ; it physically forces a face-traffic pause and restores the blind sightline, which administrative signage cannot enforce.
STANDARD
Guarding/traffic separation per OSHA 1910 (powered industrial trucks); high-visibility marking per ANSI Z535.
VERIFY
Vehicle–Pedestrian Interaction alerts in this cell → −80%; redraw this camera's crossing/exclusion zone to the new gate line.
01 Detect AI watches every camera, 24/7, and flags bottlenecks, idle time, and process deviations - with video evidence. 02 Act Flag it in the moment - alerts and live prompts notify the team where the work happens. 03 Coach Every event becomes a ready-made review for the crew and shift involved. 04 Track impact Watch throughput climb and downtime fall week over week - and prove it worked.
THE DIFFERENTIATOR Safety and operations, powered by one system.
Most tools solve one problem. Intenseye turns existing cameras into intelligence for both EHS and operations - prevent the risks that injure workers and reveal the bottlenecks that slow work down, from a single deployment.
Single-purpose tools Separate systems
One platform
Safety
A dedicated safety tool - its own sensors and cost.
Prevents serious injuries on the cameras you already run.
Operations
A separate flow or time-study tool to buy and run.
Reveals movement, congestion, dwell, and lost time - same cameras.
Deployment
Two systems, two integrations, two business cases.
One deployment, one platform, shared ROI.
Outcome
Duplicated cost.
One system for risk and flow.
OPERATIONAL EFFICIENCY AT SCALE Designed for Operations
Intenseye tracks the conditions and behaviors that drive flow across areas, tasks, and shifts, turning what the cameras see into operational intelligence teams can act on.
Remove operational inefficiencies
Continuous visibility shows where flow breaks - congestion, long walks, waiting, blocked routes - so teams can adjust faster and stabilize output across shifts.
Understand flow and utilization
Movement data turns into clear metrics that reflect how work actually runs, so leaders can identify slow points, unused space, and patterns that disrupt flow.
Prove and scale improvements
Before-and-after comparisons clarify which changes improve performance. Successful adjustments can then be scaled across lines and sites.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
Power BI Tableau Microsoft Teams Slack ServiceNow Microsoft Okta Google Chat
INTEGRATIONS · BI & OPERATIONAL SYSTEMS Operational intelligence where teams already work.
Stream safety and operations data into the tools your team already uses.
Feed Power BI and Tableau over standard OData.
Blend flow, congestion, dwell, and lost-time data with your metrics.
Route alerts to Slack and Teams .
Explore all integrations →
INDUSTRIES Built for the industries where visibility matters most.
Industrial manufacturing Explore → Warehousing & distribution Explore → Food & beverage Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Air cargo & logistics Explore →
FAQ Questions, answered.
Built for operations and EHS leaders. Still have a question?
Talk to our team →
What is operational intelligence from safety cameras?
Mapping how people, vehicles, and material move and where time is lost - from your existing cameras.
Does it need new hardware?
No - it runs on the cameras you already have; add Sentinel only for gaps.
What can it measure?
Flow and pathways, congestion, space utilization, dwell, and lost time.
How does this help Lean / Six Sigma?
It gives the spatial, continuous data those methods need - then turns the patterns into ranked initiatives.
Do you use facial recognition?
No - anonymized, no facial recognition.
SEE IT ON YOUR FLOOR See what Intenseye can do across your operations.
Meet with our team to explore how Intenseye can help you see the flow, congestion and lost time on your floor
Book a demo →
Book a demo →

### AI quality & compliance monitoring from your cameras | Intenseye

URL: https://www.intenseye.com/solutions/quality/

QUALITY
Continuous quality, fewer interruptions.
Intenseye monitors SOP adherence, hygiene, contamination controls, and audit-critical processes in real time, helping teams maintain quality standards every shift.
Book a demo →
SOLUTIONS FOR QUALITY How does AI help with quality and compliance?
The same computer vision that catches unsafe acts catches non-conforming ones - a skipped step, missing hygiene PPE, a process out of sequence, a contamination risk - in real time, on the cameras you already run . Intenseye monitors how work is actually done against the standard, continuously.
Audit only
0 MAX 100
64 %
Moments-in-time sampling misses drift between audits.
With
0 MAX 100
98 %
Continuous verification — every shift on the record.
THE PROBLEM Between audits, quality compliance quietly drifts.
Audits only show a moment in time. Between checks, steps get skipped, hygiene slips, and process standards drift until a customer complaint, failed audit, or recall reveals the gap.
WHAT INTENSEYE WATCHES Process conformance, verified in real time
Intenseye helps teams monitor whether critical work is happening as expected, from standard work and hygiene checks to housekeeping and cold-chain protection. Pick an area to see the checks it runs on a live line.
Quality areas
Standard-work / SOP Hygiene & contamination Housekeeping & cleanliness Cold-chain & product protection Process presence
Standard-work / SOP adherence
Learn more →
Steps done, in sequence, at the station - how work is actually done, checked against the standard on every run.
Conformance checks
Steps in correct sequence PASS Each SOP step performed in order.
Pre-start checklist signed PASS Line not run before sign-off.
Torque / setting confirmed PASS Operator confirms before run.
Allergen changeover FLAG Changeover step skipped on this run.
Hygiene & contamination
Learn more →
Hairnets, gloves, hand-hygiene, and clean-zone PPE - verified continuously, not just at the door.
Conformance checks
Hand hygiene at entry PASS Wash/sanitize before clean zone.
Hairnet & beard cover PASS Worn before entering prep area.
Gloves on for handling PASS No bare-hand product contact.
Gloves changed on task switch FLAG Cross-contamination risk flagged.
Housekeeping & cleanliness
Learn more →
Spills, debris, and contamination sources - found before the audit, or the incident, does.
Conformance checks
Clean-as-you-go followed PASS Station kept clear during run.
Walkways & drains clear PASS No standing debris or water.
Waste at correct bins PASS Segregation maintained.
Spill on floor FLAG Slip + contamination source flagged.
Cold-chain & product protection
Learn more →
Dwell and temperature exposure, watched continuously for product protection and loss prevention.
Conformance checks
Door dwell within limit PASS Chiller door not held open.
Product staged in zone PASS No product left in ambient.
Cold-room re-entry logged PASS Access tracked for the record.
Pallet dwell exceeded FLAG Temperature-exposure risk flagged.
Process presence
Learn more →
The right steps and the right people present before the line runs.
Conformance checks
Operators at station PASS Required roles present pre-run.
QA check present PASS In-process check performed.
Tooling & jigs staged PASS Correct fixtures in place.
Second-person verify PASS Two-person step confirmed.
CLOSE THE LOOP ON QUALITY Define the standard. Hold it every shift.
Define the standard once, then hold it continuously. Intenseye monitors conformance in real time, flags deviations as they happen, and creates the record teams need to coach, correct, and prove compliance.
Skipped step · Deviation
PRIVACY BY DESIGN
Facial and body blurring
Dynamic masking
Timestamp anonymization
LIVE
Watching every camera, around the clock.
Flag the deviation as it happens.
Turn each alert into a coaching moment.
Watch conformance climb - audit-ready proof.
INSIGHTS · ALL SITES
Conformance is trending up - audit-ready proof.
STANDARD-WORK DEVIATIONS
93 ↓ 11.4%
DEVIATIONS FLAGGED · LAST 7 DAYS
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
OPERATIONAL EFFICIENCY
14h 19m ↑ 1.7%
CAMERA UPTIME AVERAGE PER DAY
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
SENTINEL SPEAKER · LIVE ANNOUNCEMENT
“Quick standards check in zone 4 - let's pause and step down from the ladder. We'll set up safe access together.”
Skipped-step coaching session ready
Phoenix-CAM-04 · Sun 6/7/2026, 21:15:22 MST
COACHING CONTENT Generated by Chief
Observation
A required SOP step was skipped at Phoenix-CAM-04 at 21:15:22 MST during the evening shift, and flagged as a deviation from standard work - worth understanding before it repeats.
Discussion prompts
What made skipping the step seem like the quickest way to get the job done here?
What missing tools, time, or setup makes following the full standard hard?
What would need to change at this station so the step is always done in order?
SHARE
Microsoft Teams Slack Google Chat
01 Detect Set the standard - SOP steps, hygiene rules, clean-zone boundaries - then AI checks how work is actually done against it, live. 02 Act A skipped step or hygiene slip is surfaced the moment it happens - with an alert or in-the-moment prompt. 03 Coach Every deviation becomes a corrective action - coached, owned, and tracked to closed. 04 Track impact Every check and correction is logged - audit-ready proof on demand, with conformance trending up.
QUALITY YOU CAN PROVE Designed for Quality Assurance
Verify quality controls continuously - not just during audits. Intenseye captures objective evidence of hygiene, QA checkpoints, and handling procedures during everyday work, closing the visibility gaps between inspections.
Verify controls continuously
Objective evidence of hygiene, QA checkpoints, and handling procedures during everyday work, so teams gain confidence that standards hold during real production - not only when auditors are on the floor.
Reconstruct deviations with evidence
Event timelines and time-stamped video clips establish exactly what happened and when, giving QA teams confidence in root-cause analysis without relying on assumptions or recollection.
Reduce audit prep & review risk
Consolidated records and trend views replace manual evidence gathering, cutting audit-prep time and review risk. Audits move faster with clear, consistent documentation.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
ServiceNow QMS SafetyCulture QMS Sphera QMS Enablon EHS Cority EHS Intelex EHS VelocityEHS EHS Power BI BI Tableau BI
INTEGRATIONS · QMS, EHS & BI Connect quality data to the systems your teams already use.
Intenseye sends deviations, corrective actions, audit records, and quality trends into your QMS, EHS, and BI tools, so teams can manage issues, prove compliance, and track performance without manual updates.
Push deviations & corrective actions into your QMS automatically.
Land compliance & audit records in your EHS system of record.
Feed conformance trends into the BI dashboards leaders already watch.
Explore all integrations →
INDUSTRIES Where conformance & contamination matter most.
Food & beverage Hygiene, allergen changeover, contamination - conformance every shift. Explore → Pharma & chemicals Cleanroom integrity, gowning, and process sequence under GMP. Explore → Consumer goods High-volume lines where one skipped step scales fast. Explore → Paper & packaging Cleanliness and standard work across fast converting lines. Explore → Automotive Sequence-critical assembly where conformance is the spec. Explore →
Extends to Industrial Manufacturing Metals & Steel Warehousing & Distribution Building Materials Air Cargo & Logistics All industries →
FAQ Questions, answered.
Built for quality, EHS, and operations leaders. Still have a question?
Talk to our team →
How does AI help with quality and compliance?
It monitors how work is actually done vs the standard - SOP steps, hygiene, contamination, housekeeping - in real time on your cameras.
Does it inspect product defects?
Intenseye monitors people and process conformance, not automated product-defect optical inspection.
What does it watch?
Standard-work adherence, hygiene/contamination, housekeeping, cold-chain protection, and process presence.
Does it work with our existing cameras?
Yes - about 90% of IP cameras across 200+ brands; add Sentinel for gaps.
Do you use facial recognition?
No - anonymized, no facial recognition.
SEE IT ON YOUR FLOOR See what Intenseye can do for your operations.
Meet with our team to explore how Intenseye can help hold your quality standards, prioritize the checks that matter most, and bring real-time visibility to the areas where deviations are most likely to happen.
Book a demo →
Book a demo →

### Real-time AI safety & SIF prevention | Intenseye

URL: https://www.intenseye.com/solutions/safety/

SAFETY
Stop serious injuries before they happen.
Intenseye uses computer vision AI to detect SIF precursors in real time, from unsafe behaviors and hazardous conditions to worker-equipment interactions, so teams can act before serious injuries happen.
Book a demo →
SOLUTIONS FOR SAFETY What is workplace safety AI?
Workplace safety AI helps teams move from reactive incident investigation to real-time risk prevention. Intenseye uses computer vision to detect 50+ high-risk hazards , warn workers in the moment, trigger interventions when needed, and show where safety programs are reducing risk.
Audits & Inspections
Near miss reports
Behavioral observations
Predictive Insights
Corrective Actions
Visual Analytics
LAGGING LEADING
THE SIF PROBLEM You can't prevent SIFs with lagging data.
Serious injuries and fatalities often begin with recognizable patterns: line-of-fire exposure, falls, struck-by risks, caught-in hazards, and unsafe behaviors. Traditional safety programs usually see them after an incident. Intenseye detects the leading indicators in real time, so teams can act before someone gets hurt.
USE CASES ON THE FLOOR The Hazards We Prevent
50+ detections, organized the way safety teams think - from the hazard families most closely tied to serious injuries and fatalities. Pick a scenario to see what Intenseye watches, and why each one matters on a real floor.
Hazard families
Area & line-of-fire Vehicle–pedestrian Falls from height PPE compliance Ergonomics Housekeeping
Area & line-of-fire
Learn more →
See the line-of-fire moment the instant a person enters it.
Hazards detected
Restricted zone entry CRITICAL Person inside an exclusion zone during operation.
Under suspended load CRITICAL Worker beneath a lifted load - struck-by risk.
Caught-in / between CRITICAL Pinch-point proximity at moving machinery.
Edge / fall exposure CRITICAL Unprotected edge at height.
Vehicle–pedestrian
Learn more →
Stop the close call before it becomes a collision.
Hazards detected
Forklift–pedestrian CRITICAL Person in an active forklift path.
Over-speed MODERATE Vehicle above the zone speed limit.
Blind-corner approach CRITICAL Converging paths with no sightline.
Dock traffic conflict MODERATE Pedestrian among reversing trucks.
Falls from height
Learn more →
Detects work at height without protection - before the fall, not after.
Hazards detected
Work at height, no protection CRITICAL Working at height without fall protection.
Unprotected edge CRITICAL Person at an open edge or floor opening.
Climbing on equipment MODERATE Climbing racking or machinery instead of access equipment.
Unsafe ladder use MODERATE Improper ladder position or three-point-contact loss.
PPE compliance
Learn more →
Catch the missing PPE before someone walks into the hazard without it.
Hazards detected
No hard hat CRITICAL Head protection missing in an active work zone.
No hi-vis vest CRITICAL Unseen worker among moving vehicles.
No safety glasses MODERATE Eye exposure at a flying-debris task.
Gloves missing MODERATE Hand exposure on a cut/pinch line.
Ergonomics
Learn more →
Spot the strain that becomes a long-term injury - every shift, not once a year.
Hazards detected
High-risk posture · reba CRITICAL Trunk flexion past the safe threshold.
Heavy / awkward lift MODERATE Load handled away from the body.
Twist & reach MODERATE Repeated overhead twist-and-reach.
Repetition MODERATE High-frequency motion driving MSD risk.
Housekeeping
Learn more →
Find the slip and the blocked exit before the audit - or the incident - does.
Hazards detected
Spill on floor MODERATE Slip hazard on a walking surface.
Blocked egress CRITICAL Obstructed emergency exit route.
Trip hazard MODERATE Cables or debris across a path.
Clutter / obstruction MODERATE Walkway narrowed below safe width.
REAL-TIME PREVENTION From detection to action in seconds.
Intenseye connects hazard detection, worker alerts, machine intervention, corrective actions, and reporting in one closed loop, helping teams act on SIF precursors as they happen and track whether risk is going down.
Climbing · pSIF
PRIVACY BY DESIGN
Facial and body blurring
Dynamic masking
Timestamp anonymization
LIVE
Watching every camera, around the clock.
Stop it in the moment.
Turn each alert into a coaching moment.
Watch risk fall - and prove it.
INSIGHTS · ALL SITES
Risk is trending down - with proof.
POTENTIAL SERIOUS INJURIES AND FATALITIES (PSIF)
93 ↓ 11.4%
PSIF EVENTS · LAST 7 DAYS
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
OPERATIONAL EFFICIENCY
14h 19m ↑ 1.7%
CAMERA UPTIME AVERAGE PER DAY
May 11
May 18
May 25
Jun 1
Jun 8
Jun 15
Jun 22
Jun 29
SENTINEL SPEAKER · LIVE ANNOUNCEMENT
“Quick safety check in zone 4 - let's pause and step down from the ladder. We'll set up safe access together.”
Climbing coaching session ready
Phoenix-CAM-04 · Sun 6/7/2026, 21:15:22 MST
COACHING CONTENT Generated by Chief
Observation
A climbing behavior was detected at Phoenix-CAM-04 at 21:15:22 MST during the evening shift, and flagged as a potential SIF - a high-risk scenario worth understanding before it repeats.
Discussion prompts
What made climbing seem like the quickest way to get the job done here?
What missing access or equipment makes climbing tempting instead of a ladder or platform?
What would need to change in this zone so climbing is clearly never the option?
SHARE
Microsoft Teams Slack Google Chat
01 Detect AI watches every camera, 24/7, and flags the risks that lead to SIFs - with video evidence. 02 Act Stop it in the moment - speakers, lights, alerts, or a PLC hard stop. 03 Coach Every event becomes a ready-made coaching session for the crew involved. 04 Track impact Watch pSIF risk fall week over week - and prove the program works.
THE DIFFERENTIATOR Detection that intervenes.
Most safety AI stops at an alert. Intenseye acts - a spoken warning, a machine stopped in about 0.8 seconds, a corrective action that closes the loop. That's the difference between observing risk and preventing the injury.
Observe-only AI Just watches
Steps in
Detect
Hazard is spotted on camera.
Hazard is spotted - and the response starts instantly.
Respond
An alert is sent and logged for review.
A spoken warning - and the machine stopped in ~0.8s.
Follow-up
The shortcut continues. The injury can still happen.
A corrective action is created, owned, and tracked to done.
Outcome
Stops at a notification.
Prevents the injury.
YOUR CAMERAS OR OURS Flexible coverage for every environment
Sentinel Hub offers universal compatibility, connecting seamlessly with both Sentinel devices and your existing CCTV. Start fast with the setup you already have, and expand anytime with flexible options.
SENTINEL
YOUR CCTV
Core
Thermal
Depth
Dome
Bullet
PTZ
SENTINEL HUB PRO
ON-SITE AI
ServiceNow Enablon Intelex Cority Sphera Benchmark Gensuite VelocityEHS SafetyCulture
INTEGRATIONS Connect to the systems
your team already uses.
Stream real-time safety intelligence into your EHS platform, analytics tools, and daily workflows to keep every system aligned with the latest safety data.
Automate safety alerts, incidents, tasks, and analytics.
Embed AI safety observations into existing EHS workflows.
Surface the highest-priority risks automatically.
Track urgent concerns and emerging hazard trends at a glance.
Explore all integrations →
PROOF Safety leaders measure it in injuries that didn't happen.
▶
” It's not about the cameras.
It's about the people we send home.”
BOB MALIN
SVP of EHS & S, CRH Americas Building Products
Building products · multi-site North America
− 40 %+
TRIR cut - to roughly half, year over year
< 150
lost-time days a year - down from 600+
Half the injury rate in one year · 75% fewer lost-time days.
3.3 → 0
total incident rate (TIR)
100 %
of potential SIF risks eliminated
60% fewer vehicle–pedestrian interactions · zero lost-time injuries.
INDUSTRIES Deployed for safety across the highest risk industries
Industrial manufacturing Explore → Warehousing & distribution Explore → Food & beverage Explore → Automotive Explore → Metals & steel Explore → Building materials Explore → Chemicals Explore → Air cargo & logistics Explore →
FAQ Questions, answered.
Built for EHS and operations leaders. Still have a question?
Talk to our team →
What is AI workplace safety?
Computer-vision detection of the unsafe acts and conditions that cause SIFs, in real time, on your existing cameras.
How does Intenseye prevent serious injuries?
It detects the leading-indicator hazard as it happens, warns workers, can stop the machine in ~0.8s, and closes the corrective action.
What hazards does it detect?
50+ across area/line-of-fire, vehicle–pedestrian, falls, PPE, ergonomics, and housekeeping.
Do you use facial recognition?
No - anonymized, no facial recognition.
Does it work with our existing cameras?
Yes - about 90% of IP cameras across 200+ brands; add Sentinel for gaps.
SEE IT ON YOUR FLOOR See what Intenseye can do for your floor's safety.
Meet with our team to explore how Intenseye can help detect your top safety risks, prioritize the use cases that matter most, and bring real-time visibility to the areas where incidents are most likely to happen.
Book a demo →
Book a demo →

### Intenseye Legal

URL: https://www.intenseye.com/terms/

Intenseye Legal Information Hub
Legal
Master SaaS Agreement PDF →
Service Level Agreement PDF →
Data Processing Addendum PDF →
Gen AI Functionality Addendum PDF →
Hardware Addendum PDF →
Prior versions of these terms:
September 2025
Master SaaS Agreement
Service Level Agreement
Data Processing Addendum
Gen AI Functionality Addendum
Hardware Addendum

## Blog

### A Closer Look at Sentinel’s Physical AI Architecture

URL: https://www.intenseye.com/blog/a-closer-look-at-sentinels-physical-ai-architecture

This blog takes a closer look at Sentinel’s physical AI architecture and how it enables real-time safety in industrial environments. It explores how on-site processing, edge-based computer vision, and tight integration with operations allow teams to detect and respond to risk as it emerges, helping prevent serious…

AI has long helped EHS teams identify risks earlier and make faster decisions. Yet most systems still operate after the fact. In dynamic industrial settings, safety intelligence needs to live where work happens, at the intersection of people, machinery, and motion.
Physical AI addresses this gap by embedding intelligence directly into real-world operations. As Sentinel moves from concept to deployment, this blog takes a closer look at how its architecture enables real-time safety, connecting computer vision with site operations so teams can see, understand, and act on risk as it emerges.
‍
Built to Protect
Each Sentinel device interprets conditions such as heat, motion, proximity, and speed to build live awareness of what is happening on the floor. Instead of depending on manual observation or periodic reporting, Sentinel delivers continuous visibility across critical areas where risk can change quickly.
When unsafe activity or environmental change is detected, the system can issue alerts or connect with machinery to stop unsafe motion. This direct connection between detection and response allows teams to prevent incidents rather than only analyzing them afterward.
‍
The Sentinel Hub
At the center of the system is the Sentinel Hub , an on-site processor that powers all connected devices. It runs advanced computer vision models locally using the NVIDIA Jetson Orin NX , built for high-performance AI at the edge and NVIDIA DeepStream SDK for optimized streaming pipeline.
This local design removes the need for cloud processing, keeping latency to a minimum and ensuring that all data stays within the facility’s secured network. The Hub manages both Sentinel and existing site cameras, creating a unified network that combines new and legacy systems without major infrastructure changes.
Sentinel is ready to support the next generation of NVIDIA Jetson modules, which will increase throughput and efficiency for real-time video inference. This compatibility ensures that each Sentinel deployment continues to benefit from advances in NVIDIA’s edge computing platform.
‍
Real Results in the Field
In early deployments, Sentinel’s architecture has already shown measurable results. At Oldcastle APG, the team connected Sentinel to their existing PLC systems, allowing it to stop machinery when unsafe motion occurred. The result was a sharp drop in intervention time and a visible reduction in high-severity risks within weeks of activation.
“Even with great training and culture, you can’t guarantee everyone’s safety. With Intenseye’s Sentinel, we’re finally closing that gap.” — Bob Malin
The same architecture supports a range of real-time responses, from stopping equipment to triggering local audio warnings or notifying operators instantly. Teams can tailor how interventions occur based on their operational needs, without disrupting existing workflows.
‍
Privacy and Security by Default
Sentinel’s architecture is designed to keep data handling simple, local, and under customer control. Video is processed on site, with anonymization techniques such as face blurring and masking applied before any footage leaves the facility. Each model is trained only on the customer’s own data and is never shared or reused elsewhere.
Intenseye maintains SOC 2 Type 2 certification to ensure the system meets strict security and compliance requirements. Privacy and data protection are not added later, they are built into how Sentinel operates from the start.
‍
Building Toward Real-Time Safety
Sentinel reflects a broader shift in how organizations approach safety. Instead of reacting to what has already happened, teams can see and respond as conditions change. By embedding intelligence at the edge, Sentinel helps safety and operations teams work together faster and with greater confidence.
This is the foundation of real-time prevention, built on an architecture that brings safety directly into the flow of work.
Learn more at intenseye.com/products/sentinel

### A day in the life of an EHS manager

URL: https://www.intenseye.com/blog/a-day-in-the-life-of-an-ehs-manager

See how a day goes for an EHS manager who has streamlined EHS management with AI and leveled up the daily EHS operations.

Digital transformation is changing the face of manufacturing in almost every product category. Factories are increasingly digitizing their infrastructure and processes to upskill their operators and improve business performance. A key part of the manufacturing equation is the workforce that keeps facilities alive. So, what is digital transformation doing about employee health and safety? Although EHS is still largely governed by manual processes, a best-performing EHS manager is driving the culture change in their facilities today through the use of novel technologies.
In recent years we have worked with and met a wide variety of EHS teams in the industry. There is a particular segment of teams, pioneer EHS teams, that are steps ahead of their peers in terms of delivering best-in-class operational EHS success. What sets pioneer EHS teams apart is their willingness to source new technologies to overcome their daily challenges. This includes the use of video cameras to automate inspections, digital reporting services, and control room dashboards to orchestrate their time and workforce all with the goal of minimizing EHS risk across the board.
On a daily basis, pioneer EHS teams work closely with new technology integrators to bridge the gap between their IT teams, company management, and technology suppliers. They integrate new tools such as Intenseye on many different levels and adopt them quickly and broadly. Their agility is helping them to set up new workflows to reduce the time spent on a manual process and save money spent on absence time and insurance premiums significantly. Like other divisions in production, now these EHS teams are driving a more efficient workplace with new advancing technologies.
A typical day of a pioneer EHS team manager
‍
‍ To bring this topic to life, we wanted to give you a glimpse into the day of a pioneer EHS team member who we’ll call Mark. Mark is an EHS manager in a manufacturing company. After implementing Intenseye into his operations, here is how his day looks like:
08:00 AM
Before the toolbox talk, Mark logs into the Intenseye Dashboard to see the safety alerts from the previous day. Intenseye suggests that he focuses on Workplace Traffic Management because there was a very high number of critical Pedestrian Walkway violations that the Intenseye system automatically detected yesterday
08:30 AM
Mark hits the printout button on the Intenseye platform for some of the critical alerts and goes to the Toolbox Talk location. He starts a discussion with his team to review the Workplace Traffic Management alerts from previous days and shows the printed alerts to employees. Employees feel highly engaged as they can see what happened in their facilities, and they start thinking about solutions. From the discussions during the Toolbox Talk, Mark understands that the pedestrian walkway at the warehouse is not well located and goes to the area to have a closer look.
09:00 AM
After he visits the warehouse, Mark confirms that the layout of the pedestrian walkway indeed wasn’t good enough. He logs into the Intenseye platform, selects one of the alerts, and assigns a task to review the pedestrian walkway layout to Henry, Engineering Manager.
09:30 AM
Mark then starts to prepare for the weekly EHS meeting at 10:00 AM. He logs into the Intenseye platform to prepare his weekly slides. He goes to the Control Room tab and chooses which graphs and analyses he wants to share with the team. After that, he hits the export button, and his presentation is ready for his meeting. He feels like he deserved a good coffee now!
10:00 AM
Attendees listen to Mark very carefully and with lots of interest. They seem to be impressed with the information that Mark is presenting. At the end of the meeting, Mark shows the performance comparison of the locations in their facilities and the critical alerts about Workplace Traffic Management and Lifting Operations. Together they agree to hold a follow-up meeting tomorrow to identify the root causes of these critical alerts.
11:00 AM
Mark receives a notification from the engineering manager for the task he assigned to him earlier. The engineering manager sends a proposal for the new layout, which could address the issues identified by employees in the morning Toolbox Talk. Mark accepts the solution, and he gets immediate updates on Intenseye’s task management tool.
11:30 AM
The facility manager informs Mark about a safety critical Working At Height activity that will start at 12:00 am. Mark logs into the Intenseye platform and finds the camera for that location and sets his Working at Height rules so that Intenseye will monitor this event.
12:30 PM
Mark checks the alerts and he sees a critical Potential Dropped Object alert. He immediately calls the area supervisor to remove the hammer that was left outside the platform. Mark receives an Observation notification that says the hammer is removed and after 2 minutes the area supervisor calls Mark to say thanks for the heads up and to inform him that the hammer has been removed.
1:30 PM
Mark receives a notification on his mobile phone while he was having his lunch. Mark connects to the Intenseye live feed to find that the man is down. He immediately calls the emergency services.
1:35 PM
A medical ambulance arrives at the facility and directly goes to the exact location that is sent by the Intenseye platform. They take the injured person to the hospital as he is showing severe heat stress cause symptoms.
2:00 PM
Mark receives a call from the injured person who thanks him for the rapid medical emergency response, which prevented him from getting a heat stroke.
2:30 PM
Mark gets an observation report on the Intenseye platform, which says that the Working at Height activity is completed and he receives a quick analysis of the alerts for that particular activity. He reviews and amends the Working at Height Risk Assessment as he didn’t include the dropped objects on his risk assessment earlier.
3:00 PM
Mark receives a call from his EHS director to congratulate Mark for leading his facility to the highest Compliance Score amongst all other facilities of the company. Mark’s director also informs him about the Intenseye Award Ceremony that will take place next month as his facility is nominated among 100+ Companies for the Intenseye Excellence Awards. Mark’s facility reduced the alert frequency rates by 20% from last year, and its Safety Compliance Score moved up from 70 to 89. As a result, the business managed to reduce its insurance premiums by 10%.
3:30 PM
Mark visits the Intenseye Community Page to understand how the Spill use case can be set. He asks his question to the Community and one of the EHS managers of another company walks. Mark through the setup process.
4:00 PM
Mark gets the automatically generated daily EHS Report email from Intenseye. He shares some of the alerts with the area supervisors and assigns tasks for corrective actions.
4:30 PM
Mark finishes his work and feels great. He had a very productive day and managed a worksite through Intenseye’s integrated cameras while keeping tabs on what was happening across his entire facility.
To learn more about industry best practices, schedule a demo with us.
‍

### A day in the life of an EHS Supervisor with Intenseye mobile app

URL: https://www.intenseye.com/blog/a-day-in-the-life-of-an-ehs-supervisor-with-intenseye-mobile-app

Explore how to build agile safety management with Intenseye’s brand-new mobile app, centralizing fragmented safety operations with one tap.

Safety teams face daily challenges in industrial settings. They struggle to promptly identify and respond to hazards due to insufficient team members or resources, leading to an increased risk of accidents. Coordinating emergency responses, assigning corrective tasks , and sharing critical safety updates in real-time can cause delays, inviting even more serious risks.
Now, we are introducing Intenseye’s new mobile EHS application. Our platform’s AI-powered capabilities now extend to mobile devices, boosting operational efficiency and safety responsiveness for customers – particularly those who spend much of their workday on the plant, warehouse, or factory floor.
Empowering EHS teams with agility
Previously, we explored a day in the life of Mark , a fictional safety manager in an organization that had implemented digital transformation in their safety operations by adopting Safety AI software.
Let’s now explore a day in the life of Linda Wilson, an EHS supervisor at a manufacturing firm, to see how Intenseye’s mobile EHS app helps her take immediate action against hazards detected with AI, conduct inspections, and enhance communication with her manager & team on-the-go.
Morning routine: real-time notifications
Linda starts her day by reviewing the near-misses from the night shift, captured by Intenseye’s AI on her mobile. Today, she discovers that Intenseye’s computer vision AI has flagged a critical safety hazard: improperly placed equipment violating the boundaries of designated safety zones in the warehouse. Recognizing the potential danger, Linda bookmarks this alert in the app for her manager's review, ensuring it is prioritized for immediate action.
Mid-morning: task management and assignment
After Linda bookmarks the alert, her manager quickly reviews the flagged hazard and realizes the urgency. Using the Intenseye mobile EHS app, Linda’s manager creates a corrective task specifically addressing the misplaced equipment and assigns it to Linda and her team. Within minutes, Linda receives a notification about the new task. She begins the process of correcting the hazard with her team, ensuring everything is handled efficiently and according to safety regulations. This process ensures that each task is promptly addressed and eliminates the errors and delays often associated with manual task management.
Lunchtime: on-site incident reporting and documentation
During a routine walk-through, Linda uses her mobile device to document a safety observation—a tripping hazard in a high-traffic area. She photographs the hazard, tags the location, and files a report, all within minutes using Intenseye’s mobile EHS app. This immediate documentation helps ensure compliance and logs the corrective action.
Afternoon: performing safety inspections and audits
In the afternoon, it’s time for scheduled inspections and audits. Using the app’s mobile-optimized templates, Linda conducts thorough reviews, documents her findings, takes photos, and uploads them from her mobile phone directly to the system, ensuring all safety issues are accurately recorded and promptly addressed. “This is definitely much faster than conducting an inspection manually,” she thinks.
End of day: review and collaborate
As her workday nears its end, Linda reviews the tasks completed and the incidents reported throughout the day using the Intenseye mobile app. She uses the app’s toolbox talk feature to share notes and updates with her team and manager, ensuring all stakeholders are informed and any necessary follow-up actions can be planned efficiently. Linda’s proactive updates foster a culture of continuous improvement and safety awareness within her team. At 5 PM, Emma reviews the day’s safety performance on the app. With everything in order, Emma concludes her day, confident in the enhanced safety standards facilitated by Intenseye’s mobile EHS app.
With a day powered by Intenseye’s mobile EHS app, what was once a reactive process fraught with delays and errors is now a proactive, streamlined safety management operation. Intenseye’s AI-powered EHS management software has been pivotal in helping safety professionals address these challenges across more than 25 countries. Now, safety teams can receive real-time notifications and manage safety operations directly from their mobile devices, allowing them to take immediate action against detected hazards, conduct inspections on-the-go, and further optimize their safety operations from the floor, their offices, or anywhere.
Ready to see how Intenseye’s mobile EHS app can transform your safety operations? Contact us today for a demo and start leading the way in proactive workplace safety management.

### A guide to safer SaaS purchasing: Top 4 questions for CIOs to ask when evaluating computer vision AI vendors for EHS

URL: https://www.intenseye.com/blog/a-guide-to-safer-saas-purchasing-top-4-questions-for-cios-to-ask-when-evaluating-computer-vision-ai-vendors-for-ehs

Discover the 4 key questions CIOs must ask when choosing AI vendors for EHS, ensuring safer workplaces with smarter, ethical tech solutions.

As CIOs have continued to lead digital transformation initiatives across their organizations in recent years, computer vision AI technologies with environmental health and safety (EHS) applications have quickly evolved from relative obscurity into must-haves for workplace safety. The growing adoption of these solutions signifies amazing progress in closing the longstanding EHS innovation gap – but it also means that CIOs must now contend with far more prospective vendors (and, in many cases, far more confusing marketing claims) than ever before.
Choosing the right vendor demands careful consideration not only of technology capabilities but also of factors ranging from ethics to data management, to operational efficacy. Here are four key questions CIOs should ask prospective vendors to help guide their selection process:
1. Who sees our images and videos?
Why it matters: Transparency and security are paramount when dealing with sensitive data. It's essential to scrutinize whether the vendor relies on third parties for essential processes like data labeling. Any third parties involved must adhere to stringent security protocols to prevent data breaches – however, verifying this can be challenging, and third-party risk exposure will likely persist regardless.
Additionally, I've also seen firsthand the complications that can arise when third-party involvement delays the timely processing of hazard detection and alerting functionalities. Ensure your vendor has robust, direct control over data processing or – at the very least – ironclad agreements with all involved parties to safeguard data integrity and ensure operational responsiveness.
2. How do you ensure a diverse dataset and ethical AI practices?
Why it matters : The effectiveness and fairness of AI-driven solutions depend heavily on diverse datasets and ethical development standards. Diverse datasets should encompass a wide array of environmental conditions, equipment types, physical processes, and human factors, such as different skin tones, body sizes, and types of attire. This variety helps AI systems to be effective across various real-world scenarios and prevents biases that can arise from homogenous data.
What to look for in vendors
• Dataset diversity : Inquire about the origins of the vendor’s data. Effective vendors should source data from a variety of settings and conditions to ensure the robustness and adaptability of their AI models. Check whether they incorporate a broad spectrum of human-related factors and physical environments.
• Ethical AI practices : Determine how the vendor addresses privacy and ethical considerations. Look for use of anonymization techniques that protect individual identities without sacrificing the utility of the data. Transparency about data collection, usage, and storage is essential to prevent misuse and foster trust.
• Bias mitigation strategies : Ask about the vendor’s practices for detecting and mitigating bias. Vendors should demonstrate continuous efforts to evaluate and improve their models using fairness metrics and regular retraining with new, diverse datasets.
• Regulatory and ethical compliance : Ensure that the vendor adheres to industry standards and ethical guidelines, potentially overseen by an ethics committee or similar governance structures. This oversight helps guarantee that AI development supports a safe, productive, and trust-based workplace environment.
By thoroughly vetting potential vendors on these fronts, CIOs can ensure that the AI solutions they adopt not only enhance workplace safety but also do so in a fair and ethically responsible manner.
3. How many AI models can you scale per camera and per facility?
Why it matters: An often-overlooked yet reliable litmus test for an AI system is its scalability. For example, a technology that can allow a single camera to simultaneously detect the multiple types of hazards that may occur in its purview — such as PPE non-compliance, vehicle-pedestrian interactions, and restricted area access — will be more cost-effective and simpler to manage than multiple systems.
Scalability also involves considering bandwidth implications to ensure responsiveness as more functions, use cases, or other variables are added. The solution’s ability to adapt and integrate multiple AI models without compromising performance is key to ensuring 24/7 visibility into the full range of hazards to which your workplace is predisposed.
4. How do you validate accuracy after deployment?
Why it matters: Initial testing and continuous validation of accuracy are vital for the successful implementation and operation of any computer vision AI-driven solution. During rollout, it is normal for inaccuracies to emerge as the AI models adjust to real-world conditions and learn their environment.
Active involvement of users in reporting and addressing these inaccuracies is crucial. A vendor that encourages feedback and provides straightforward mechanisms for reporting issues and verifying accuracy demonstrates a commitment to partnership and continuous improvement. This collaborative approach helps the system evolve in line with the actual safety needs of your workplace.
Above all else, it’s important to remember that choosing the right computer vision AI vendor for your organization and EHS function requires rigorous evaluation of not only their technology but also their ethical standards, integrity, and commitment to operational excellence. This decision has profound implications that cannot be overstated – but with a detailed, informed approach, CIOs can ensure they identify and partner with vendors who are not just providers but true allies in the quest for a safer, healthier, and more successful workplace.
‍
‍

### A perfect intersection: Privacy by design and ethical AI

URL: https://www.intenseye.com/blog/a-perfect-intersection-privacy-by-design-and-ethical-ai

Privacy by design and ethical AI intersect in workplace safety. Learn how AI systems can protect worker privacy while helping keep frontline teams safe.

As AI technology continues to advance, ethical considerations have become paramount — especially in fields that directly impact individuals' daily lives, such as workplace safety. Privacy by design , a core concept under the General Data Protection Regulation (GDPR), requires that data privacy measures be embedded into technology from the outset — not retrofitted as an afterthought.
When implemented effectively, Privacy by Design aligns seamlessly with ethical AI principles, creating a powerful framework that not only ensures regulatory compliance but also builds systems that respect individual rights, increase transparency, and foster trust.
The intersection of privacy by design and ethical AI
The concept of Privacy by Design mandates that data privacy be integrated into every phase of product development. The goal is to create systems that are secure by default, limit data usage to the minimum necessary, and only for the stated purpose — thus preventing excessive data collection and mitigating privacy risks. Key principles include data minimization, purpose limitation, and robust security — each of which contributes to ethical data handling by limiting exposure to potential misuse.
AI ethics, on the other hand, encompasses a broader set of values to guide the development and deployment of AI technologies. This includes fairness, accountability, transparency, and the minimization of biases. Together, AI ethics and Privacy by Design establish a framework that prioritizes the rights and well-being of individuals affected by AI systems. The intersection of these two approaches ensures that AI technology not only complies with regulatory standards but is also responsible, transparent, and respectful of human autonomy.
Why the intersection of privacy by design and ethical AI matters
AI-powered workplace safety solutions have rapidly become essential in identifying hazards and preventing accidents. However, deploying AI in sensitive environments like workplaces often requires the collection of potentially sensitive data about employees’ activities — which raises privacy and ethical concerns. Integrating Privacy by Design with ethical AI principles is crucial to balancing safety goals with the protection of individual privacy and rights.
Transparency and accountability: Workplace safety AI systems must clearly communicate to employees what data is collected, why it is being collected, and how it is used. This aligns with GDPR’s transparency requirement and strengthens the ethical principle of informed consent — thereby promoting trust among employees and enhancing organizational culture.
Data minimization and purpose limitation: AI systems in safety settings should strictly limit data collection to information that directly serves safety objectives. By adhering to the principles of data minimization and purpose limitation, organizations can prevent excessive surveillance and avoid infringing on employee privacy — creating a fairer and less intrusive safety system.
Security and confidentiality: Given the sensitivity of workplace data, robust security measures are essential. Privacy by Design mandates secure handling and storage, ensuring that data is accessible only to authorized parties. Ethical AI reinforces this through a focus on maintaining the confidentiality and integrity of personal data, especially since breaches or misuse can lead to serious consequences for individuals.
Ethical surveillance boundaries: AI-driven safety systems should be designed to respect individual rights and autonomy, avoiding excessive monitoring and focusing instead on protecting employees from immediate hazards. Privacy by Design and AI ethics together help maintain this balance, ensuring that AI solutions fulfill their intended purpose without becoming intrusive or eroding employee trust.
Intenseye’s approach to privacy-centered, ethical AI in workplace safety
At Intenseye, we recognize that Privacy by Design and AI ethics are not just regulatory requirements but core principles guiding our mission. Our AI-powered workplace safety solutions are developed with a commitment to privacy, security, and ethics at every level. Here’s how we put those principles into practice:
Data minimization: Our system processes only the information necessary for real-time safety detection. For example, data not directly related to hazards is deleted immediately, ensuring we collect, store, and process only what is essential. This limits the risk of over-surveillance and aligns with GDPR’s core tenets.
Anonymization and pseudonymization: Intenseye integrates pseudonymization and face-blurring techniques to protect individual identities within safety-related data. This prevents our system from identifying specific employees, reducing privacy risks and reinforcing our ethical commitment to respecting individual privacy.
Strict data retention policies: In line with GDPR’s purpose limitation principle, we enforce strict data retention policies. Video data unrelated to safety incidents is promptly deleted, while data tied to safety concerns is retained only for a clearly defined period, balancing safety needs with privacy rights.
Encryption and secure storage: All data handled by Intenseye is encrypted both in transit and at rest. This ensures that sensitive information remains confidential and protected, meeting GDPR’s data security standards and supporting ethical data practices.
Transparency and clear communication: At Intenseye, we prioritize clear communication with both safety managers and employees. By openly sharing what data is collected, how it’s used, and what privacy safeguards are in place, we foster trust and ensure all stakeholders understand our approach.
Continuous privacy and ethics audits: We conduct regular privacy assessments and AI ethics audits to ensure our solutions remain compliant with GDPR and evolve alongside ethical best practices. This proactive stance demonstrates our commitment to high standards in responsible AI.
The essential role of privacy by design and ethical AI in workplace safety
Privacy by Design and ethical AI intersect through a shared commitment: treating individuals’ data and rights with respect at every stage of AI development and use. In the context of workplace safety, this intersection is especially important — it enables companies to protect workers from potential hazards while also safeguarding their privacy.
Privacy by Design ensures that data protection is built into the foundation of AI systems, while ethical AI reinforces principles like transparency, fairness, and accountability. Together, they provide a framework that allows AI to support safety initiatives without compromising employee trust or overreaching in data collection.
At Intenseye, our commitment to these principles means creating solutions that prioritize both safety and privacy. We do this through strong data minimization practices, anonymization and pseudonymization techniques, and strict data retention policies — ensuring that only essential, time-limited data is processed. Our systems are designed to clearly communicate data practices to safety teams and employees alike, promoting trust while ensuring compliance with GDPR, the EU AI Act, and broader ethical standards.
Through these efforts, Intenseye not only meets regulatory expectations but also helps set a new benchmark for AI that respects individual privacy while protecting workplace safety. We believe this is the path toward a safer, more ethical future for everyone.
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### AI in workplace safety: An EHS director’s perspective 

URL: https://www.intenseye.com/blog/ai-in-workplace-safety-an-ehs-directors-perspective

Check out our interview with Intenseye EHS Director Funda Sayın about the role of AI in workplace safety to learn more about AI's impact on EHS.

If you're considering adopting AI-powered EHS management software to streamline your workplace health and safety operations, be sure to check out our interview with Intenseye EHS Director Funda Sayın. Discover how AI effectively addresses the challenges in safety management.
Can you tell us about your background and how you got started in EHS?
Funda: I began my career in EHS with a background in chemical engineering and occupational safety. This background helped me understand the complexities of safety and compliance much better. Simply aligning with safety compliance isn’t enough to make a workplace safer and healthier—it’s just the first step. As a matter of fact, relying solely on compliance doesn't just foster a reactive safety culture; it also breeds complacency, which allows unseen risks to remain unseen.
My journey started at Medical Devices, where I managed quality assurance and product safety. Over the years, I’ve accumulated over 20 years of experience in various sectors, including 3rd party certification bodies, BPO, and e-commerce. My roles at organizations like Intertek, SGS and Amazon further honed my expertise in global regulatory compliance, risk and safety management, which has been instrumental in my current role at Intenseye.
Why did you choose to join Intenseye?
Funda: Let’s be honest: the safety plateau is a serious fact facing the EHS world. Sure, it’s great that accident rates have dropped compared to 50 years ago, but we still have a long way to go. The International Labour Organization reports that nearly 3 million people die from work-related accidents and diseases every year. These are people who just want to make it home safely.
On top of that, the stagnation in the decline of the total recordable incident rate (TRIR) highlights the urgent need for AI-powered solutions to identify and address safety hazards more effectively.
This is why when I heard about Intenseye, I wowed at the platform capabilities as a safety professional. The potential to make a tangible difference in protecting the frontline and setting new standards in safety management is incredibly motivating. After learning details about the innovative approach to EHS through AI technology, I became 100% sure that I want to take part in this journey.
When we compare manual observations to AI, there’s no question that AI comes out on top. It’s a solution that allows EHS professionals to focus on their core responsibilities, making it a powerful tool for mitigating hazards. So here I am!
What do you think are the top challenges facing EHS teams today?
Funda: In my experience working with EHS teams, one of the key challenges they face on a day-to-day basis is keeping up with rapidly evolving regulations. These regulations can vary significantly by region, industry, and even by specific job site, making it a constant effort to stay compliant. It’s not just about understanding new rules as they come out, but also about effectively implementing them across diverse work environments.
Plus, every industry, setting, or plant comes with its own unique hazards, which makes it essential for EHS teams to shift towards proactive safety management. While over 80% of workers are open to trying new safety technologies, companies are still hesitant to integrate these into their existing safety frameworks.
The hesitancy is not a surprise—many people are concerned that a new EHS technology might just lead to even more data. Sorting through all that information to find the insights you need for preventive actions and deciding where to focus can be really tough. A lot of leaders I’ve spoken with recently have shared how overwhelming and time-consuming it is to pinpoint leading indicators from the meaningful data coming in from diverse sites and regions.
So EHS teams are dealing with a lot of challenges. But the good news is, there are solutions too.
How can AI-powered data improve decision-making processes within EHS management and contribute to the continuous improvement of EHS practices?
Funda: The data AI provides actually has the potential to transform the old ways of safety as we know it. Each piece of footage AI captures has an interesting story behind it waiting to be unveiled.
For example, one of our customers, Koçtaş, leveraged the data we captured, immediately took action and saw an impressive 89% reduction in safety hazards related to missing hard hats. They really made the most of our platform, especially the task management module, to assign tasks effectively.
This led to the decision to hold a toolbox talk on the importance of hard hat usage. By leveraging the task management module, Koçtaş also managed to get the frontline team actively involved in the safety process, which helped foster a behavior-based safety culture across the warehouse.
Learning from leading indicators is a very engaging way to prompt conversation and facilitate learning to identify and address issues systematically because AI can provide objective, accurate, real-time data.
Instead of relying solely on lagging indicators, safety teams can analyze patterns, frequencies, and root causes of safety incidents with leading indicators. And understanding these patterns enables safety teams to develop targeted training programs and implement corrective & preventive actions, effectively addressing high-risk behaviors.
This way, safety teams can allocate more time to value-adding tasks, establish robust safety measures, and achieve both time and resource savings.
How do AI and computer vision ensure a shared EHS culture across the organization?
Funda: Computer vision AI offers real-time feedback on the effectiveness of safety measures, helping identify which strategies are most effective across different sites and cultures, while also uncovering systemic issues that could heighten the risk of future incidents.
These real-time safety insights foster alignment on safety strategies and ownership from both frontline workers and management, thanks to their objective nature. This data-driven approach bridges the gap between planned safety procedures and actual practices, as well as strengthens the connection between frontline teams and leadership.
Another important aspect of our AI is that, with features like 3D anonymization, Intenseye’s AI doesn't track people—it tracks unsafe conditions and safety hazards. The data we collect is never used to pinpoint employees but rather to cultivate a strong, unified safety culture.
When we look at the bigger picture, it’s obvious that a shared EHS culture isn’t just about one site—it’s a company-wide responsibility. Intenseye’s Safety AI software recently introduced the Global View feature, which provides a holistic view of data across all your global facilities, allowing you to monitor global safety metrics in real-time. This unifies safety teams around the world, ensuring everyone is on the same page in terms of awareness and action.
Q: Do you have any advice for organizations to stay updated with the latest EHS regulations and ensure compliance?
Funda: The foundation of any effective safety initiative and to ensure compliance is risk assessment. Risk assessments involve:
• Identifying potential hazards in the workplace
• Evaluating the risks they pose & root causes
• Implementing corrective actions and solutions to mitigate them
Plus, I should recommend regular audits and reviews of compliance practices to ensure that organizations stay aligned with current regulations. And of course there are some resources to stay up-to-date with the regulatory changes like US CFR , EU Directive , AUS Regulations
By adopting Intenseye you can conduct a solid risk assessment and streamline your safety operations in one single platform.
What are the most urgent needs for EHS teams in safety management today?
Funda: EHS teams face significant challenges in managing and analyzing safety data. Safety leaders are overwhelmed by an influx of spreadsheets, PDFs, emails, and manual logs from various locations, which makes data collection a lengthy process. Gathering key safety indicators is particularly difficult. On average, safety teams spend up to three weeks preparing for quarterly reviews, and over half of organizations struggle to obtain the right data to support effective safety programs. These delays hinder decision-making and prevent teams from being proactive.
Feedback from operations and frontline leaders is consistent—they don’t require more data or complicated dashboards. What they truly need are real-time insights that enable quicker, smarter decisions.
What are your thoughts on the future of workplace safety technology, and how do you see us leading the way?
Funda: The future of workplace safety technology is very promising, with AI and ML driving significant advancements. I believe that Intenseye has the potential to lead the way by continuously innovating and setting new benchmarks in safety management.
Can you share a fun or lesser-known fact about yourself?
Funda: A lesser-known fact about me is that I have a passion for home planting. There are giant wild cacti, monstera deliciosa, strelitzia regina at my home. Hubby makes fun of that, saying they will seize the house soon And we also enjoy experimenting with cocktail recipes from different cultures and sharing with friends. I find that it is not only a creative outlet but also a great way to unwind and explore new perspectives as a team, much like how I approach problem-solving in my professional life.

### An ethical approach: Human-AI collaboration in workplace safety

URL: https://www.intenseye.com/blog/an-ethical-approach-human-ai-collaboration-in-workplace-safety

As AI technologies continue to evolve, collaboration between humans and AI is becoming a key part of improving workplace safety and operational performance.

As AI technologies continue to evolve, collaboration between humans and AI is becoming a key part of improving workplace safety and operational performance. Instead of seeing artificial intelligence (AI) as a replacement for human roles, it’s more effective to view it as a tool that supports human judgment and helps drive better outcomes—especially in high-risk environments.
In safety-critical areas, human experience and intuition remain essential. When AI tools are developed and used with ethical principles in mind, they can become strong partners in building safer, more responsible workplaces.
At Intenseye, we prioritize using AI as a support tool rather than a decision-making authority. Here’s how we balance innovation and responsibility through thoughtful human-AI collaboration.
The risks and legal implications of automated decision-making in safety
Automated decision-making can bring efficiency, but in high-stakes areas like safety, relying on AI alone can present ethical and legal challenges:
Legal accountability
When decisions are made entirely by AI, accountability can become blurred. Legal frameworks like the EU AI Act emphasize that humans must remain responsible for AI-driven decisions, especially in contexts impacting rights and safety.
Intenseye’s AI flags risks and provides insights but leaves the decision-making process to experienced safety professionals, ensuring clear accountability.
Regulatory compliance
Various regulations, such as the EU’s General Data Protection Regulation (GDPR) and Occupational Safety and Health Administration (OSHA) regulations, require transparency and accountability in safety-related data processing.
Intenseye adheres to these regulations by ensuring our system is explainable, documenting the AI’s reasoning, and maintaining human oversight to keep decision-making in the hands of safety professionals.
Mitigating liability
Automated decisions without human review increase liability risks. If AI misinterprets data or produces false positives while making an automated decision, companies could face legal challenges.
Intenseye minimizes these risks by providing real-time data insights rather than taking autonomous action, allowing professionals to make contextually appropriate responses and reducing potential liabilities.
Importance of AI assessment and human control
As AI systems become more integrated into workplace safety, accountability and oversight become crucial elements to ensure ethical and effective use. For AI tools to genuinely support human teams in high-stakes environments, they must be regularly assessed, controlled, and explained to end users in clear terms. The following sections break down essential practices—continuous AI assessments, human oversight in decision-making, and transparency in AI outputs—that serve to anchor AI in responsible frameworks, minimizing risks while maximizing its benefits for workplace safety.
Continuous AI assessments for accuracy
Regular assessments of AI systems are vital to ensure their reliability, fairness, and effectiveness, particularly in safety-sensitive applications. Continuous AI assessments involve systematically reviewing an AI’s performance, checking for any biases, and verifying that the AI is accurate in detecting hazards without compromising quality. These evaluations are essential because they ensure that the AI remains aligned with organizational safety goals and does not diverge over time, which can lead to inaccuracies or unintended consequences.
At Intenseye, we conduct routine assessments of our AI to ensure it remains accurate and dependable in hazard detection. By closely monitoring our system’s performance, we can address any biases or discrepancies promptly, maintaining the quality and reliability of the data our AI generates. This practice not only supports workplace safety goals but also strengthens trust in the system’s output.
Human oversight in high-stakes decisions
Human oversight is an essential safeguard in any AI system, particularly for applications in workplace safety, where the stakes are high and decision-making must account for complex, real-world nuances. AI can process data quickly and detect patterns, but it lacks the context-sensitive judgment that humans bring to critical decisions. Human oversight means having experienced professionals review and interpret AI-generated insights before taking action, ensuring that every response is contextually appropriate and ethically sound.
Intenseye prioritizes human control by giving safety managers the authority to evaluate and act on the data provided by our AI system. Our approach ensures that while AI can flag potential hazards or risks, the final judgment and actions are made by experienced safety professionals who understand the intricacies of their specific environments. This collaboration allows AI to function as a valuable advisory tool without sidelining human expertise.
Transparency in AI decision support
Transparency in AI-generated recommendations is critical for accountability and user trust. This involves making the AI’s decision-making process understandable to end users, so they know why certain alerts or insights were flagged. By providing clear explanations for each alert, safety teams can make informed decisions with full awareness of the AI’s logic and potential limitations. Transparent AI systems empower users to trust the insights they receive and act confidently, knowing the underlying rationale.
To foster transparency, Intenseye’s platform offers detailed explanations for each AI alert, enabling safety teams to understand the basis for every recommendation. Our system provides insights in a clear, accessible manner, reinforcing user confidence and promoting a cooperative environment where AI insights and human expertise work together effectively. This commitment to transparency helps safety professionals act on AI data responsibly, ensuring an ethical and reliable approach to workplace safety.
How Intenseye balances innovation and responsibility
Intenseye is committed to empowering human judgment rather than supplanting it. Here’s how our system fosters responsible AI use:
• AI as a Decision-Support Tool: Intenseye’s AI highlights risks and provides insights that safety managers can use to make informed, human-led decisions. This approach ensures that AI supports managers without dictating actions, maintaining ethical integrity and compliance.
• Documentation and Clear Audit Trails: Each AI alert is documented, creating a clear audit trail for accountability. Safety managers can review the system’s assessment, document actions taken, and maintain transparency for regulatory audits, aligning our practices with legal standards and ethical responsibility.
• Adaptation and Flexibility for Safety Needs: Our system is designed to adapt to specific environments and safety requirements, allowing safety managers to interpret alerts within their unique workplace context. This flexibility allows AI to act as an adaptive partner, providing information without rigidly prescribing responses.
An ethical approach to AI-powered workplace safety
Incorporating AI into workplace safety demands a careful balance between technological innovation and responsible use. Key considerations include maintaining transparency in AI operations, ensuring human oversight in decision-making, and upholding accountability at every level. AI can enhance workplace safety by providing valuable data and insights, but ethical and operational integrity require that these systems remain tools to support human expertise—not replace it. Ultimately, AI should empower safety professionals to make well-informed, context-sensitive decisions that prioritize employee welfare and compliance with regulatory standards.
Intenseye’s approach embodies these principles by treating AI as a decision-support tool rather than an autonomous decision-maker. Our system is built to enhance human judgment with actionable insights, while our practices ensure human control, transparency, and adaptability. Through rigorous AI assessments, clear documentation, and ethical oversight, Intenseye aligns innovation with responsibility—equipping safety professionals to lead safer, more compliant workplaces with confidence. In this way, we demonstrate that AI, when applied thoughtfully, can be a catalyst for positive change, supporting a safer future rooted in human expertise and ethical standards.
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### Breaking the safety plateau with AI

URL: https://www.intenseye.com/blog/breaking-the-safety-plateau-with-ai

The safety incident rate has been declining for decades but has slowed in recent years. Read our blog to learn how to break this safety plateau!

Recently, our team at Intenseye has been encountering a recurring theme in discussions with EHS teams worldwide: a noticeable stagnation in safety performance metrics, commonly referred to as the safety performance plateau. This issue has become increasingly prominent, reflecting a widespread concern across various industries.
This plateau is not just a statistical anomaly; it represents a barrier to further progress in reducing workplace accidents and fatalities.
Safety professionals have tried their best, but traditional methods may not be cutting it anymore. It shows that while they've helped before, with workplaces changing, we need modern ways to keep workplaces safe and ease the burden of EHS teams.
Embracing the technology for safer workplaces
Historically, workplace safety has seen transformative shifts from the perilous conditions of the early Industrial Revolution to the establishment of OSHA in 1971, which led to a significant decrease in workplace fatalities and injuries.
For example, before OSHA's establishment, the U.S. saw approximately 14,000 workplace fatalities annually, a number significantly reduced in the following decades​​​​. However, while these strides in legislation and policy have dramatically reduced incidences, the decline in workplace accidents and fatalities has plateaued in recent years.
For instance, in the US, the total recordable incident rate (TRIR) has declined from 5.0 in 2003 to 2.8 in 2018, but the rate of reduction has been much slower in recent years .
Despite rigorous standards and compliance checks, critical areas such as fall protection , hazard communication, and respiratory protection remain among the most frequently violated OSHA standards​​. The Bureau of Labor Statistics (BLS) reports that in 2020, 4,764 workers died on the job, with transportation incidents, and falls, slips, and trips accounting for nearly half of these fatalities.
All of these statistics showcase why organizations shift to the "root cause" method for workplace safety as explained by the BLS. This method focuses on finding the main reasons for workplace accidents by investigating the core reason further.
It involves understanding the sequence of events, and frequency of incidents, assessing the severity, and identifying contributing factors. This method aims to go beyond superficial fixes and address the root causes leading to injuries and fatalities ​​.
This plateau signals a clear message: while compliance with existing standards is crucial, it is not enough. The changing dynamics of the modern workplace, including the introduction of new technologies and materials, necessitate a dynamic and innovative approach to safety management.
Warning signs of the safety plateau
Within the wider industry perspective, a safety plateau is noted when the collective safety performance among different organizations attains a specific level and halts any further advancement. While initially achieving a high level of safety performance is commendable, maintaining this status quo poses significant risks. Christian Harris outlines the 4 dangers associated with a safety plateau in the industry :
Complacency
Organizations may fall into complacency as the industry attains a notable level of safety performance. This complacency fosters a false sense of security, diminishing vigilance toward identifying and mitigating potential safety hazards. Consequently, employees are left vulnerable to risks and accidents.
Even though all recovery measures have been taken, an approach that does not focus on control measures and the root cause of safety incidents is doomed to fail. In a workplace where all training is regularly conducted and precautions are taken against various risks like PPE detection, individuals inevitably become complacent.
This highlights that management must think differently through the various phases of the safety journey.
Stagnation
Organizations entrenched in a safety plateau fail to recognize the necessity of continual improvement. Without proactive efforts to enhance safety protocols and procedures, the industry's overall safety performance can stagnate. This lack of progress increases the likelihood of accidents and compromises employee well-being.
Moreover, in an environment of stagnation, the organization not only jeopardizes the safety of its workforce but also risks losing its competitive edge. As competitors evolve and adopt more advanced technologies, stagnant organizations fall behind, facing increased operational costs, extra lost time, and potential reputational damage.
Therefore, embracing a culture of continuous improvement isn't just about meeting regulatory requirements; it's about safeguarding the organization's future viability and maintaining its position as an industry leader.
False sense of security
A false sense of security is when a person feels safe or secure in a situation, but the perception of safety is not based on accurate or reliable information
The industry, when stuck in a safety plateau, may mistakenly believe that current safety measures are adequate. This false sense of security can be particularly fatal in environments prone to high-risk operations. Failure to acknowledge existing vulnerabilities leaves organizations ill-prepared to prevent potential safety incidents.
In such situations, we often observe that safety measures are reactive, meaning that they are implemented in response to incidents or near-misses, with reporting occurring after the incident. Moreover, there is a tendency to accept recurring risks as normal conditions.
Surrendering to the status quo can create a comfort zone, which, from a safety standpoint, is concerning because as humans, we tend to prefer staying within our comfort zones.
Risk of unseen incidents
Despite prior achievements in safety performance, the industry remains susceptible to safety incidents when trapped in a safety plateau. Without proactive measures to address evolving risks and challenges, the likelihood of accidents persists. This ongoing risk underscores the urgency for proactive interventions to safeguard employee safety.
Move beyond the safety plateau with AI
EHS teams juggle numerous tasks every day, including incident reporting, implementing safety programs, conducting safety audits, toolbox talks, meaningful interpretation of data, safety checklists, compliance efforts, and establishing communication between frontline workers and management.
At the same time, only a few EHS professionals attempt to identify risks in facilities where thousands of people work, many of which are unseen. Intenseye's safety management software is a robust set of EHS analytics, task management, incident reporting, and compliance tools built to equip safety teams to save time, money, and lives through data and efficiency.
Another thing to break the safety plateau is transitioning from traditional lagging indicators to real-time leading safety indicators for sure. While lagging indicators offer retrospective insights, leading indicators provide proactive measures for enhancing workplace safety.
Convincing organizations to adopt this approach necessitates a cultural shift towards proactive safety leadership, as highlighted by Intenseye's experience with a flagship facility.
By deploying Intenseye's real-time analytics, organizations can detect and reduce critical unsafe acts & conditions 24/7, prompting a company-wide integration of the technology.
This shift towards leading indicators not only prioritizes safety initiatives but also fosters a shared safety culture, bridging the gap between frontline teams and management. Furthermore, AI-powered safety management software empowers EHS teams by automating processes, tracking KPIs in real-time, and engaging stakeholders more effectively, ultimately driving continuous improvement and enhancing workplace safety.
While past efforts in workplace safety have been commendable, the persistent plateau in safety performance metrics underscores the need for a new direction. Intenseye embodies this new frontier, offering innovative solutions that not only complement but enhance traditional safety measures. It's time to move beyond compliance and embrace a future of safety management where workplace accidents are not just reduced but addressed from the very beginning.
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### Call to action: A new era for workplace safety

URL: https://www.intenseye.com/blog/call-to-action-a-new-era-for-workplace-safety

Explore how to challenge your safety status quo and improve your workplace safety with AI-powered EHS management software!

Today, I bring you news of our latest fundraising round. But this isn't just another funding update. It's a challenge to the traditional views on workplace safety and a declaration of our commitment to change the landscape.
We've raised $64M in our Series B funding round, led by Lightspeed Venture Partners. Our existing investors, Insight Partners, Point Nine Capital and AirStreet Capital who have been with us on this journey, continue to express their confidence in us by participating in this round. Their unwavering belief in our mission is a testament to the impact we're making and the potential for even greater change.
Challenging the status quo
In today's world, we are increasingly conscious about the social impact of our purchases. We ask if our products are cruelty-free, if they're eco-friendly, if they're ethically sourced. But how often do we ask: Are the people who made this product safe at their workplace?
Workplace accidents claim nearly 3 million lives every year. That's 4% of global deaths, and yet, we call them 'accidents.' These are not accidents, but the repercussions of outdated safety measures and a lack of real-time, proactive solutions. This is the harsh reality we are challenging at Intenseye.
For far too long, the safety of people has relied on culture or pen-and-paper processes. This is akin to expecting a plane to stay in the air based on the safety culture of the crew, ignoring the systems, data, and real-time tracking that actually keep it aloft. Recognizing this, we created Intenseye, arming safety teams with the tools they need to protect thousands of people in their facilities, even with limited resources.
The future of workplace safety
Reflecting on the past year, it's clear that Intenseye's mission to transform workplace safety with AI has resonated globally. With our platform detecting an impressive 36 million unsafe acts and conditions across 25 countries, turning them into actionable insights for safety teams, we've made significant strides in our journey. We've expanded our footprint by 125%, a testament to our unique approach and the critical need for change in this space.
We've had the privilege of forging partnerships with industry-leading insurers, prominent cloud and EHS technology vendors, and a host of respected software and hardware providers. These collaborations underscore the universal importance of our mission.
Our reach has grown exponentially, now encompassing hundreds of sites across more than 30 industries in over 25 countries. But it’s not just about the breadth of our reach, it’s about the lives we're touching - over 100,000 workers worldwide now operate in safer environments due to our efforts.
Now, we're ready to show the world how a shift from lagging to real-time leading indicators in workplace safety can revolutionize the industry and save millions of lives worldwide. With this mission in mind, we've raised our Series B funding round with the world's best investors backing us once again.
We plan to use these funds to bring the power of large language models to safety teams, further our commitment to ethical AI by ensuring our technology fosters psychological safety for frontline teams, and continue earning the trust of the industry's best safety teams.
We are not just aiming for incremental improvements, but a complete disruption of the status quo. Our vision is to create a world where workplace safety is not an afterthought but a fundamental part of every organization's ethos. This transformation will not happen overnight, but we are committed to making it a reality, one facility, one location at a time.
Unmatched conviction
During the fundraising process, Alex Kayyal and his team at Lightspeed Venture Partners showed an unmatched conviction in our mission. They rallied behind our vision, understanding the critical need for a paradigm shift in workplace safety. Their support has given us the acceleration to drive our mission further and faster.
But today's announcement isn't just about the funding. It's about what we aim to do with it. It's about our relentless pursuit to save lives by transforming workplace safety. It's about challenging the status quo and refusing to accept that 3 million lives lost to workplace accidents every year is normal.
A thank you and a challenge
We're excited to embark on this journey and extend our deepest gratitude to our investors and partners for their unwavering support. The road ahead is challenging but, with our grit, innovation, and dedication to excellence, we are confident in our ability to lead this transformative shift in workplace safety.
To those who have joined our journey to zero, we say thank you. To those still on the fence, we challenge you to join us. Together, let's make the world a safer place.

### Catalzying EHS transformation in leading safety indicators

URL: https://www.intenseye.com/blog/catalzying-ehs-transformation-in-leading-safety-indicators

Learn how AI can transform EHS by shifting from lagging to leading safety indicators, improving safety risk management and proactive EHS measures.

“Today, EHS practitioners continue to rely on injury rates, absenteeism, and other lagging metrics despite the growing acceptance of the fact that these failure-focused measures are ineffective in driving continuous improvement efforts. Leading indicators, on the other hand, appear to offer a more useful gauge of EHS activity by providing early warning signs of potential failure and, thus, enabling organizations to identify and correct deficiencies before they mature into accidents and injuries.”
— Campbell Institute, Transforming EHS Performance Measurement Through Leading Indicators
Striking the balance between lagging and leading indicators
We’re in the midst of an EHS transformation — and the good news is that the speed of it is in good shape. Just like the shifting mindset from safety work to safety of work , the way EHS professionals approach safety indicators has come a long way.
With their long history of use, lagging indicators have been valuable for identifying trends in past performance and have become an accepted benchmark standard both within and across industries. Yet, lagging indicators tell just one part of your safety story.
When observing a low injury rate, managers might grow complacent, relegating safety to the bottom of their priorities. However, this perception overlooks the numerous workplace risk factors that could potentially lead to future injuries, illnesses, or fatalities.
On the other hand, leading safety indicators measure events leading up to injuries, illnesses, and other incidents, allowing you to forecast potential risks in your safety and health program.
Achieving a balance between leading and lagging indicators is essential, yet only 27.8% of organizations have managed to do so .
To grasp what lies ahead, it is crucial to comprehend the obstacles that have prevented safety teams from genuinely transforming EHS with leading indicators, specifically the challenge of scaling and operationalizing these indicators in their day-to-day tasks.
The burden of administrative tasks
Done right, your EHS data enables corrective actions in your safety operations and puts you in a position to mitigate risks effectively. However, a typical day for EHS teams is becoming overwhelmed with administrative tasks — between conducting inspections and audits and reporting incidents. Furthermore, scrambling to derive meaningful insights from disjointed data hampers EHS teams' ability to focus on which risks they should prioritize, creating barriers in decision-making processes.
Additionally, the administrative burden in EHS prevents safety teams from taking a unified view of their safety performance. This leads to disjointed data that is not actionable on its own and focuses solely on ensuring regulatory compliance. Managing huge amounts of administrative resources to collect data, diversifying workflows, and expanding teams without sacrificing performance are not a piece of cake.
Highly successful EHS transformations typically require scalability to adapt easily to the changing conditions of a facility, empowering the EHS team to gain a retrospective look at their safety performance based on lagging indicators. But the question of how to precisely identify areas within an EHS program that need improvement and to what extent inevitably leads us to dive deep into the leading indicators.
Top leading indicators to consider
Firms seeking to scale and operationalize leading indicators should consider OSHA’s recommended best practices to reach a more proactive safety approach based on historical data. Here are the OSHA’s recommended practices:
• Collect existing information about workplace hazards: Gather past records and data to identify existing hazards in the work environment. ‍
• Inspect the workplace for safety hazards: Conduct regular inspections to detect potential safety risks in the workplace.
• Identify health hazards: Evaluate workplace conditions to uncover any factors that could negatively impact employee health and safety.
• Conduct incident investigations: Analyze past incidents to understand their root causes and prevent recurrence.
• Identify hazards associated with emergency and non-routine situations: Assess risks tied to unexpected or infrequent scenarios to enhance preparedness.
• Characterize the nature of identified hazards, identify interim control measures, and prioritize the hazards for control: Categorize hazards by severity, implement temporary safety measures, and focus on controlling the most critical risks first.
Since capturing leading safety indicators in real time requires high visibility into EHS operations, this task is almost impossible for EHS teams still working with traditional methods.
High volumes of data can hinder safety teams from focusing on the most critical risks and operations. Therefore, when selecting your leading indicators as suggested by OSHA, we recommend considering these three metrics that can be provided by AI-powered EHS management software.
Best practices to leverage leading safety indicators
Without a holistic view of these leading indicators, leveraging their predictive capabilities and taking meaningful corrective actions becomes quite challenging.
Fortunately, there are practices to follow that can transform leading indicators into truly useful tools. By applying these practices, you will not only effectively utilize leading indicators but also gain the ability to catalyze the transformation of your EHS operations.
Employ safety score
Your team consistently strives to enhance safety within your organization, dedicating considerable effort to implementation. However, the challenge lies not in executing these initiatives, but rather in quantifying their efficacy and conveying tangible results to higher management.
Like many safety teams, you likely encounter difficulties in this endeavor, despite conducting regular safety audits. While audits offer valuable insights, they often fail to paint a comprehensive picture or adequately tangibly showcase data.
Rather than solely relying on safety audit checklists, you can get a more nuanced portrayal of your data through a safety scorecard.
Safety score card
By actively tracking your safety performance, equip yourself with a safety scorecard that enables real-time tracking of progress. Whether it's assessing developments on a weekly, monthly, or yearly basis, this scorecard offers insights into your journey.
Moreover, scorecards surpass basic audit checklists by providing assessments that consider the spectrum of outcomes, moving beyond mere pass-fail evaluations.
Set SMART KPIs
Leading indicators show you which corrective actions you need to take, implying the establishment of a series of new targets. OSHA emphasizes the importance of setting SMART targets that are Specific, Measurable, Accountable, Reasonable, and Timely:
• Specific: Are your leading indicators specific enough to allow you to take corrective actions aimed at reducing safety hazards or indicating areas where improvements are needed?
• Measurable : Is your leading indicator quantifiable, represented by a number, rate, or percentage that enables the monitoring and assessment of safety trends over time?
• Accountable : Does your leading indicator track a relevant item aligned with your safety goals?
• Reasonable: Is the goal set for your leading indicator realistically attainable?
• Timely: Are you tracking your leading indicators frequently enough to detect significant trends within your preferred timeframe?
Use artificial intelligence
Perhaps the most important best practice is leveraging the power of AI: leading indicators go beyond reporting past events or near-misses. Hundreds of unsafe acts and conditions that occur daily can serve as leading indicators for EHS teams.
AI has the capacity to equip an EHS professional, who previously relied solely on observation and manual documentation, with the ability to capture leading indicators 24/7 and classify them based on duration, frequency, or severity.
AI-generated leading safety indicators in action
Intenseye's AI captures all safety risks and provides a comprehensive view of leading indicators. Organizations gain visibility into all their facilities through AI-generated leading indicators, which offer clear, quantifiable metrics based on the duration of risk exposure for unsafe acts and the frequency of unsafe conditions.
These metrics enable EHS professionals to measure and track safety performance over time, facilitating more data-driven and justified decision-making.
Heineken Mexico utilized Intenseye's artificial intelligence to establish a unified safety culture across all of its factories. By collecting unbiased leading indicators, our AI has empowered their EHS teams to streamline their task management processes, resulting in significant advancements in their safety performance.
The words of Miguel Ángel Aguilera Rodríguez, Heineken's Head of Supply Chain Digital & Technology, highlight the direct impact of Intenseye's AI-powered EHS management software:
“By equipping us with real-time insight into leading indicators, the platform helps us drive proactive improvements that mitigate risks facing our frontline teams”
Identify critical hazards before they turn into accidents
As we navigate through the landscape of EHS transformation in leading safety indicators, where progress is steadily gaining momentum, it becomes evident that achieving a scalable solution is paramount.
While the pace of our journey is promising, it's essential to recognize that true scalability requires more than just speed. It demands innovation, adaptability, and a forward-thinking approach to effectively address the evolving challenges of safety management.
At the forefront of this transformation is Intenseye's AI-powered EHS management software. Intenseye enables organizations to capture, analyze, and respond to leading safety indicators in real-time, providing actionable insights that drive continual improvement and proactive risk mitigation.
Through its advanced AI capabilities, Intenseye empowers EHS professionals to optimize processes, elevate safety standards, and safeguard frontline teams from potential hazards. To better understand how to leverage safety with Intenseye explore our Leading Indicators feature now !
Resources
• Alberta, Leading Indicators for Workplace Health and Safety: a user guide
• Campbell Institute, Transforming EHS performance measurement through leading indicators
• OSHA , Leading Indicators
• OSHA , Using Leading Indicators to Improve Safety and Health Outcomes
• University of Nottingham , Leading Safety
• Intenseye , A day in the life of an EHS manager
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### EHS & ESG: Are we finally getting it right?

URL: https://www.intenseye.com/blog/ehs-esg-are-we-finally-getting-it-right

Discover why companies are shifting from ESG dashboards to real-time EHS action — and how safety teams are driving true sustainability impact

Lately, we are hearing a lot about corporations quietly ditching their ESG initiatives. People outside the industry point to the same reason: Political shifts.
But can it really be that simple?
Operations and sustainability leaders have much better reasons. They’ve spent years and billions on ESG dashboards, carbon tracking, and corporate reports. And yet, the same question lingers: Is any of it truly making an impact?
Here’s the hard truth: You don’t change the real world by looking at pretty software charts. Every company now understands that operationalization of data is what actually drives impact. And that starts on the shop floor.
So how do companies do this? It’s simpler than you think:
• Right data: If you can’t measure it in real time, you can’t fix it. Whether it’s safety risks, emissions, or compliance gaps, AI and sensors must surface issues before they escalate.
• Right integrations: Safety, sustainability, and operations can’t be siloed. Connecting real-time insights across teams drives better decisions and faster action.
• Right workflows: Data is useless without action. Risks, violations, and inefficiencies should trigger immediate corrective actions, not just reports.
The shift back to EHS
We’re watching a major shift in how companies think about sustainability. The most forward-thinking organizations are putting workplace safety back in charge. Why? Because safe operations means higher output.
When workers feel safe, they focus on the job. When incidents drop, downtime decreases. And when frontline teams are empowered, sustainability goals stop being theoretical and start becoming reality.
The big bet: EHS platforms will pivot back to safety
Watch closely — major EHS compliance platforms that went all-in on sustainability will roll back. They’re already thinking about how to enable their original, first happy user base: Safety professionals.
For years, these platforms disregarded the heroes of this industry — EHS leaders and frontline safety teams. But now, their focus is shifting back.
This tectonic shift will push companies to rethink how they solve both safety and sustainability challenges — not with dashboards, but with real-time data and operational execution.
Big changes are coming — and we’ve got some exciting updates from Intenseye on the way.
EHS leaders, are you seeing this shift in your company?
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### Enhancing forklift and pedestrian safety with AI

URL: https://www.intenseye.com/blog/enhancing-forklift-and-pedestrian-safety-with-computer-vision

Curious about enhancing forklift and pedestrian safety through computer vision? Read our blog to explore EHS technologies.

Forklifts has been one of the most commonly used tools in today’s workplace environment. From heavy manufacturing to retail store rooms, forklifts help teams safely move heavy loads across facilities. However, the forklift pedestrian safety is often misunderstood or overlooked. Today, many companies are considering going forklift-free and seek alternative autonomous options.
But the transition will likely to be costly and because of that, many EHS teams are turning to AI-powered workplace safety software to enhance forklift pedestrian safety operations these days. But how exactly can computer vision AI ensure forklift-pedestrian safety? Let's explore together! ‍
Understanding the risks of operating a forklift near pedestrians
Although smaller than a car, forklifts weigh on average about 9,000 lbs and can weigh upwards of 20,000 lbs in some configurations.
Their agility and size can cause frontline workers to underestimate the damage that can be done during a collision or tip-over. Even minor forklift collisions, especially with pedestrians, can cause severe injuries like fractures, sprains, and strains.
Forklifts were involved in 67 work-related fatalities in 2023 , along with 24,960 DART cases—including 15,480 days away from work (DAFW) cases—between 2021 and 2022.
Administrative controls like forklift/pedestrian mapping and creating forklift or pedestrian-restricted areas have been common attempts to help curb these risks.
However, outside of occasional audits, it is hard to validate that these controls are helping to eliminate forklift pedestrian safety risks.
Typically the gaps of faulty pedestrian forklift controls are only captured via near-miss reporting where data is limited. However, the use of computer vision AI can provide a more comprehensive understanding of the risks.
How to enhance forklift pedestrian safety with AI
Forklift-pedestrian interactions can be some of the most dangerous, yet overlooked, risks in the workplace. While many of these interactions are safe, the few that aren't often stem from risks that were never properly identified. Here's how Intenseye’s AI-powered workplace safety software helps EHS teams who are seeking for a safety system that can act as a pedestrian detection system and capture blind spots.
Detect unsafe proximity in real time : Using computer vision AI, Intenseye’s “dynamic delimitation” use case identifies when forklift operators and pedestrians come too close within a defined area—bringing visibility to moments that would otherwise go unnoticed. ‍
Surface near misses and build risk maps : These interactions help reveal uncaptured near misses and can be used to create dynamic forklift/pedestrian maps, highlighting both high-risk and safe zones across your facility. ‍
Get real-time alerts, wherever you are : Intenseye sends immediate notifications to EHS teams via SMS, email, or even smart speaker integrations—so action can be taken right away. ‍
Understand your true risk profile : Quantifying forklift-pedestrian interactions allows safety leaders to get a clear picture of where their risks lie—not just what gets reported. ‍
Visualize patterns with heat maps : With Intenseye’s heat map feature , users can visually pinpoint exactly where unsafe behaviors and near misses are happening across the facility. ‍
Spot systemic issues hidden in plain sight : Even when most behaviors are safe, unsafe events can cluster in areas where risk was underestimated. Heat maps help uncover these problem zones. ‍
Drive continuous improvement with data : By trending large volumes of interaction data, site teams can objectively evaluate how effective their current controls are—and use that insight to audit, adjust, and improve continuously.
Outside of traditional engineering and administrative controls, many companies are turning to AI-powered EHS management software solutions to elevate their vehicle safety program. Leveraging technology will be the theme of the next wave in safety management, and its possibilities are vast.
By leveraging AI-powered safety management software, companies can make significant progress in enhancing forklift and pedestrian safety, making the workplace a safer place for everyone.
Leaders who are using this technology to help improve safety at their sites are uncovering previously unseen issues, and quickly rectifying and auditing their effectiveness. Intenseye is one promising tool leaders should add to their toolbox when thinking about improving pedestrian and forklift safety.
To learn more about us and utilize computer vision for forklift and pedestrian safety, schedule a demo with us.
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### Enhancing global EHS management through leading indicators

URL: https://www.intenseye.com/blog/enhancing-global-ehs-management-through-leading-indicators

Read our blog to discover how our leading safety indicators and safety Score module transform workplace safety management on a global scale.

While today’s tech landscape is evolving faster than ever, I think innovation goes beyond simply developing new product features or even new products. The key to meaningful innovation lies in truly understanding the needs and challenges of the users and crafting solutions that truly resonate with them.
As the Intenseye Product team, our approach is deeply rooted in direct engagement with the people who use our EHS management platform every day. To capture their valuable insights, we conduct site visits, hold user interviews, and facilitate feedback sessions as often as we can.
Measuring health and safety performance on a global scale
During one such engagement at a large manufacturing facility, we identified a crucial challenge: the lack of a quantifiable, proactive safety metric that is applicable across the entire organization. We quickly realized that this challenge wasn't isolated to that one customer. Rather, it's now exceedingly common among safety managers and operations leaders at manufacturers and other enterprises in industries like metals, textile, automotive — each needing a unified approach to measure safety that scales with global operations.
Findings from the recent Global EHS Maturity report by EY shed additional light on the true scope of this challenge, noting that only 43% of mature EHS functions report comprehensive performance data company-wide, and no single metric is consistently used across these companies. Such inconsistencies can obscure true safety performance and complicate the workplace safety management at a strategic level.
These conditions are what motivated us to develop Intenseye's new Leading Indicators module, which includes new safety metrics and a Global View feature that deliver actionable visibility into safety performance enterprise-wide.
Quantifying safety performance with the Safety Score
A core component of the Leading indicators module is the Safety Score. We designed this proactive and quantifiable safety metric to provide a clear snapshot of safety performance across facilities. Unlike traditional metrics such as Total Recordable Incident Rate (TRIR) or Lost Time Incident Rate (LTIR), which only provide insights after incidents have occurred, the safety score is derived from real-time data, offering an up-to-the-minute reflection of safety conditions.
Featured prominently on our Safety Score card, the score ranges from 0 to 100, where lower scores indicate higher risks and higher scores reflect safer conditions. This card visualizes the distribution of safety scores across different locations and scenarios, highlighting critical areas that require immediate attention and action.
By tracking this proactive metric, safety teams can:
• Conduct detailed, localized safety analyses within specific areas of a facility, allowing them to pinpointing zones where safety protocols may be underperforming.
• Effectively prioritize safety interventions, ensuring that efforts are concentrated where they are most needed, optimizing workplace safety and efficiency.
Transformative global oversight with Global view
Building on the foundation provided by the Safety Score, the Global view feature transforms how safety is managed across multiple locations. It integrates safety scores from all facilities into a cohesive dashboard, enabling corporate EHS and operations leaders to:
• Monitor global safety metrics in real-time, providing a comprehensive overview of safety performance across the company’s entire operational footprint.
• Strategically allocate resources by directing them towards higher-risk facilities, thereby enhancing overall safety standards and compliance.
We couldn't be more grateful to our early adopters of the Global view — whose feedback has been overwhelmingly positive. According to one safety leader from a prominent multinational corporation in the logistics sector:
"The Global view feature is amazing because it aligns with our strategy across regions, enhancing ownership and visibility right down to specific operational details."
Reflecting on our journey and looking forward
The journey to develop the Leading Indicators module has been a transformative experience for our team and much-needed change for the EHS industry. From closely and frequently engaging with our users to being precise and meticulous in developing new safety metrics, every step has been driven by our commitment to making workplace safety both measurable and manageable at a global scale.
As we continue to refine and enhance these features, feedback from our users will always remain integral to our approach. It is their insights that shape our roadmap and help us to continually innovate in ways that make meaningful differences in their daily operations.
Looking ahead, we are excited to further our mission of transforming workplace safety with technology, ensuring that every facility, regardless of location, operates under the highest safety standards. Our Leading Indicators module is just the beginning, and we are eager to see how it continues to elevate workplace safety management to new heights and ultimately fosters safer working environments worldwide.
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### Ethical AI practices for workplace safety

URL: https://www.intenseye.com/blog/ethical-ai-practices-for-workplace-safety

Explore the ethical AI principles behind Intenseye's workplace safety solutions, focusing on transparency, fairness, privacy, and accountability for responsible AI use.

As artificial intelligence (AI) advances and reshapes our world, ethical concerns around its development and use are rapidly gaining attention. For companies like Intenseye, which leverages AI to enhance workplace safety management, upholding high ethical standards is essential—not just as a compliance measure, but as a core component of our commitment to our customers and the well-being of workers.
In this post, we will dive into the ethical framework guiding AI, particularly in areas crucial for workplace safety, such as transparency, fairness, privacy, and accountability. We will explore how these AI principles address potential harm-benefit trade-offs, empower user autonomy, and promote justice and fairness in AI deployment.
Readers will gain insight into Intenseye’s ethical commitments and how we strive to set a new industry standard for responsible AI use.
Our aim is to offer a transparent view of how we build ethical considerations into every aspect of our technology, ensuring it serves the people it impacts in a meaningful and responsible way.
What is AI ethics?
AI ethics encompasses a set of principles designed to guide the responsible development, deployment, and oversight of artificial intelligence technologies.
Unlike traditional tech tools, AI systems can independently analyze data and make decisions, impacting lives in ways both seen and unseen. As such, AI requires more than just technical skills to manage responsibly; it demands a robust ethical framework that prioritizes transparency, accountability, and fairness.
Responsible AI: More than a standard
In the AI industry, “responsible AI” refers to the development and deployment of AI in a way that ensures safety, fairness, and respect for individual rights. At Intenseye, responsible AI is more than a standard—it is foundational to how we design, test, and implement AI.
Responsible AI acknowledges that the power of AI brings a duty to uphold high ethical and legal standards, particularly when AI systems are used in sensitive environments like workplaces.
Intenseye’s AI-powered EHS management software identifies and flags potential safety risks in real time, allowing organizations to respond quickly to safety hazards and protect workers. However, for this to be genuinely responsible, the system must prioritize privacy and security, ensure it is free from bias, and be transparent in its decision-making processes.
We continually work to refine these aspects, viewing responsible AI not as a static checklist but as an evolving practice that keeps pace with technological and regulatory changes.
Core principles of AI ethics
While AI ethics is a broad field, certain principles form its foundation. Below, we highlight some of the most critical ones we integrate into Intenseye’s safety AI solutions and why each is necessary for building trust and safeguarding workers.
1. Transparency
Transparency in AI means the technology should be understandable and explainable to its users. When AI models make decisions—especially in sensitive areas like workplace safety—users need to understand why and how these decisions were made.
At Intenseye, we ensure that all stakeholders know whether they are interacting with an AI or a human-generated system. This commitment to clarity helps prevent misunderstandings and builds trust with users.
2. Fairness and Non-Discrimination
AI systems must be carefully designed to avoid perpetuating or exacerbating biases that may exist in the data they are trained on. Bias in AI is not merely a technical issue; it is a legal and ethical one.
Our approach at Intenseye involves regularly evaluating our datasets and proactively removing sensitive information that could lead to unfair outcomes, particularly for those in vulnerable or high-risk roles.
By addressing these biases early, we uphold fairness across the board and protect workers’ rights to equal treatment.
3. Privacy and Data Security
Privacy is a fundamental right, especially when it involves data that can be sensitive or personally identifiable.
In an era where workplace safety often means using cameras and sensors, Intenseye ensures that our AI respects workers’ privacy by anonymizing data and deleting it after analysis. We never store personal images or use biometric data—our models are designed to detect safety risks without compromising individual privacy. This not only aligns with ethical best practices but also complies with regulatory frameworks like the GDPR.
4. Accountability and Human Oversight
AI systems, no matter how advanced, should never operate in a way that removes human responsibility or oversight. As legal practitioners, we know that accountability is essential for any responsible use of technology.
Intenseye embeds human oversight into our AI processes, allowing safety managers to analyze, validate, and, if necessary, challenge AI-driven decisions. This safeguards workers’ autonomy and keeps our systems responsive and accountable.
Harm-Benefit Analysis
The balance between harm and benefit is crucial in any AI deployment. This principle aims to ensure that AI technologies improve lives without introducing undue risks or negative impacts.
A well-designed harm-benefit analysis weighs the potential advantages of AI, such as accuracy, reliability, and safety, against possible privacy concerns and data security issues.
This approach is vital for applications like workplace safety, where any compromise could directly impact employees’ health and well-being. For Intenseye, this means a strong emphasis on developing solutions that are secure, effective, and aligned with users' privacy and well-being. Here’s how Intenseye aligns with these harm-benefit priorities:
Accuracy & reliability: Our AI is rigorously tested to ensure high accuracy, so safety managers receive dependable data to make informed decisions. By providing real-time alerts, we help organizations address hazards swiftly, directly contributing to worker safety.
Data security: We take data privacy seriously, encrypting all data and allowing clients to customize retention policies. Data is automatically deleted as per the agreed retention schedule, ensuring that only essential, non-identifiable information is retained.
Safety and wellbeing: The health and safety of workers are at the heart of Intenseye’s mission. Our safety AI solutions help maintain safer workplaces, reducing risks and promoting both physical safety and overall worker satisfaction.
Positive impact on workforce: By using existing cameras to analyze safety, we enhance a company’s most valuable resource—its people. Our technology acts as an additional safeguard, allowing employees to focus on their roles with added peace of mind.
Autonomy and agency in AI
Autonomy and agency address the importance of preserving human control and decision-making within AI systems. This principle ensures that AI complements rather than replaces human judgment, empowering users by offering insights and information to enhance their roles.
In workplace safety, this means that employees and managers retain oversight and control over AI-driven processes. It also underscores the importance of informed consent, transparency in AI interactions, and worker engagement in the AI-enabled safety workflow. Intenseye embodies these principles of autonomy and agency as follows:
Human control & oversight: Our safety AI solutions do not influence societal resource allocation but focus on creating safer workplaces, particularly benefiting high-risk roles. Our systems are monitored and managed by safety personnel, who oversee AI-driven unsafe acts &conditions notifications and take action as needed.
Transparency and right to know: We believe in clear communication, informing users if they are interacting with AI-generated information or human input. Transparency builds trust and keeps stakeholders well-informed on how our technology operates.
Empowering safety managers and inspectors: By automating routine safety inspection tasks, Intenseye frees safety inspectors to concentrate on complex problem-solving. Our AI provides detailed information about safety issues, enabling managers to make quick, impactful decisions.
Enhancing worker agency: Our AI’s task management workflow is designed to include worker input. Employees are empowered to report and address safety issues, enhancing the system’s overall effectiveness and reinforcing their role in maintaining workplace safety.
Purpose limitation: Intenseye underscores the importance of using technology responsibly and transparently. We require clients to inform workers about our technology and limit its use strictly to safety-related goals, ensuring ethical deployment and respect for individual rights.
Explainability: Our models are built with explainability in mind. Clients can request detailed explanations of how our AI made specific decisions, ensuring that processes are transparent and traceable.
Justice and Fairness in AI
Justice in AI focuses on the fair distribution of AI’s benefits and burdens across society. This principle requires AI to be free from bias and discriminatory outcomes and to offer protection to the most vulnerable members of society.
By prioritizing fairness and non-discrimination, AI-powered workplace safety technologies like Intenseye can help reduce workplace disparities, particularly in high-risk industries. For AI to be truly just, it must continually assess its data, processes, and outcomes to uphold equality and promote the well-being of all affected parties.
Intenseye’s commitment to justice and fairness is reflected in the following ways:
Equity in safety: Our AI enhances workplace safety, which is especially important for employees in high-risk positions who may be more vulnerable to workplace injuries. By implementing robust safety measures, we support societal equity, ensuring that all workers have access to a safer working environment.
Equality & non-discrimination: We are dedicated to ensuring that our AI remains unbiased and fair. Intenseye continuously evaluates and updates its datasets to prevent any form of discrimination, directly addressing the risk of unintended biases in safety assessments.
Accountability in development: At Intenseye, ethical and legal considerations guide every aspect of our R&D. We see it as a shared responsibility across our teams to design algorithms that reflect our commitment to justice and uphold the highest ethical standards.
Contestability: Our AI supports human autonomy by allowing safety managers to review and, if necessary, override AI-generated recommendations. This fosters an environment where AI acts as a supportive tool rather than a directive force, maintaining human authority and judgment as the ultimate guides.
Why ethical AI is essential for workplace safety?
In workplace safety, AI has remarkable potential to detect and prevent safety incidents, reduce hazards, and create safer working environments. But with this power comes responsibility. AI ethics isn’t just about creating “rules” for our systems; it’s about ensuring that our technology works to protect and respect the people it impacts.
Intenseye: Leading with Ethical AI
In a world where AI is increasingly integrated into critical sectors, ethical considerations must be at the forefront of any organization’s strategy.
At Intenseye, we see ethical AI as a pathway to responsible innovation, and we are committed to leading by example, demonstrating that ethical AI is both achievable and beneficial for all. By focusing on transparency, fairness, privacy, and accountability, we ensure that our technology not only enhances workplace safety but also respects the rights and dignity of every worker.
By doing so, we not only meet legal standards but also help shape industry norms, setting a precedent for safe and ethical AI use.
As we continue on this journey, we invite others in the industry to engage with these ethical principles. Together, we can build a future where AI-driven workplace safety solutions are both innovative and ethically sound, setting a new standard for the responsible use of AI in safeguarding lives.
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### From Detection to Prediction: Intenseye Integrates NVIDIA Cosmos Reason 2

URL: https://www.intenseye.com/blog/from-detection-to-prediction-intenseye-integrates-nvidia-cosmos-reason-2

Intenseye has integrated NVIDIA Cosmos Reason 2, a reasoning vision language model, into its workplace safety platform. The integration enables safety teams to go beyond hazard detection by generating structured risk intelligence reports — including quantified risk scores and potential Serious Injury or Fatality…

Traditional workplace safety monitoring answers a simple question: did something unsafe just happen? That's valuable — but it's not enough. The harder question, the one that actually changes how safety teams prioritize and respond, is: how serious could this have been, and why?
Today, we're introducing a new capability inside the Intenseye platform that helps answer exactly that. We've integrated NVIDIA Cosmos Reason 2 — a state-of-the-art reasoning vision language model — directly into the Intenseye control room, giving safety teams on-demand access to deep, AI-powered video analysis at the point of decision.
From Detection to Understanding
Intenseye already monitors industrial facilities in real time, using computer vision to detect unsafe conditions and alert safety teams within seconds. That detection layer isn't going anywhere — it's the foundation.
What NVIDIA Cosmos Reason 2 adds is a reasoning layer. Instead of simply flagging that a hazard exists, the model watches the full video sequence and interprets what's actually happening in the scene: how workers are moving, what equipment is in play, how the environment contributes to risk, and how those factors interact.
The result is a structured risk intelligence report generated in seconds — not a generic summary, but a detailed breakdown that includes identified hazards with quantified risk scores, the specific evidence the model observed in the footage, and a prediction of how likely the event was to result in a serious injury or fatality.
That last piece — the pSIF (potential Serious Injury or Fatality) prediction — is what shifts this from interesting to indispensable. It gives safety leaders a concrete, data-backed way to distinguish a close call from a near-catastrophe, and to allocate their attention accordingly.
One Click, No Context Switching
We were deliberate about how this integration lives inside the platform. When an operator is reviewing a safety alert in the Intenseye control room, a Cosmos button appears right alongside the video. One click sends the footage to NVIDIA Cosmos Reason 2 for analysis. A few seconds later, the results appear in a clean, structured panel — overlaid directly on the alert view.
There's no separate tool to open. No data to export. No workflow to interrupt. The operator reviews the findings, understands the risk, and moves straight into action — assigning corrective tasks, escalating to leadership, or documenting the event — all within the same interface they already use every day.
This matters because the biggest bottleneck in safety operations isn't the technology. It's the time between seeing a problem and doing something about it. Every extra step, every context switch, every manual review adds delay. This integration compresses that gap.
What the Model Actually Sees
It's worth pausing on what makes NVIDIA Cosmos Reason 2 different from a standard computer vision model. Most safety AI systems are trained to recognize specific patterns — someone without a hard hat, a forklift in a pedestrian zone, a blocked emergency exit. They're effective at catching known violations.
Cosmos Reason 2 operates at a different level. Built on NVIDIA physical AI foundation, it reasons about the scene the way a trained safety professional would: considering spatial relationships, temporal sequences, physical dynamics, and contextual factors that a rule-based system would miss. It doesn't just see that a worker is near a moving vehicle — it evaluates the trajectory, the proximity, the line of sight, and the likelihood of a collision.
This is the difference between a system that tells you what happened and one that helps you understand why it's dangerous .
Built for Scale
The integration runs on NVIDIA DeepStream , which powers high-throughput video processing across large industrial deployments. Whether a company operates five facilities or five hundred, the architecture is designed to handle the volume — processing video at the edge and delivering results back to the control room without bottlenecks.
For global operations with multilingual teams, Cosmos Reason 2 also supports natural-language explanations in over 100 languages, making the insights accessible to safety personnel regardless of location.
A New Standard for Proactive Safety
The workplace safety industry has spent decades building reactive systems — incident reports filed after the fact, investigations triggered by injuries, compliance checklists reviewed on a schedule. The shift to real-time detection was a major step forward. This integration represents the next one.
With Intenseye and NVIDIA Cosmos Reason 2, safety teams don't just see hazards faster. They understand them more deeply, quantify their severity with precision, and act on them before outcomes escalate. It's the difference between monitoring a workplace and truly protecting the people inside it.
The NVIDIA Cosmos Reason 2 integration is available now within the Intenseye platform. To see it in action, request a demo .
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### From Hazard Hunting to Exposure Reduction: A New Role for EHS Leaders

URL: https://www.intenseye.com/blog/from-hazard-hunting-to-exposure-reduction-a-new-role-for-ehs-leaders

Discover how EHS leaders are shifting from reactive hazard detection to proactive exposure reduction. This blog explores how AI-powered video analysis from Intenseye helps identify serious injury and fatality (SIF) risks in real time — transforming safety programs with leading indicators and actionable insights.

For decades, safety has been defined by what already happened. Filed reports, root cause analysis, retroactively documented hazards. But in high-risk industries, waiting for lagging indicators to reveal risk is no longer enough.
The role of the EHS leader is changing. And so are the expectations.
Reactive safety finds hazards. Proactive safety reduces exposure.
Traditional processes like paper audits, behavior observations, and near-miss reporting all serve a purpose. But they miss what matters most: real-time exposure to serious injury and fatality (SIF) risks.
Relying on moment-in-time inspections means chasing yesterday’s risks, missing today’s exposures, and failing to prevent tomorrow’s injuries.
It’s time to shift from hazard hunting to exposure reduction.
AI makes exposure visible. And that changes everything.
With Intenseye, safety teams gain 24/7 visual insight into their highest-risk areas. Using AI-powered video analysis, the platform flags unsafe interactions with mobile equipment, high-frequency fall risks, and repeated violations of PPE protocols as they happen.
This isn’t about surveillance. It’s about precision. Intenseye anonymizes individuals by design and focuses on patterns that signal elevated risk — helping teams identify SIF precursors long before an incident occurs.
Instead of chasing observations manually, safety leaders can now focus on coaching, engineering controls, and systemic fixes that reduce exposure at the source.
What does that mean for EHS?
It means spending less time walking the floor with a clipboard, and more time solving the problems that actually drive serious harm.
It means building programs around leading indicators , not just compliance checklists, and elevating the role of EHS from compliance monitor to strategic risk partner.
This is how modern safety leaders are changing the game — not by reacting faster, but by preventing smarter.
See what changes when you stop hunting hazards and start reducing exposure.
Intenseye partners with safety teams to make real-time, SIF-focused prevention a reality.
Explore how our AI platform helps EHS leaders see risk clearly, act decisively, and protect workers before it’s too late.
👉 Learn more about real-time exposure detection with Intenseye

### From vision to reality: The development of Chief

URL: https://www.intenseye.com/blog/from-vision-to-reality-the-development-of-chief

Empower workplace safety with Chief by Intenseye—AI-driven insights, predictive analytics, and real-time data to transform EHS management for safer operations.

In the dynamic field of workplace safety, technological advancements have continually pushed the boundaries of what's possible. At Intenseye, we've consistently been at the forefront of this evolution.
Our commitment to innovation is rooted in our collaboration with safety professionals whose insights and experiences have been instrumental in shaping our solutions to address the core challenges faced in the field.Building on this collaborative approach, we developed Chief with a clear vision: to empower safety leaders to master the ever-growing complexity of EHS data, ensuring safer workplaces everywhere.
Under my leadership, our team of engineers and data scientists embarked on a comprehensive R&D journey marked by extensive testing and iterative development. Chief is the culmination of these efforts — a robust platform designed to analyze vast amounts of safety data, streamline operations, and deliver timely, predictive, and prescriptive insights.
Harnessing a global dataset as the foundation
Over the past five years, we have analyzed over 35 million real-world safety incidents from various industries and locations globally. This extensive analysis has deepened our understanding of the unique environments, tools, and equipment used across these sectors.
This comprehensive insight forms the foundation of Chief, granting it unmatched precision in addressing the complex challenges that safety professionals face daily.
Real-world impact: Enhanced predictive analytics
A key outcome of our vast dataset is Chief's enhanced predictive analytics capability, allowing safety teams to identify and mitigate issues before they escalate into safety hazards. For instance, in a manufacturing setting, Chief can forecast potential equipment failures by comparing current operational data with historical patterns from similar facilities worldwide.
This allows maintenance teams to proactively address issues, significantly reducing downtime and enhancing overall workplace safety.
Ethical AI at the core
Our broad dataset also strengthens our approach to ethical AI by ensuring Chief delivers inclusive insights and avoids bias based on demographic factors. For example, when examining incident reports in a manufacturing facility, Chief focuses on operational aspects like machine operation patterns and production line conditions rather than worker characteristics.
Additionally, we've built Chief with explainable AI principles, allowing safety managers to understand the rationale behind its recommendations. For instance, if Chief suggests increasing safety measures in a particular area, it provides clear, data-driven explanations for this decision, fostering trust and enabling informed safety decision-making.
Transformative capabilities empowering safety superheroes
In developing Chief, we focused on creating transformative capabilities that directly enhance the effectiveness of safety professionals. These innovative features are designed to make a tangible difference in the way safety teams operate, providing them with powerful tools to identify, analyze, and mitigate EHS risks more efficiently than ever before.
Lightning-fast safety incident analysis
Chief can analyze up to 2 million safety events per minute, which means it can quickly sift through vast amounts of information from various sources. This rapid analysis is made possible by our real-time data processing algorithms and an advanced network of over 25 Large Language Model (LLM) nodes.
The practical impact of this capability is significant. It dramatically reduces response times to safety incidents by enabling rapid identification and mitigation of potential hazards. Safety teams are empowered to act swiftly, often preventing accidents before they occur and maintaining operational continuity.
Deeper insights with multimodal AI
Chief leverages multimodal AI to process and analyze data from a variety of sources, including video feeds, or textual reports. For safety professionals, this means they can quickly comprehend complex scenarios and make informed decisions based on a comprehensive analysis of all available data, without the need to manually piece together information from separate sources.
Regulation-ready compliance
Chief stands out as the first AI specifically trained on safety regulations. This groundbreaking feature addresses one of the most significant challenges in global operations: staying compliant with ever-changing safety standards. By leveraging its extensive training on the latest safety regulations, Chief automatically ensures that all safety recommendations align with current laws. This not only simplifies compliance but also significantly reduces the risk of penalties.
Enterprise readiness and scalability
As we recognize the complexities involved in deploying safety solutions across large enterprises, we’ve designed Chief to be flexible and robust, ensuring it meets the diverse needs of global operations without compromising on performance or security.
Adaptable cloud infrastructure
Chief’s cloud-agnostic infrastructure allows seamless integration with any enterprise’s existing cloud systems. This flexibility ensures that as your business grows and evolves, Chief can easily adapt, facilitating expansion without the technical headaches typically associated with new software deployments.
Uncompromising data security
Developed entirely in-house, Chief adheres to the highest industry standards for data security. Our robust protocols guard against data breaches and ensure compliance with international privacy laws, providing peace of mind that your data is secure and managed responsibly.
A personal reflection
As we introduce Chief to the world, I’m filled with immense pride in our team and gratitude towards the community of safety professionals whose insights have been invaluable. The development of Chief is not just a milestone for Intenseye but a leap forward for the industry. I am personally thrilled about the potential changes it will bring, making workplace safety management more proactive, intelligent, and inclusive.
Conclusion: Looking forward
The journey doesn’t end here. We are already exploring future enhancements for Chief, including more advanced predictive analytics features and broader integration capabilities. Fill out our demo form today for a 30-day free trial and experience firsthand the power of Chief’s capabilities in your operations.
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### 6 steps to conducting effective workplace safety inspections with AI

URL: https://www.intenseye.com/blog/harnessing-ai-for-effective-ehs-inspections

Interested in how to digitize safety inspection processes? Discover ways to save time with safety inspection software and take robust corrective actions!

Workplace safety inspections, health and safety checks, and audits play a big part as the leading safety indicators for many organizations. Setting quantitative targets for management, supervision, and EHS teams is very common across many industries. On the other hand, the quality of these activities is often being questioned:
‍ • Are the companies getting the expected value from those activities?
‍ • Is time being used efficiently?
‍ • How efficient is the output of those inspection activities?
‍ • How do you measure the performance and efficiency of inspections?
There are many more questions that you may ask or have already asked (or have been asked) before.
Time is an important aspect of EHS inspections. You may hear figures like 4 hours per day per EHS supervisor or an inspection per 200 man-hours.What can be done to establish an effective workplace safety inspection program that can help control unsafe acts and conditions, generate robust improvement actions, and ultimately prevent accidents?
As technology is constantly evolving and improving, it may have the biggest potential to bring. Digitization of the inspections, automated reporting systems, and using artificial intelligence and computer vision are the first things that come to mind.
There are many advantages of utilizing technology for this routine part of Health & Safety. The first is, of course, the time aspect – why spend 4 hours a day if artificial intelligence can do this for us by:
‍ • Analyzing safety issues 24/7 with a high accuracy
‍ • Generating objective results and outputs
‍ • Notifying in real-time
‍ • Providing data that all your colleagues can access simultaneously
So, you don’t need to have a lot of file binders, keeping the completed workplace safety inspection checklists that mostly no one is looking at after the inspection is completed.
How to carry out an effective workplace safety inspection
The seamless integration of mobile apps further enhances the efficiency and accessibility of EHS inspections. Users can conduct inspections and audits directly through their mobile devices, accessing necessary documents and entering data in real-time, which streamlines the process and ensures accuracy and safety compliance. With mobile apps, inspection data can be entered on the go and accessed immediately, allowing for quicker decision-making and follow-up.
Step 1. Conduct inspections and audits directly through EHS inspection apps
Mobile apps allow users to access necessary documents and input data in real-time, reducing the need for paperwork and improving accuracy.
Step 2. Enter inspection data on-the-go
Real-time data entry ensures immediate access to information, facilitating quicker decision-making and follow-up actions.
Step 3. Reduce paperwork and clerical errors
The ability to input data directly into the system minimizes manual errors and streamlines the entire inspection process.
Step 4. Share inspection results in real-time
Inspection outcomes can be shared instantly, leading to faster resolution of any identified issues.
Step 5. Use geo-tagging for precise location documentation
Geo-tagging ensures accurate location data for compliance and auditing, improving traceability and accountability.
Step 6. Employ standardized mobile checklists
Standardized EHS inspection checklists help maintain consistent data collection and ensure compliance across all facilities.
By using mobile-optimized workplace safety inspection checklist templates, you can perform much more efficient inspections from anywhere. These templates streamline the process, making it easier to maintain compliance and thorough oversight.
Streamlining these processes also reduces the labor costs associated with inspections and prevents costly regulatory penalties by ensuring ongoing compliance.
Effective safety incident reporting
The other aspect of digitalizing this process is reporting unsafe acts/conditions and incidents. Companies have many Behavioral-based safety (BBS) program, observation card systems, etc. to encourage reporting. But we all know that it is impossible to report all the incidents, especially the unsafe acts and conditions. Let’s assume all of them are reported; how can this process be managed in terms of time, resources and efficiency?
Even reporting an incident and following up on corrective actions requires days for management and EHS teams.
So again, if this can be done in the digital world of today, it makes perfect sense to utilize the technology, get a clear picture of your workplace in terms of unsafe acts and conditions, and even access a detailed analysis of those.
You may ask – what should be done with this data? If you receive 200 reports a day, how can this be managed, even with the applicable technology? This is a great question to think about, and the answer to this would be prioritization which requires human involvement.
For example, if you are receiving 100 hard hat unsafe act reports per day, it doesn’t make too much sense to focus on all the individual reports. But if you take corrective action, such as an EHS campaign, a safety talk, or even a simple poster, and if this corrective action reduces your hard hat reports to 40 per day, isn’t this a great way to reduce the risk of exposure or improve PPE compliance ?
Let’s take another example, a high critical working at height unsafe act – here, the real value lies in the identification of this activity, which maybe you weren’t aware of before or even not assessed in your risk assessments. Focusing on this one unsafe act can significantly help you, as taking corrective action to prevent its recurrence can help eliminate the risk of a serious workplace accident in the future.In this example, you see how AI and computer vision can help you to detect unsafe acts and conditions.
To prevent the occurrence of this unsafe act, which can result in much worse outcomes, you need to understand the root causes. If it is approached as a robust incident investigation, you can extract much more value and come up with appropriate mitigations. One of the ways to operationalize this, you can include the questions, and root causes that you had gathered from the unsafe act.
What questions to ask for an workplace safety incident report?
• Is there a job hazard analysis or safe work instruction for rigging the materials?
‍ • Does the rigger have proper training? Does the training include safe loading/offloading of the materials?
‍ • Is there proper access equipment nearby? • Is there a process to report these types of hazards at the workplace? Do people have the right to stop their activities when they encounter these types of unsafe conditions?
‍ • Is the lifting gear certified and appropriate for the load?
So now, we not only have the image and video for the “working at height” related unsafe act; we have also deep-dived into the possible causes and added these controls to our digital inspections, which will be routinely monitored. Isn’t AI, computer vision and digitization of the inspections a perfect combination for the control of workplace hazards?
With the given examples and variety of the EHS scenarios like those above, we really need a helping hand from technology. To identify the unseen hazards, save time through reporting and inspections and take robust corrective actions to prevent them before any serious accident takes place.
And yes, AI and CV have significantly enhanced our ability to identify unsafe acts and conditions . With the launch of Intenseye’s EHS Suite, which consolidates Task Management, Inspection Management, Incident Management, and Audit Management tools into one integrated platform, we’ve substantially improved the effectiveness and efficiency of workplace safety management.
This module, accessible through both desktop and mobile devices, empowers EHS teams to conduct and manage inspections on the go, ensuring operational flexibility and responsiveness.This seamless integration across devices not only streamlines safety processes but also ensures that safety measures are more adaptive, immediate, and comprehensive, delivering unparalleled value to our customers by enhancing their ability to preemptively manage and mitigate workplace hazards.This will certainly be an important element to close the loop and will help make workplaces much safer!
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### How do you measure the impact of safety?

URL: https://www.intenseye.com/blog/how-do-you-measure-the-impact-of-safety

Struggling to measure your safety impact? Measure safety impact in real time with AI-powered insights. Identify risks, take action faster, and track improvements with Intenseye.

This is the challenge that safety teams have been facing for years. You train workers. You implement new initiatives. You drive safety culture. But how do you know it’s working?
- A lower incident / recordable rate? Maybe… but that takes months — sometimes years — to see.
- With high turnover and shifting priorities, connecting cause and effect feels nearly impossible.
What if you could see the impact of your work — right now? What if we could measure and showcase the hard work that safety teams put in day in and day out? Imagine an AI-powered safety platform that:
• Identifies risks in real time, matching your SIF program to actual frontline conditions.
• Guides you step by step in creating simple actions — tasks, inspections, audits — so nothing gets lost.
• Enables your teams to collaborate, resolve issues faster, and track every action to completion.
• Quantifies your impact, showing when you took action and the measurable difference it has made.
‍ This isn’t just an idea. It’s real. Here’s a screen recording of how Intenseye helps safety teams reduce unsafe acts and conditions through operationalized EHS workflows—simple, powerful, and built for real-world impact.
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Measure Your Safety Impact — Starting Today
With AI-powered insights and operationalized EHS workflows, you no longer have to guess — you can see the results in real time. Intenseye helps you identify risks, take action faster, and track measurable improvements—all in one seamless platform. Ready to see how it works? Schedule a demo today and start transforming safety into a data-driven advantage.

### How is artificial intelligence helping in PPE detection?

URL: https://www.intenseye.com/blog/how-is-artificial-intelligence-helping-in-ppe-detection

Intenseye's AI quickly analyzes workers and identifies missing hard hats, gloves, masks, and other required PPE. Learn how to 24/7 detect missing PPE with AI!

Artificial intelligence and computer vision are fundamentally altering our world, and safety is no exception to its influence. Countless AI-powered EHS management software solutions and platforms now have the capability to detect almost any safety hazard, including those resulting from the lack of proper PPE. Yet, safety professionals still often have to identify missing PPE across industries manually.
A closer look at OSHA’s ten most frequently cited safety violations reveals that four out of the ten are linked to a lack of PPE.
But what if there is a solution that could change the way we approach PPE compliance?
In this blog post, we covered why organizations should harness the transformative capabilities of AI and computer vision in PPE detection.
How AI and computer vision technologies enhance PPE detection
PPE detection using computer vision and AI provides a critical layer of safety by continuously analyzing for essential missing PPE, from hard hats to high-visibility vests. AI 24/7 analyzes the environment in real time, pinpointing any missing or improperly worn items, ensuring that workers are equipped with the safety essentials that reduce safety risks.
AI and computer vision techs automatically generate detailed PPE compliance reports and documentation, making regulatory compliance and audit preparation much more efficient. This streamlines record-keeping, allowing organizations to maintain precise, up-to-date records of safety practices and ensuring readiness for inspections and compliance checks.
How to improve PPE compliance
OSHA underscores the significance of the right usage of PPE: missing PPE accounts for 12%–14% of work-related injuries leading to complete disability.
A primary reason for these injuries is that PPE use is often viewed only as a regulatory requirement rather than a proactive safety measure.
There are 5 key steps to improve PPE compliance:
Engineering controls : Prioritize eliminating hazards through proactive design changes before relying on PPE.
Human-centric design : Select PPE that fits comfortably to ensure compliance and employee comfort.
Detect missing PPE patterns : Use AI and computer vision to analyze safety data and identify why PPE is often overlooked.
Lend an ear to the employee's voice : Engage frontline teams in safety discussions to build a shared safety culture.
Break the safety status quo : Show commitment to safety by modernizing your approach and moving beyond traditional safety methods.
To enhance workplace safety and address the root causes of safety risks, it is essential to prioritize engineering and administrative controls alongside selecting the appropriate PPE, identifying patterns of missing PPE and fostering a culture of safety among frontline teams.
Breaking the status quo in your safety management may initially be perceived as challenging, but it ultimately helps ensure PPE compliance and proves to employees your commitment to their health and safety. Let's delve into these five key points to improve PPE detection using computer vision and AI.
Engineering controls first, recovery measures last
Illustrating this concept through an imaginary scenario featuring our fictional EHS manager (let’s call him “Mark”) helps us better understand how to approach detecting PPE needs.
Mark placed engineering controls at the forefront of hazard mitigation, emphasizing proactive measures over reactive solutions. Instead of immediately relying on PPE, he meticulously examined ways to reduce risks within their operations.
Initially, Mark focused on redesigning the workplace environment to minimize hazards. He strategized layouts to segregate vehicle and pedestrian pathways, upgraded ventilation systems to combat airborne pollutants, and implemented machinery to streamline hazardous material handling.
However, recognizing the inevitability of residual risks, Mark assessed the necessity for PPE across different work zones. Rather than adopting a one-size-fits-all approach, he tailored solutions to meet the specific needs of each area.
For instance, in areas requiring prolonged mask usage, he adjusted work schedules to alleviate discomfort. Additionally, he identified varying levels of hearing protection required based on noise levels, ensuring that protection didn't compromise workers' auditory awareness in zones with vehicular activity.
Mark's approach didn't stop at mere identification; he fostered open dialogue with frontline staff to refine PPE protocols. By soliciting their input, he gained insights into practical challenges and devised innovative solutions. This collaborative effort resulted in optimized PPE storage and usage practices, as well as the introduction of alternative options for challenging scenarios.
Human-centric design is the key to PPE usage
Let's leave Mark behind with this successful operation and focus on addressing the actions needed for PPE detection one by one.
First things first, you can’t blame anyone who doesn’t feel comfortable with the improper fit PPE on their body. In the first stage, looking for products with more human-centric design features will increase PPE compliance within your facility.
Brittany Cohen, product marketing manager at Magrid, emphasizes the importance of comfort alongside the training:
“ There are two important aspects to getting workers to wear PPE correctly – training and comfort. First, be sure they actually understand how to wear it and why it’s important. No gap between sleeves and gloves, hard hats ratcheted tight, safety glasses over the eyes (not at the top of the head), protective clothing properly zipped and tucked. You can get a lot of mileage out of simply explaining the points of vulnerability that your employees may not realize ”
Each component of PPE, from headgear to eyewear, body protection, and extremity coverings, should be tailored to suit your specific workplace and individual workers. Properly fitting PPE is individualized; there is no one-size-fits-all solution.
Detect missing PPE pattern
EHS teams cannot be everywhere in the facilities at the right time; thus, detecting the missing PPE all the time is impossible. Also how can you be sure whether your employees don their hard hats or wear their gloves right before you come?
Bottom line, to understand why the employees don’t use PPE, you should conduct an in-depth analysis of the PPE usage pattern. Because there’s always a reason!
One of our customers in the textile industry had a high-risk forklift-pedestrian interaction because of the noisy environment. Employees can’t hear that forklifts are coming, driving them not wearing their hearing muffs.
Intenseye’s AI can be integrated with smart speakers that deliver instant audio and visual warnings in case of any hazard to prevent potential incidents. We integrated smart speakers into our customer’s facility to surpass the need for taking off the hearing muff and ensuring pedestrian safety while forklifts are in action. One AI-powered safety rule for two major risks! .
This is a great example that shows you could only take action after detecting the missing PPE pattern, so the reason behind it. To do so, you should leverage AI-powered safety management technology that analyzes safety patterns, detects the safety risks and nonconformities and brings EHS teams tables comprehensive data on their leading safety indicators.
Lend an ear to the employee's voice
Maybe they’re not well aware of that fact, but your frontline teams have the best solutions for each risk as they experience, sense and are exposed to them. The problem is limited time, fatigue, and the feeling of pointlessness that can derail the team and drive them to maintain their daily habits.
Giving room to their thoughts, feelings and voices can build a shared safety culture which is the key point for eliminating risks. If an unsafe act & condition continuously arise in the same way within a facility, probably the reason behind it is a real need for the sake of the operation. Either because doing that operation in this particular way is more productive or way more time-saving.
Or it’s just because of maintaining the status quo which only sets more and more barriers to a real, modern and safer EHS mindset. Counting frontline employees to the safety processes makes you realize your engineering controls and safety prioritizations. The good point is it also makes them more engaged, conscious and proactive against unsafe acts & conditions.
Prove employees that you are breaking the status quo first
As human beings we generally don’t like obligations—- even if deep down inside we know that it’s for our own good, we tend to shrink away from the rules. The logic here is simple: Mandating makes us forget the inner reason behind the rules.
Of course it’s not all about wearing PPE properly, though it’s sina quo non to keep employees safe, it’s just a recovery measure, not the ultimate goal ( Of course describing PPE as the “last resort” shouldn’t create complacency among employees. So it’s another point to watch for EHS teams)
For this very reason, fostering your organization's safety objectives, and engaging with the frontline step by step while implementing your safety program is key in your EHS operations.
Last but not least: Your employees need to see that you’re not confining your organization to traditional methods. Don’t make PPE usage a taboo but consider it as part of your safety culture.
Ultimately, you’re modernizing your workplace safety conception, culture and operations. Reaching out this goal can be simple with technology and as Intenseye we stand for adopting the safety management software to your current safety needs.
Only this way can you break the status quo which will stir up your employees to be more proactive, step out of their safe zone (or comfort zone) for step forward to safer workplace zones.
Speaking of obligations… Let’s check OSHA’s PPE assessment requirements together.
What does OSHA require for PPE assessment?
OSHA requires employers to assess their work environments to eliminate safety hazards that require donning PPE.
This is more than just checking boxes. It involves identifying safety risks at work, such as machines, procedures, or hazardous materials, that could potentially harm employees.
Before reaching for the goggles and hard hats, though, there's a protocol to follow.
Employers should try other options before making decisions. They might tweak the machinery or alter the work environment, introducing engineering controls like ventilation systems or isolating processes to keep employees out of harm's way.
If that's not enough, they'll delve into work practice controls, like implementing job rotations or strict cleanliness protocols to minimize risks. But when push comes to shove, and PPE is deemed essential, it's not just a free-for-all. Employers need to consult OSHA standards for precise guidelines on what gear to use and how to use it.
Think safety glasses, face shields, gloves, and more—all carefully chosen to match the specific hazards at hand.
Crafting a robust PPE program isn't a one-off task; it's an ongoing commitment. Employers must meticulously follow a PPE compliance checklist, assessing hazards, determining the right PPE, training employees thoroughly on its use and maintenance, ensuring they understand the risks, enforcing proper usage, arranging for medical evaluations if needed, and periodically evaluating the program's effectiveness.
What are the steps for safeguarding employees?
In safeguarding employees, an essential initial stride involves conducting a comprehensive safety hazard assessment to pinpoint potential safety hazards to both physical well-being and health within the workplace. Then selecting the proper PPE and training employees are on the line.
Safety hazard assessment
Safety hazards span a spectrum, ranging from physical risks like moving machinery, varying temperatures, intense lighting, and sharp edges, to health& safety hazards exposure to unsafe conditions.
The assessment commences with an examination of the premises to catalog hazards across various fundamental categories:
• Risks of falls
• Possibility of impact, penetration, or compression incidents
• Exposure to chemicals, extreme temperatures, harmful dust, and light radiation
• Potential biologic safety hazards
During this safety check, organizations should focus on finding things like electricity, moving parts, heat, chemicals, dust, bright lights, things that could fall, sharp objects, and germs. After checking everything, you need to organize and investigate the root causes of the safety risks.
This includes looking at any injuries or illnesses that have happened and figuring out if there are any trends we need to pay attention to.
A documented certification of the hazard assessment is a must, containing details such as the assessed workplace, the assessor's name, assessment date, and certification identification.
Selecting the proper PPE
All protective gear and clothing must be designed and made safely, kept clean, and in good condition. Employers should consider how well the gear fits and how comfortable it is when choosing what to provide. If the gear fits well and feels good, workers are more likely to use it.
It's important to pick the right size for each person, especially if different types of gear are worn together. If gear doesn't fit properly, it can leave workers at risk and might not give them enough protection.
According to OSHA, certain types of protective gear need to meet specific standards set by ANSI. These standards have been around since the 1920s and cover things like helmets and goggles. Employers who have to provide this gear make sure it meets these standards.
PPE training
Employers must provide training to employees who need to use protective equipment. This training should cover:
• When the PPE is necessary?
• What PPE is needed?
• How to put on, take off, adjust, and wear the gear correctly
• The gear's limitations
• How to take care of, maintain, and dispose of the gear properly
Employers need to ensure that each employee understands the training and can use the gear correctly before letting them work with it.
If an employer sees that an employee needs help understanding or using the gear properly, they should provide additional training. Also, if there are changes in the workplace or the type of gear needed, employees might need to be trained again.
What are the benefits of AI in PPE detection?
• Increased PPE compliance: Intenseye’s AI-powered safety management software can ensure that employees are adhering to PPE requirements by detecting instances where PPE is not being worn properly or is missing altogether. This helps in increasing overall compliance with safety regulations and standards.
• Real-time analysis: The software can provide real-time analysis of PPE usage, allowing supervisors to address any non-compliance issues and take corrective actions immediately.
• Data analysis: AI-powered safety management software can analyze data over time to identify trends and patterns in PPE usage. This can help in determining areas where additional focus may be needed to improve compliance and safety standards.
• EHS Cost savings: By reducing the likelihood of workplace accidents and injuries through better PPE detection, EHS management software can lead to cost savings for organizations by minimizing workers' compensation claims, medical expenses, and downtime due to injuries.
• EHS Documentation and reporting: AI automatically generates reports and documentation regarding PPE usage and compliance, which can be useful for regulatory compliance purposes, audits, and internal reviews.
If you want to learn more about how Intenseye uses artificial intelligence to detect missing PPE, schedule a demo with us!
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### How to Identify Hidden Safety Exposure During Non-Routine Work

URL: https://www.intenseye.com/blog/how-to-identify-hidden-safety-exposure-during-non-routine-work

This blog explores why non-routine work such as maintenance, startups, and shutdowns carries disproportionate serious injury and fatality (SIF) risk. It examines how temporary conditions disrupt traditional safety controls and explains how real-time exposure visibility, powered by AI, helps safety teams identify and…

Non-routine tasks—like maintenance, shutdowns, startups, and changeovers—carry a disproportionate share of serious injury and fatality (SIF) risk. These infrequent tasks create temporary conditions, unfamiliar workflows, and tighter timelines that fundamentally alter workplace exposure.
This is a structural safety gap, not just a perception. When standard procedures pause for unusual tasks, the predictable environment safety relies on disappears. To protect workers, EHS leaders must recognize why these shifts happen and how to identify the risks they create.
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What the Data Reveals About Non-Routine Work
Federal investigations show that non-routine operations carry disproportionate risk. The U.S. Chemical Safety Board reports that process safety incidents occur 5× more often during startup than during normal operations, and that 50% of major incidents occur during startups, shutdowns, and other infrequent activities , despite these periods representing a small share of operating time.
At the national level, the Bureau of Labor Statistics recorded 5,283 fatal workplace injuries in the U.S. in 2023, with transportation incidents and falls among the leading causes. Both frequently occur during non-routine work such as maintenance, equipment movement, temporary access at height, and altered traffic patterns.
50%
of major incidents occur during startups, shutdowns, and other infrequent activities — CSB
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Why Traditional Safety Controls Break Down
Most safety systems assume steady-state conditions. Job safety analyses, permits, audits, and observations expect stable layouts, predictable interactions, and known hazards.
Non-routine work upends these assumptions. During maintenance or shutdowns:
Temporary barriers: Walkways and sightlines shift.
Unfamiliar zones: Workers enter rarely accessed areas.
Overlapping teams: Contractors and internal staff share space.
Rapid exposure: Risks increase quickly, often unnoticed.
Risks rarely appear in data until an event occurs—by then, exposure has already built up.
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Shifting from Task Compliance to Exposure Visibility
Reducing risk in non-routine work requires real-time visibility into evolving exposures. Instead of relying on static plans or post-task reviews, leading teams monitor how people, vehicles, and equipment interact during temporary operations.
This visibility enables earlier intervention. Teams can adjust plans, routes, or controls as the task unfolds, rather than reacting after an incident.
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How AI Supports Safer Operations
Intenseye helps teams manage non-routine work by making short-term, high-severity exposures visible as they form. Using on-site data on movement, proximity, and interactions, the platform reveals increased exposure during maintenance, startups, and changeovers—even without incidents.
Exposure is tracked over time and weighted by severity and frequency. Teams can distinguish brief exceptions from patterns signaling elevated SIF risk. Interventions range from real-time feedback to selective hard stops, allowing corrections while work is ongoing.
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Preventing Exposure in Real Time
Non-routine work is unavoidable in industry, and risk arises from changing conditions, not just mistakes.
By focusing on exposure and real-time visibility, rather than after-the-fact reporting, safety teams can prevent incidents before they happen. This proactive approach transforms non-routine work from a source of harm to a managed risk.

### How to improve behavior-based safety through AI

URL: https://www.intenseye.com/blog/how-to-improve-behavior-based-safety-through-ai

Discover how Intenseye’s AI-powered BBS software overcomes traditional safety challenges, ensuring proactive, data-backed workplace safety management.

Behavior-based safety (BBS) systems offer valuable insights into operational safety, and have proven to be effective. However, these systems often encounter challenges in gathering comprehensive data, which can limit their ability to provide a complete picture of workplace safety. These systems are primarily dependent on manual observations, which are subject to observer biases and individual interpretations of safe work practices.
An article by EHS Today shows this by detailing how traditional workplace safety programs, even with extensive knowledge and resources, often fail to achieve continuous improvement and can be ineffective in preventing safety incidents.
As a Certified Safety Professional at Intenseye, I have worked directly with hundreds of safety professionals in various industries. This unique engagement has given me perspective on the challenges and needs of modern safety systems, specifically the importance of adopting innovative solutions to enhance traditional methods.
The challenges of traditional behavior based safety programs
While implementing a BBS program has been foundational in workplace safety management systems, it has inherent limitations that reduce its overall effectiveness:
• Personal bias: The subjective nature of human observations means that data collected often reflects personal experiences and understanding rather than providing objective insights.
• Limited peer-to-peer contribution: Associates may hesitate to bring attention to a colleague or workstation. Even when submissions are left anonymous, the peer-to-peer contributions result in mostly “safe” behaviors observed, providing limited data for meaningful safety improvements.
• Timing of activities: There is often a rush to complete BBS activities at the end of reporting periods to meet targets. This can lead to large windows of time where we are collecting little to no data on the safety performance of the workplace.
• Time-consuming: The manual process of analyzing data for trend identification is labor-intensive and slow, severely limiting the ability to identify and mitigate safety risks proactively. Additionally, the limited amount of data collected can make it hard to identify top areas needing improvement.
These challenges highlight the need for a shift towards more efficient, unbiased approaches in behavior-based safety programs to achieve safer working environments.
Intenseye’s AI-driven approach to BBS programs
Intenseye can transform your behavior-based safety program with artificial intelligence, shifting from manual, reactive processes to proactive, data-driven ones. Our AI-powered EHS management software proactively identifies unsafe behaviors and conditions without bias and provides objective data that leads to actionable insights. This shift allows your teams to quantify risk levels and better prioritize workplace safety improvements.
• Immediate detection and response: Intenseye’s technology instantly identifies unsafe behaviors and conditions, enabling rapid response without the delays of traditional incident reporting.
• Data-driven leadership actions: Equipped with precise, real-time data, safety leaders can take informed actions based on actual safety risks, promoting a proactive approach to workplace safety management.
• Ongoing evaluation of safety measures: Our system continuously assesses the effectiveness of implemented safety measures, ensuring that improvements are effective and results are sustained.
• Focused safety conversations: By pinpointing specific risk areas, our system facilitates targeted discussions and behavior based safety training. This allows EHS teams to spend their time on the floor driving improvements instead of looking for issues.
Through these advancements, Intenseye empowers organizations to not just respond to, but anticipate and mitigate safety issues, fostering a workplace safety culture that prioritizes continuous enhancement and EHS compliance.
Intenseye's real-world impact in BBS management
The transformation in BBS management through Intenseye's AI-driven approach is evident across the industries we serve. To put numbers to the effects, one of our customers used Intenseye’s AI technology to identify 597 unsafe behaviors in the same period during which only 3 were reported manually.
This significant discrepancy not only showcases our system's enhanced detection capabilities but also its crucial role in providing holistic safety data, and correctly prioritizing the most pressing issues.
Additionally, another customer of ours, a major food processing company shared their experience:
"Intenseye's approach really resonates with us, especially how it shifts our focus from merely hitting targets at the end of the month to proactively detecting unsafe behaviors. This allows us to truly prioritize safety over statistics."
This feedback underscores the shift from traditional, compliance-driven safety metrics to a proactive, preventive safety culture that enhances safety outcomes.
Step into the future of safety with Intenseye
Embrace a future where workplace safety is proactive, data-driven, and efficient. Our innovative EHS technology meets the dynamic demands of modern industries and drives a significant shift towards proactive workplace safety management. By choosing Intenseye, organizations can enhance their safety management systems, prioritize the areas of most risk, and build a sustainable workplace safety culture.
Join us in leading the change. Contact us today to discover how our solutions can transform your behavioral safety practices, or schedule a demo to see Intenseye in action.

### How to leverage AI to manage supply chain safety risks

URL: https://www.intenseye.com/blog/how-to-leverage-ai-computer-vision-to-manage-supply-chain-safety-risks

Leverage AI-powered safety management software to easily manage supply chain risks, from compliance to ergonomic safety hazards.

If you’re responsible for keeping workers safe across plants, warehouses, or supplier sites, you know this: safety doesn’t stop at your facility’s gate anymore.
For a long time, occupational health and safety programs were evaluated by how well a single site performed. But that game has changed. Now, EHS leaders are expected to look beyond their walls—to supply chain partners, third-party warehouses, raw material suppliers, and anyone contributing to your business operations.
We’ve interviewed safety leaders across textile, automotive , FMCG, and pharmaceutical industries, and there’s a clear trend: the majority list packaging, warehousing, and logistics as their top EHS concerns.
Where global supply chain safety risks stack up
The expansion of global manufacturing has brought greater complexity—and greater risk.
Safety doesn’t just live at the production line anymore. As safety operations scale globally and outsourcing grows, so do the risk factors . Whether you’re dealing with a supply chain disruption , onboarding new vendors, or adjusting production schedules, workplace injuries can spike if you’re not ready.
Here’s what’s driving up risk in today’s global supply chains :
• Loss of control and visibility – Outsourcing across geographies and relying on third parties creates blind spots in supply chain operations. You can’t fix what you can’t see.
• Underreporting is common – Self-reported incidents often miss the mark, and without hard data, risk mitigation becomes guesswork.
• Contingent workforces – High turnover and inconsistent training increase the likelihood of incidents, especially in high-hazard roles.
• High-risk tasks – From forklift use to working at height, these core operations don’t go away—they need proactive strategies.
• Dynamic conditions – Schedule changes, supplier issues, and raw material delays all increase pressure on frontline teams and reduce the margin for error.
Key stats from warehousing:
In the US, the number of warehouse employees has doubled in the last decade, while the number of warehouses has increased by only 20% between 2013 and 2018.
Warehouse workplace fatalities reached a 12-year high in 2020, with 213,100 warehouse-related injuries and 8,300 warehouse-related illnesses reported.
In 2019 , the warehouse sector in the US recorded the second-highest number of fatal work injuries across industries. Similarly, the transportation and storage industry in the UK ranked fourth in terms of fatal injuries in 2022.
Top 4 warehouse hazards impacting supply chain resilience
If your inventory management depends on safe and timely warehouse ops, you can’t afford these blind spots. These are the top hazards where EHS leaders say they need better tools—and more real-time insight.
1. Slips, trips, and falls
Dynamic workspaces mean hazards pile up quickly—stray pallets, cables, or packaging waste can lead to serious falls. These account for 15% of accidental deaths and 95 million lost workdays per year.
2. Forklift and crushing incidents
Crush injuries are still far too common. Forklifts play a huge role in supply chain operations , but poor training, pedestrian interactions, and tipping risks make them one of the top threats on the floor.
3. Overexertion injuries
Manual lifting is still a core part of warehousing—even with automation on the rise. These injuries remain one of the most common and costly across industries.
4. Falls from height
Improper tool use—like climbing racks or using the wrong gear—is a persistent problem. And in fast-paced environments, shortcuts can turn into serious injuries.
Using AI to strengthen supply chain risk management
Whether you’re working to prevent workplace injuries at your own site or improving safety across third-party vendors, predictive analytics powered by AI can help you get ahead of potential risks .
At Intenseye, we work directly with safety teams to bring real-time visibility into their supply chain operations—from the factory floor to the furthest distribution hub.
Here’s how we help EHS and Ops leaders improve supply chain risk management:
• Spot issues early – AI computer vision scans for unsafe behaviors, missing PPE, or blocked exits in real-time.
• Bridge the gaps – Improve supply chain resilience by seeing what’s happening at third-party sites and contract facilities across regions.
• Enable smarter decisions – By analyzing video, NLP, and historical trends, our platform helps safety leaders develop long-term mitigation strategies.
• Support vendors – Better data allows you to collaborate with suppliers, build accountability, and align on safety standards.
• Tackle internal supply chain risks – From environmental risks to ergonomic issues, our tools help surface high-risk patterns and reduce reliance on lagging indicators.
Bringing precision and visibility to supply chain risk management
Intenseye’s real-time safety management is built for EHS teams who need to act quickly—without waiting on outdated reports or manual safety inspections. With 50+ pre-trained safety rules, the system is ready to plug into real-world operations and start surfacing risks from day one.
Our clients aren’t just using AI to generate dashboards—they’re solving real problems:
• Identifying overlooked safety hazards in contractor-managed warehouses
• Supporting remote teams with real-time insights from facilities across different regions
• Strengthening accountability across supply chain partners by improving the accuracy and speed of reporting
• Tracking leading indicators of workplace injuries instead of relying solely on lagging metrics
From missed PPE on loading docks to unsafe ergonomics at packaging lines, the platform continuously scans for high-risk behaviors and environmental risks, helping safety teams focus their efforts where it matters most.
Handling supply chain risk management with AI
At Intenseye, we address 80% of these top hazards through our pre-trained, off-the-shelf, easy-to-deploy EHS use cases with high accuracy rates. Moreover, Intenseye can help you proactively manage these risks, rather than relying on lagging indicators:
• Intenseye will identify unseen hazards, assess their severity and frequency, and enhance communication quality through real-time images, video alerts, analytics, and task management tools
• Intenseye will enhance visibility to third-party sites in other countries or remote workplaces, bridging the gap between the shop floor and corporate offices, and empowering key decision-makers with real-time data. The contractor management process will be supported by comprehensive analytics.
• Intenseye helps reduce biases in reporting and encourages top vendors to be more transparent about their concerns. This fosters better data quality and risk management.
• Intenseye enables organizations to design better interventions tailored to the local context, particularly for Emerging Market (EM) suppliers. This improves workforce conditions in alignment with the UN’s Sustainable Development Goals (notably, SDG 8) while creating long-lasting social impact.
Our experienced team will assist you in getting started as quickly as possible and ensure you leverage the right safety scenarios for your pain points. Book a demo with us and learn how Intenseye can help you achieve your safety goals.

### How to reduce CCTV video streaming bandwidth usage

URL: https://www.intenseye.com/blog/how-to-reduce-cctv-video-streaming-bandwidth-usage

Explore how to reduce bandwidth consumption on video streaming and CCTV systems by optimizing the video quality settings.

CCTV systems and video streaming are everywhere.
Video streaming and CCTV systems play essential roles in our day-to-day lives, providing us with entertainment, education, and security, especially in manufacturing facilities, warehouses, retail stores, and homes. However, streaming video data from CCTV systems to the cloud for storage, augmented AI analysis, or computer vision systems can consume a lot of bandwidth. This can result in slower internet speeds and increased costs for internet services. In this blog post, we explore some ways to decrease bandwidth consumption on video streaming and CCTV systems by adjusting the video quality settings.
Intenseye's technical solution team, consisting of video streaming professionals, helps customers minimize bandwidth consumption while optimizing the streamed video quality of CCTV cameras. This enables high-accuracy AI analysis even with low-quality videos.
There are various settings that we can adjust to find the sweet spot
Thanks to advancements in camera technology, processors, software, and AI, there are numerous settings on cameras and video recorders that provide a balance between video quality and bandwidth consumption.
1. Resolution
Resolution refers to the number of pixels on a screen. The higher the resolution, the clearer the image, but it also means larger file sizes and more bandwidth consumption. By reducing the resolution from 1080p to 720p or 480p, you can significantly cut down on bandwidth usage.
By reducing Full HD resolution (1920x1080) to HD resolution (1280x720) with the same codec and FPS settings, the total bandwidth consumption for streaming and storage is decreased by 60%.
Full HD (1920x1080)
Number of cameras 1
Resolution 1920x1080
FPS 25
Codec H264 Main
Bandwith \~2,5 Mbps
‍
HD (1280x720)
Number of cameras 1
Resolution 1280x720
FPS 25
Codec H264 Main
Bandwith \~1,1 Mbps
‍
Intenseye AI can detect small objects such as gloves, protective glasses, and hardhats, even from low-resolution frames. It is mostly trained using 480 to 720p images collected from its customers' CCTV systems. Despite this, Intenseye does not sacrifice the accuracy of its AI.
2. FPS
FPS (Frames per second) refers to the number of frames displayed on the screen per second. Higher FPS results in smoother video playback, but also requires more bandwidth. To reduce bandwidth consumption, consider reducing the FPS from 25 to 15 or 10, as the FPS is directly proportional to bandwidth usage.
For example, if the FPS is decreased from 25 to 8 while keeping the same resolution and codec settings, the total bandwidth and storage consumption will decrease by 70%.
25 FPS
Number of cameras 1
Resolution 1920x1080
FPS 25
Codec H264 Main
Bandwith \~2,5 Mbps
‍
8 FPS
Number of cameras 1
Resolution 1920x1080
FPS 8
Codec H264 Main
Bandwith \~0,8 Mbps
‍
Intenseye AI is capable of tracking high-speed vehicles such as forklifts and trucks in manufacturing facilities and warehouses, with a frame rate of 6-8 FPS. This tracking feature uses a prediction algorithm developed by Intenseye's deep learning research engineers, specifically designed for health and safety use cases.
3. Codec
Codec refers to the software used to compress and decompress video files. Different codecs have different compression ratios, and some codecs require more bandwidth than others. Choosing an efficient codec can significantly reduce the bandwidth consumption.
Almost all IP cameras on the market support the H264 codec, while many manufacturers also include H265 (HEVC - High Efficiency Video Coding) in their camera software. While H264 has different codec profiles - baseline, medium, and high - H265 has a single configuration that enables 40% better compression than H264-Main.
H264 Main
Number of cameras 1
Resolution 1920x1080
FPS 25
Codec H264 Main
Bandwith \~2,5 Mbps
‍
H265 (HEVC)
Number of cameras 1
Resolution 1920x1080
FPS 25
Codec H265 (HEVC)
Bandwith \~1,4 Mbps
‍
Intenseye supports both H264 and H265 codecs, but recommends that customers use H265 for more efficient bandwidth consumption when streaming data to the Intenseye cloud. This also reduces the required storage space when saving CCTV footage internally.
4. Key frame interval
Key frame interval refers to the frequency of keyframes in a video stream. Keyframes contain all the information needed to display a frame, while non-keyframes only contain the information that has changed since the last keyframe. Increasing the keyframe interval can help to reduce bandwidth consumption.
When comparing the package sizes of key and non-key frames, you can monitor the significant difference in the amount of transmitted data through the network. This difference in size also varies according to the motion in the intermediate frames. If there is a lot of motion in the camera view, then the key-frame interval should be set lower to keep the video streaming smoothly without any data losses or corruptions during decoding.
Intenseye sets the optimal value for each camera to maintain a balance between stream quality and bandwidth consumption.
5. Video quality
The video quality setting is independent of the resolution of the frames. You can have two separate video streams with the same resolution, yet very different qualities. Video quality refers to the overall clarity and visual appeal of the video. Lowering the video quality can help reduce bandwidth consumption. However, it's important to find a balance between quality and bandwidth consumption.
The difference between H264-Main High Quality and Low Quality is about 70% in terms of bandwidth consumption, assuming all other parameters are the same. It is sufficient to keep the video quality on Medium for Intenseye to provide high accuracy object detection, such as hearing muffs, sleeves, and face masks.
6. Bitrate type
Bitrate type refers to the encoding method used to compress video files. There are two types of bitrate: Constant Bitrate (CBR) and Variable Bitrate (VBR). CBR maintains a consistent bit rate, while VBR adapts to the complexity of the scene. Choosing the appropriate bitrate type can help to reduce the bandwidth consumption.
Intenseye always recommends using variable bitrate for cameras that support maximum bitrate settings. This is because the camera can adjust the bandwidth consumption according to the motion in the camera's view, thereby preventing high bandwidth consumption. VBR adjusts the optimum bitrate needed to stream video frames.
7. Maximum bitrate
Maximum bitrate refers to the maximum amount of data that can be transmitted per second. Setting a lower maximum bitrate can help reduce bandwidth consumption. However, finding the sweet spot between the other settings and the maximum bitrate is crucial. If the maximum bitrate is not high enough to stream the video with high resolution and FPS, it can lead to data losses and other issues in the streamed video, such as corruptions and frozen frames during decoding.
Intenseye's internally-built bitrate calculator helps its customers find the sweet spot between other settings and the maximum bitrate to be set. This maximum bitrate setting is crucial to ensure that excessive bandwidth consumption stemming from streaming CCTV data to the Intenseye cloud does not affect other systems.
8. Stream Profile (Codec)
The Stream Profile refers to the type of stream used in the H264 codec. There are three types of streams: Baseline, Main, and High. Baseline is the most efficient stream type, while High is the least efficient in terms of power and CPU consumption. However, the High stream profile compresses video data in higher ratios than medium and baseline. There is a trade-off between the stream profiles provided by H264 in compression and resource consumption; better compression requires higher resource consumption.
H264 Baseline
Number of cameras 1
Resolution 1920x1080
FPS 25
Codec H264 Main
Bandwith \~3,5 Mbps
‍
H264 High
Number of cameras 1
Resolution 1920x1080
FPS 25
Codec H264 High
Bandwith \~1,9 Mbps
‍
Choosing the appropriate stream profile can help reduce bandwidth consumption. If cameras or video recorders have sufficient resources such as CPU and memory, Intenseye always recommends setting the highest compression for customers, as long as the devices can support it.
Calculating bandwidth consumption is easy
There are many online tools that can help you determine the required bandwidth for streaming video at different qualities. To find these tools, simply search for "CCTV Bandwidth Calculator" on Google.
Now, let's compare the bandwidth consumption of a regular CCTV video system to the bandwidth requirements for Intenseye's EHS video analytics system, which streams 50 cameras to the cloud.
Regular settings
Number of cameras 50
Resolution 1920x1080
FPS 25
Codec H264 Main
Bandwith \~123 Mbps
‍
Intenseye settings
Number of cameras 50
Resolution 1280x720
FPS 8
Codec H265
Bandwith \~10 Mbps
‍
As shown in the tables above, changing only the codec, resolution, and FPS to even numbers can reduce total bandwidth consumption by approximately 92%. Intenseye collaborates with its customers' network and security teams to apply optimized settings for the lowest possible bandwidth consumption while maintaining maximum AI accuracy.
In conclusion, adjusting the video quality settings can significantly reduce the amount of bandwidth consumed by video streaming and CCTV systems. By adjusting the resolution, FPS, codec, key frame interval, video quality, bitrate type, maximum bitrate, and stream profile, you can reduce the impact on your internet connection while maintaining a high-quality video streaming and CCTV experience. However, it is important to keep in mind that video streaming is like a river flowing down from snowy mountains; you can estimate the flow based on the weather over time, but it will always vary according to the total precipitation on the mountains, just like the motion in video frames.
‍

### How to reduce unsafe acts & conditions

URL: https://www.intenseye.com/blog/how-to-reduce-unsafe-acts-conditions

Learn how to reduce unsafe acts & conditions with AI-powered safety management software.

Unsafe acts and unsafe conditions are two of the leading contributors to workplace incidents. An unsafe act refers to any behavior that increases the risk of an accident, such as bypassing safety procedures or using safety equipment improperly. An unsafe condition , on the other hand, includes environmental or mechanical hazards—like poor lighting, faulty machinery, or blocked emergency exits.
To effectively reduce these risks, organizations need a proactive strategy that identifies hazards before they lead to injuries.
One important aspect of achieving this is by identifying and learning from unsafe acts and conditions to have a proactive approach to avoid possible workplace accidents and injuries in an early phase.
According to OSHA , the main goal of safety and health programs is to prevent workplace injuries, illnesses, and deaths, as well as the suffering and financial hardship these events can cause for workers, their families, and employers.
A proactive approach to managing workplace safety and health is a more effective approach than traditional, reactive methods that address problems only after a worker is injured or becomes sick, a new standard or regulation is published, or an outside inspection finds a problem that must be fixed.
The steps to mitigate unsafe acts & conditions
But by focusing on achieving goals, monitoring performance, and evaluating outcomes; workplaces can progress along the path to higher levels of safety and health achievement.
Implementing these recommended practices also brings other benefits such as reducing costs , including significant reductions in workers’ compensation premiums, engaging workers, enhancing social responsibility goals, and increasing productivity and overall business operations.
By taking a proactive stance with AI-powered safety management software, we can learn from unsafe acts and conditions and prevent future incidents from occurring. Here’s a roadmap to reduce unsafe acts and conditions:
Identify the root cause of the unsafe act or condition
Look for the underlying causes that contributed to the unsafe act or condition.
Generate corrective actions
Once you have identified the root cause of the unsafe conditions and acts, you can develop a plan to correct the issues. This may involve amending safet procedures, providing additional training, or implementing new controls to prevent similar safety incidents from occurring in the future.
Monitor and evaluate the effectiveness of the corrective actions
Once the corrective actions have been implemented, it is important to monitor and evaluate their effectiveness in preventing unsafe acts from occurring in the future. This includes collecting data and analyzing it to determine whether the corrective actions have been successful.
Document and share the results
Document the impact of the corrective actions and engage all the parties involved to show how their corrective actions helped to have a safer workplace.
How can safety management software help to reduce unsafe behavior
One powerful EHS management software that can help safety teams take proactive steps toward safety is Intenseye’s AI-powered workplace safety software, which can observe 24/7 and provide real-time data on conditions and behaviors in the workplace. One way our customers are using Intenseye’s technology is by analyzing 12-second video footage from the frontline.
Each piece of footage tells a unique story, and by asking questions and prompt conversation, it allows learning to identify root causes and fix them systematically. Intenseye also creates daily, monthly, quarterly, and shift-based reports in various formats from real-time data!
EHS managers then use the Intenseye Task Management module — a powerful tool designed to develop & implement corrective actions. The module includes a toolbox talk feature that allows EHS teams to easily communicate with frontline teams, assign tasks, set due dates, and collaborate with team members using comments and attachments. With the Task Management module, safety teams can:
Easily create and assign tasks
Reach solutions list prepared by our EHS experts for each use case
Continuously assess working bodies for ergonomics risks with ergonomics software ‍
Track corrective actions from creation to completion
See the total impact of task completion on the total alert count and compliance score.
Through the use of Intenseye’s AI-powered workplace safety software, EHS teams can identify and address unsafe acts and conditions in the workplace proactively and can learn from unsafe acts & conditions efficiently!
If you’re interested in learning more about how Intenseye’s technology can help your organization create a safe and trustworthy workplace, schedule a demo with us.
‍

### How was Intenseye born?

URL: https://www.intenseye.com/blog/how-was-intenseye-born

Discover the story behind Intenseye—Discover how one question sparked Intenseye’s mission to transform workplace safety with real-time, ethical, and scalable protection.

This is me 7 years ago, making ice cream to learn about safety. People ask me all the time: “Why did you start Intenseye?”
It started with a search for impact. A drive to change something meaningful in the world. A need to build a solution that would set a new industry standard. Something that would make us look back one day and say, 'Before Intenseye, things were different. '
When we first met with safety teams, we immediately fell in love with the challenge and the mission. But it all started with a single question.
We visited a flagship facility of a global manufacturer—one of the most advanced plants in their industry, equipped with the latest technology. Yet, their recordable incidents were rising or, at best, stagnating year over year.
They ran three shifts, with an average of 300 workers per shift. As safety leaders walked us through the shop floor, they pointed out the problem areas and explained the challenges. Later, I sat down with their VP of Safety and asked:
" If your CEO walked in today and gave you an unlimited budget, what would you do to protect your frontline teams? "
I thought he’d take a moment to reflect. Instead, his answer was immediate:
" I’d hire 900 supervisors—one for every worker, across every shift—to watch over them, guide them, and keep them safe. "
That was the moment.
As a software engineer, my mind raced to give him exactly that—but with AI.
• What if we could turn existing cameras into digital supervisors?
• What if we could protect workers in real time—reminding them about PPE, detecting risks, and delivering insights for the next morning’s toolbox talk?
• What if we could do this 24/7, with an ethical AI designed to support frontline teams, not replace them?
That’s how Intenseye was born.
From that moment, I visited over 50 manufacturing facilities across 20+ industries within the first 18 months of Intenseye's inception. I sat down with workers, supervisors, plant managers, and executives—hearing firsthand about amputations, life-altering injuries, and the leadership teams, unions and workers themselves desperate for a solution.
They had installed engineering controls, invested in training, and built strong safety cultures.
But the human element remained unpredictable.
High turnover made proper onboarding difficult. New hires took time to adjust to safety protocols. And despite everyone’s best efforts, incidents still happened.
From day one, we knew EHS expertise was non-negotiable. We built our product alongside safety leaders, ensuring it solved real challenges on the floor. Today, our platform is shaped by safety experts with a combined 65+ years of industry experience, continuously evolving to help protect workers every single day.
Ready to implement real-time safety management in your safety operations? Talk to an expert today!

### Inside the EU AI Act and its implications for EHS

URL: https://www.intenseye.com/blog/inside-the-eu-ai-act-and-its-implications-for-ehs

What does this brand-new EU AI act mean for EHS and the future of AI? Let’s crack on to see how it might shape AI adoption and regulation moving forward.

European Parliament's approval of the Artificial Intelligence Act on March 13, 2024, marked an unprecedented milestone in AI regulation. This legislation not only sets forth new guidelines focused on reducing risks while supporting the innovation of AI technologies – but it also holds considerable implications for workplace safety across industries.
Let’s take a closer look at key elements of the EU AI Act, examine Intenseye’s perspective, and assess what this legislation could mean for the future of environmental health and safety (EHS) initiatives in Europe and beyond.
What is the EU AI Act?
The EU AI Act is the world's first major piece of legislation aimed at regulating artificial intelligence. It seeks to ensure safety, protect fundamental human rights, and foster innovation by introducing stringent rules for high-risk AI applications while promoting transparency, accountability, and ethical deployment of AI technologies.
When will the AI Act come into force?
Although the Act is approved by the European Parliament, it is yet to be published in the EU Official Journal. It will enter into force 20 days after its publication in the EU Official Journal. Its provisions regarding prohibited AI systems will be applicable after 6 months, provisions regarding general purpose AI after 12 months, and the rest after 2 years.
Who will need to comply with the Act?
The Act applies to providers/developers, importers, distributors and deployers of AI systems that are marketed, sold, and/or used within the EU. As an AI solution provider and developer with a robust operational footprint and install base in the EU, after the AI Act enters into force, Intenseye will need to demonstrate compliance with this legislation in compliance with the deadlines stated therein.
The same goes for our dozens of customers that are located in the EU. However, some cases are outside the scope of the Act, such as AI developed and put into service exclusively for military or scientific research and development, and any research, testing and development regarding AI before being placed on the market/put into service (excluding real-world testing).
Key elements of the EU AI Act
The EU AI Act is extensive, comprising 12 core sections with dozens of articles and annexes spanning hundreds of pages of text. Intenseye has identified the following elements to be among the most relevant to workplace safety and the broader operational landscape:
The Act classifies AI systems by defined levels of risk
Harm reduction is the overarching objective of this legislation, which sets forth varied criteria that classify different types and uses of AI systems based on whether they are deemed to pose unacceptable , high , limited , or minimal risks of harm. The riskier the classification, the more stringent the Act’s requirements.
• Systems with unacceptable risks present a clear threat to the fundamental rights and freedoms of people and are prohibited.
• High-risk systems negatively affect the safety or fundamental rights and include systems that are used in products falling under the EU’s product safety legislation (such as toys, cars, and medical devices) and systems falling into specific areas that will have to be registered in an EU database (such as critical infrastructure, educational and vocational training, law enforcement, employment etc.). Most of the Act addresses high-risk systems.
• In case of limited risk systems, providers must ensure that users are informed of the nature of the systems, such as the fact that they are interacting with an AI or the content provided is created by AI.
• Minimal-risk AI systems have no restrictions.
Intenseye’s perspective
‍ Harm reduction should always be central to both policy and business decisions, so the fact that the Act is rooted in this objective is encouraging. At the same time, it will be crucial for policymakers to continually reassess the Act’s definitions and categorization of risk levels to ensure they remain current. Static legislation is no match for the rapid pace at which AI innovations – and the risks they pose – are emerging and evolving.
The Act bans AI systems that pose “unacceptable risks”
The Act prohibits AI systems that employ manipulative/subliminal/deceptive techniques to distort people’s behavior by impairing their ability to make an informed decision, social scoring, systems exploiting people’s vulnerabilities due to age, disability or socioeconomic situation that may cause significant harm, systems predicating criminal behavior, biometric categorization, biometric identification, facial recognition, or systems to infer emotions of a natural person in workplaces and education institutions (except for medical or safety reasons). Exceptions are made for law enforcement and national security purposes.
Intenseye’s perspective
‍ We have long recognized the critical risks posed by technologies that violate privacy or other personal rights – especially in the context of EHS – which is exactly why we’ve irreversibly embedded privacy-by-design principles into our workplace safety solutions and use techniques such as pseudonymization and 3D-anonymization. We do and will continue to ensure that our product is compliant with the applicable legislation and that the risks arising from its operations are minimal.
The Act sets forth additional requirements for AI systems in “high-risk” sectors
High-risk systems by definition pose a significant risk of harm to the health, safety or fundamental rights of natural persons.
The Act sets forth the criteria for determining whether a system can be considered high-risk, except for systems that are explicitly stated in the Act and its annexes as high-risk (such as systems in the areas of biometrics, critical infrastructure, education and vocational training, employment, essential private and public services, law enforcement, migration and administration of justice and democratic processes).
The Commission will provide guidelines for the identification of high-risk systems after the Act comes into force.
High-risk systems are subject to transparency, governance, risk management, documentation, accuracy, cybersecurity, oversight, quality management and data management obligations under the Act. Compliance with these requirements ensures accountability and fosters trust in AI technologies. The obligations vary depending on the actor (whether it is a deployer, provider, importer, distributor etc.)
Intenseye’s perspective
‍ As mentioned above, the AI Act mostly regulates high-risk systems and provides a comprehensive, detailed and protective legal framework for the production, release, sale, distribution and use of high-risk systems, especially to ensure transparency, quality of service and security. The proposed framework protects the rights of natural persons without significantly undermining the development of the market.
As the Act comes into force and the implementation of the Act becomes clearer, Intenseye will take the necessary steps to ensure its services are compliant and its customers’ legal rights are protected. In general, we regard the framework stipulated by the Act as a positive development to ensure the protection of the health, safety, or fundamental rights of natural persons. However, it will be a substantial undertaking for Intenseye, its customers and business partners to ensure that the Act is fully complied with.
The Act requires clear labeling of AI-generated content
Providers of AI systems will be required to label AI-generated content and develop detectable AI systems to combat misinformation.
Intenseye’s perspective
‍ Establishing trust is crucial for fostering innovation, productivity, and a positive culture of safety in the workplace. Distinguishing and communicating content that has been AI-generated content is essential for mitigating misinformation and promoting ethical AI usage in the workplace and beyond. All alerts, visual analytics, and other outputs of Intenseye’s AI-powered solutions have always been – and will continue to be – clearly marked as such.
The Act regulates general-purpose AI
General purpose AI are not necessarily classified as high-risk, but they will have to comply with transparency and copyright regulations (such as disclosing that the content was generated by AI and preventing the model from generating illegal content).
Intenseye’s perspective
‍ General-purpose AI is on the rise and used in various sectors extensively, both as an independent service and as supportive tools integrated into other products. Considering the risks associated with general-purpose AI (including hallucinations – erroneous outputs), the requirements set forth by the Act regarding transparency and copyright are certainly required to mitigate the risks associated with such systems and protect users.
The Act creates processes for reporting AI misuse
The Act establishes the European AI Office, which will monitor the implementation of the Act and will allow EU citizens to lodge complaints about AI systems' adverse effects. This initiative aims to empower individuals and drive accountability in AI usage across industries.
Intenseye’s perspective
‍ Empowering citizens in the face of AI is significant. However, achieving this will require promoting societal AI literacy to understand algorithmic harms and ensure accountability.
The Act envisions a regulatory sandbox
The Act specifies that member states should establish at least one AI regulatory sandbox at the national level, which can also be established jointly with other member states. Additional sandboxes at the local, regional, or EU level can also be established.
Intenseye’s perspective
‍ Establishing sandboxes for AI development will encourage innovation, entrepreneurship and competition while facilitating supervised development and ensuring that such systems are configured in compliance with the Act.
Looking ahead
As businesses navigate the implications of the EU AI Act, it will remain essential to prioritize transparency, compliance, and ethical development in all uses and initiatives involving AI. Intenseye is proud to have long been a vocal proponent and embracer of these concepts within our workplace safety solutions – and we look forward to continuing to support our customers on their safety journeys as the regulatory landscape evolves.
‍

### Intenseye Named WEF Global Innovator: A New Era for Safety

URL: https://www.intenseye.com/blog/intenseye-named-wef-global-innovator-a-new-era-for-safety

Intenseye joins the World Economic Forum’s Global Innovators community, advancing applied AI for industrial safety and real-time risk prevention.

Intenseye has been recognized as a Global Innovator by the World Economic Forum (WEF), marking an important milestone in our growing collaboration with the Forum and its Innovator Communities. This transition reflects more than growth. It signals a shift in how industrial safety, applied AI, and frontline work are viewed on the global stage.
The Global Innovators community brings together companies that are deploying emerging technologies at scale and contributing real-world insight to conversations about the future of work, manufacturing, and human–machine collaboration. For Intenseye, this recognition reinforces the pivotal role industrial safety now plays in shaping those conversations.
Why Industrial Safety Has Become a Global Issue
Workplace safety is often treated as a local operational concern — something managed facility by facility. In reality, it has evolved into a global systems challenge with direct implications for workforce stability, productivity, and supply chain resilience.
Preventable injuries continue to cost millions of workdays each year. At the same time, manufacturers are facing persistent labor shortages, aging workforces, and rising pressure to maintain output amid disruption. Unsafe environments compound all of these challenges by driving absenteeism, turnover, and operational downtime.
As manufacturing becomes more interconnected, the impact of safety failures no longer stops at the facility level. A single incident can ripple across regions, suppliers, and markets, creating systemic risk that traditional models struggle to contain.
The Limits of Traditional Safety Models
Most safety programs were built for a different era. They rely heavily on lagging indicators, periodic audits, and manual observation. While these tools provide value, they struggle to keep pace with dynamic, high-risk environments.
SIFs are rare by nature, which makes them poor signals for prevention. Audits offer snapshots in time rather than continuous visibility. Consequently, safety teams are often forced to react after risk has already escalated.
This is not a failure of intent or expertise. It is a structural limitation of systems that were never designed to detect risk as it unfolds.
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How Applied AI Changes Risk Management
Applied AI introduces a different way to manage safety. It does not replace people or automate high-stakes decisions. Instead, it reveals patterns that are otherwise invisible to the human eye.
When AI is deployed responsibly in physical environments, it can identify leading indicators of risk in real time. Subtle changes in behavior, proximity, or exposure that precede serious incidents become visible early enough to intervene.
The impact comes from anticipation, not alerts. The goal is to reduce high-severity exposures and close calls, giving safety teams the time they need to act before harm occurs.
Human–Machine Collaboration in Practice
In industrial settings, AI does not operate in isolation. It works alongside people who understand the context, constraints, and realities of the job.
Effective safety systems are designed to support human judgment, not override it. They provide timely insight, reduce cognitive load, and enable faster, more informed decisions. Just as important, they are built with privacy, fairness, and worker trust at the center.
Responsible deployment matters most where the consequences are physical and immediate. This is where theory meets reality, and where the right technology can save lives.
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Real-World Insight in Global Dialogues
Much of the global conversation around AI focuses on digital environments. Industrial settings introduce a different set of challenges, where humans and machines share physical space and risk cannot be abstracted away.
Real-world deployment surfaces questions that policy frameworks alone cannot answer. How do you measure impact beyond efficiency? How do you design systems that workers trust? How do you scale AI responsibly across diverse facilities and cultures?
These are the questions that shape meaningful progress. They require insight from environments where AI is already operating under real constraints.
Safety as a Strategic Advantage
Forward-looking organizations are beginning to recognize safety as a driver of competitiveness, not just compliance. Safer workplaces attract and retain talent, reduce disruption, and create the conditions for sustained productivity.
This shift is especially visible in manufacturing, where workforce availability and resilience are now strategic priorities. Investing in safety is increasingly tied to innovation, employee engagement, and long-term performance. Safety has moved from the margins of business strategy to its core.
Key Takeaway
Safer workplaces attract and retain talent, reduce disruption, and create the conditions for sustained productivity.
What the Global Innovator Role Enables
Joining the World Economic Forum’s Global Innovators community reflects Intenseye’s experience operating at the intersection of AI, industrial environments, and workforce safety. It also carries a responsibility.
The role of a Global Innovator is not to promote technology, but to contribute insight. To share what works, what does not, and what needs to change as AI continues to shape the future of work.
Through this collaboration, Intenseye will continue to bring frontline perspective into global discussions on applied AI, responsible deployment, and human–machine collaboration.
Progress in safety will not come from any single company. It will come from shared learning, aligned frameworks, and a collective commitment to protecting the people who keep industry moving.
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### Interview with the Wire Journal International

URL: https://www.intenseye.com/blog/intenseye-qa-on-the-use-of-ai-for-safety

Read our interview with the Wire Journal International and learn how Intenseye uses artifical intelligence to prevent safety incidents.

**Before we ask about what you do with AI, what sets you apart from other companies with similar technology?**
What differentiates us from the other companies out there is that we are solely
focused on EHS. Our AI platform processes 300,000 images daily and to date has
processed more than 16.5 million hours of visual data in total and still
counting. The platform provides you with 40+ pre-trained use-cases developed
through the interviews made with requests and feedback gathered from clients in
various industries. Yet, the platform is flexible enough to anticipate the
industry-specific requirements. The Intenseye team analyzes and alters the
use-cases according to the customer’s needs as much as possible. Our customers
pay no extra fees for development efforts and lose no time with long analysis
sessions. It’s just implementing, setting up and starting EHS compliance and
analysis in hours.
**How does your AI technology track multiple employees, and what exactly is it seeking and how does it know what to look for?**
We get connected to the existing CCTV cameras in our clients’ facilities very
quickly. We have 40+ enterprise-ready, proven to plug and play use cases with
high accuracy levels. Our use-cases are all employee health and safety-related
focusing on high-risk activities that are leading to life-altering events,
including fatalities. Our customer success team guides our clients as part of
our onboarding pack and helps to set the rules together with our customers.
Setting up rules is very simple in the form of a drag and drop. After a few
hours of induction, our clients are set to go!
**Do you have a basic program that works for any manufacturing operation that you adjust for different sectors? How difficult is it to do that for wire and cable manufacturing? Are you able to offer this now?**
One great news here is that we are industry and sector agnostic. We operate in
multiple sectors, ranging from manufacturing to logistics, from oil and gas to
retail. So, when I look at the wire and cable manufacturing, the vast majority
of the EHS related risk factors are around getting stuck in between moving
objects, being hit by moving objects, working at heights, restricted work
locations, walking under suspended loads and ergonomics. All these use cases are
available in our core AI pack.
**What happens when the AI sees a potentially dangerous action? Who gets notified, can such notifications ever be used against the company if there's an accident?**
It is basically up to the users of our platform, however they wish the follow-up
to be. You can get the notification on your mobile phone as an SMS, or email or
just get it on the platform as a data point that will be reported to you on a
regular basis. Additionally, since the AI is working 24/7 in real time, you can
integrate alerts with the smart devices in the field as well. For instance, you
can hook it up to an IP loudspeaker, or an IP visual alarm so that you can get
the workers notified in real time as well. Those notifications, in our
experience so far, are not being used against a company. In fact, we as a
company seek to empower the workforce to help them save their own lives.
**Can you describe the actual results from the use of your AI? Did getting notifications of unsafe acts & conditions result in changes in employee behavior? Is there potential for reduced workers comp insurance rates?**
Intenseye sees the “unseen” 24/7. When Intenseye captures unsafe conditions, we
encourage our clients to talk to the workers and teams at the frontline, openly.
It is so crucial to invite the frontline workforce to talk about the reasons why
the unsafe act or situation occurs. As a company, we strongly believe that
“context drives the behavior.” Thus, we steer the leadership of our clients to
address the systemic level issues, to be able to provide the right context where
people can work safely. And indeed the incident rates are going down and the
compliance rates increase over a short time period. One of our successful
customers picked the right priorities thanks to the insights from Intenseye and
identified the systemic deficiencies that cause injuries related to manual
handling. They worked collectively with their frontline workers to fix these
issues and made compliance easier for them. We observed an improvement in the
count of unsafe alerts by 65%.
**Has your use of AI evolved since it was first deployed? Does it evolve as there is more experience in a given field? Can a single motion be interpreted by AI as a danger when it may not be, and could there be hundreds of such violations that could overwhelm a company?**
AI has evolved hugely since first deployed, actually we have been growing based
on the requests from our customers. We turn the newly captured data into
training data so that the AI is being fed with more data continuously. I’d like
to emphasize the fact that we are super transparent when it comes to showing our
accuracy rates to our customers. This way, we hold ourselves up to the challenge
of continuously improving the accuracy rates. Accuracy rates are one of our main
differentiating factors especially because our focus is to save lives and
prevent incidents.
**Your company offers customer demos: What exactly do these show and how relevant are they to a typical wire and cable manufacturer?**
Demos take about 60-90 minutes where we present our platform, how to set up
rules and how it works in a real site example. We also provide examples of how
we create value for the clients. It is very relevant to the wire and cable
manufacturers as well. Most of the EHS use cases are addressing the typical
high-risk activities in wire and cable sector.
**How have employees responded to this usage? Is there a “big brother” sense of being watched that makes this a challenge for some potential deployments? Can this be used to look for lazy or slacking employees too?**
This is a highly controversial issue that we take extremely seriously. At
Intenseye we are proudly committed to 100% ethical AI. We are fully compliant
with GDPR (i.e., faces are blurred, no facial recognition and biometrics are not
captured). This is a red line for us! As a deeply woven company value, our team
endorses “human performance principles,” i.e., We believe it is not the people
who make violations willingly, it is the system/context around them which drives
that behavior. Thus, our focus is to fix the systemic issues which make
compliance difficult. We work with our clients very closely to ensure
Intenseye’s real-time insights are being used to create a psychologically safe
work environment where frontline workers are empowered to speak their minds and
concerns with management because people are the best solutions to the issues.
We’re thrilled to continue our journey to bring technology to the service of
people to save more lives!
**Is your company part of a vanguard that will take years and years to get traction?**
We see ourselves as a company that is spearheading a bold movement with the
noble purpose of saving lives. Most processes in EHS are still manually managed.
People are using paperwork while they do their inspections only a few times a
day. With AI technology, we automate this process and bring in real-time
insights from the field. Also, we don’t think that this is going to take years
and years. Our customers are very happy with Intenseye and many that have
decided to scale up within a couple of months of the trial phase have already
seen the value of it. I would like you to remember that technology is
progressing rapidly, and if you want to use novel ways to save lives and prevent
serious injuries at your workplaces and do this in a cost-efficient way (at a
fraction of the overall annual PPE cost), I strongly recommend you to visit our
website, follow us on LinkedIn and give us a shout!

### Intenseye TV: Safety Data Belongs on the Floor

URL: https://www.intenseye.com/blog/intenseye-tv-safety-data-belongs-on-the-floor

Intenseye TV displays live safety compliance data on any floor-mounted screen. Same-day setup, real-time alerts, and no training required.

Most safety data lives in dashboards. They are good for seeing trends, but they were not built for the moment a supervisor needs to act. They take time to pull up, time to interpret, and time that shift leaders on a busy floor simply cannot afford.
Intenseye TV changes that. It is a live display mounted wherever your work happens, whether that is the factory floor, the warehouse entrance, or the control room, showing real-time compliance data for any safety rule configured in the Intenseye platform. The latest alerts are visible at a glance, so the gap between detection and action is smaller than it has ever been.
Three steps to go live
Getting started takes three steps. Connect a mini PC to a monitor, open Chrome, and log in. The screen shows live compliance data and updates every 5 seconds, with no maintenance required after setup.
Connect a mini PC to a monitor and your network.
Open Chrome and navigate to tv.intenseye.com .
Log in with your Intenseye credentials and select your rule.
For facilities already running Intenseye, it is same-day deployment.
What is on screen
The display shows the most recent safety alert with AI-generated visual overlays, a daily compliance summary broken down by compliant and non-compliant events, a live system status timestamp, and a location header identifying the site, area, camera, and rule being monitored.
Workers walking past get a real-time picture of how their area is performing. No training is required to read it.
Why it works
Visibility is one of the most underused levers in safety culture. When performance data is passive and ambient, it creates accountability without confrontation. Workers can see the numbers in real time. They know the system is active and watching.
For EHS managers, it removes the reporting step entirely. For leadership, it turns safety compliance into a visible KPI accessible to anyone walking through the facility.
The writing is on the wall. It now says "Safety First."

### Introducing Chief: The AI platform designed to solve safety’s biggest challenge

URL: https://www.intenseye.com/blog/introducing-chief-the-ai-platform-designed-to-solve-safetys-biggest-challenge

Transform workplace safety with Chief: real-time insights, streamlined safety data management, and proactive tools for reducing risks and protecting lives.

The reality of workplace safety: too many lives are still at risk
Every year, nearly 3 million people lose their lives due to workplace accidents, while over 374 million suffer non-fatal injuries. These are more than just statistics — they represent real people, real lives, and real families impacted by safety incidents that could often have been prevented. Despite advances in safety technologies, industrial workplaces still face a major challenge: traditional safety methods aren’t doing enough to reduce accidents and fatalities as expected. Despite ongoing efforts, safety improvements across industries have reached a plateau.
‍ Safety teams are overwhelmed by disorganized data
The main issue we’ve encountered after 5 years of working closely with safety leaders isn’t a lack of data — it’s actually the overwhelming amount of it. EHS leaders are dealing with a flood of disjointed information. They are overloaded with spreadsheets, PDFs, emails, and manual logs from various sites around the world. Collecting this data takes too long. Gathering leading safety indicators is hard.
On average, safety teams spend three weeks preparing for quarterly reviews. Over 50% of organizations struggle to collect the right data for effective safety programs. These delays slow decisions and stop teams from being proactive.
Meet Chief: change how your safety data is managed
Time means the difference between life and death in health and safety management. The less time spent on paperwork, the more time can be spent on making sure workers go home safely at the end of the day.
That’s where Intenseye Chief comes in. Chief — our safetyGPT platform, designed to completely transform how safety data is managed and analyzed. By seamlessly integrating and analyzing data from multiple sources in real time, Chief cuts down weeks of work to just a few hours, enabling safety leaders to act quickly and effectively.
By bridging the gap between how work is planned and how it actually unfolds, Chief equips safety teams with the real-time insights they need to stay ahead of potential EHS incidents.
Chief is built for real-world challenges
Chief is designed to simplify how safety teams interact with their data by providing real-time, actionable insights through a conversational interface. Safety leaders can ask specific questions, generate reports, and receive trends directly from the data collected at their facilities instantly.
With the ability to ask customized questions, safety leaders can quickly understand where improvements are happening and where more focus is needed. This capability allows you to 'chat' with your data, pulling insights from every corner of your organization into one unified dashboard.
One of Chief’s standout features is its ability to generate comprehensive reports that include not just visual insights but also specific recommendations for improvement. Teams can save these threads, bookmark key insights, and share them across facilities or departments, fostering collaboration and ensuring that safety strategies are aligned company-wide.
The platform also allows for file uploads, such as procedures or safety audits, so leaders can prompt against this information to address issues that matter most to them. From daily team meetings to long-term safety programs, Chief provides a flexible and powerful tool to keep safety efforts on track.
Reflecting on this, I recall a recent conversation with Hans Rudelsberger, Huhtamaki’s Global Head of EHS, Quality & Sustainability, who captured the true impact of Chief on their safety approach. Hans noted,
“Chief will support our journey to zero by reducing the time it takes for EHS managers to prepare and analyze data. Currently, they have to do much of the groundwork themselves — identifying the highest risk exposures and drawing their own conclusions. Hans says that, “With Chief, this foundational work is done for them, covering a solid 80%, leaving them to handle the remaining 20%.”
With Chief, EHS managers at Huhtamaki, and other organizations like it, gain more than just time; they gain a more advanced starting point for their analysis. Instead of beginning from scratch, safety teams can rely on Chief to streamline the groundwork, allowing them to focus on implementing proactive safety measures and addressing high-priority risks immediately.
Get ahead to the new era of workplace safety management
Chief is now live; safety professionals, operations executives, plant managers, and frontline teams can sign up and start using it. Let Chief streamline safety compliance, unlock real-time insights, and transform how you manage safety.
Request your free trial to see Chief in action .
Stay safe,

### Introducing Sentinel: Physical AI System for Safety

URL: https://www.intenseye.com/blog/introducing-sentinel-physical-ai-system-for-safety

Sentinel brings real-time safety to the physical world. Built by Intenseye, it connects AI-powered devices, cameras, and edge processing into one system that detects, understands, and acts on risk as it happens. Designed for industrial environments, Sentinel helps teams prevent serious injuries, not just record them.

For years, AI has helped EHS teams identify risks earlier and make faster decisions. But most systems still operate after the fact, analyzing events once they have already occurred. The next step is bringing that same intelligence into the flow of work itself, where movement, machinery, and people intersect in real time.
That is the idea behind Sentinel, Intenseye’s integrated hardware and software system designed to extend real-time safety from the digital layer to the physical floor. Sentinel connects computer vision directly with site operations, giving organizations a new way to see, understand, and act on risk as it unfolds.
How Sentinel Works
Each Sentinel device interprets conditions such as heat, motion, proximity, and speed to build live awareness of what is happening on the floor. Instead of depending on manual observation or periodic reporting, Sentinel delivers continuous visibility across critical areas.
When unsafe activity or environmental change is detected, the system can issue alerts or connect with machinery to stop unsafe motion. This connection between detection and response allows teams to prevent incidents instead of only analyzing them afterward.
The Sentinel Hub
At the center of the system is the Sentinel Hub, a local processor that powers connected devices and cameras. Sentinel is a device suite with purpose-built cameras and sensors, and it also connects to existing site cameras to unify new and legacy infrastructure with minimal changes.
The Hub runs advanced computer vision models on site using NVIDIA Jetson Orin NX, built for high-performance AI at the edge. This local design keeps latency to a minimum, delivers subsecond processing for real-time decisions, and ensures that video remains within the facility’s secured network by default.
Sentinel supports both edge and cloud deployments, combining the immediacy of on-prem decisions with the scale of cloud applications that benefit from large multimodal models. Sentinel is ready to support the next generation of NVIDIA Jetson modules, which will increase throughput and efficiency for real-time video inference so deployments continue to benefit from advances in edge computing.
Real Results in the Field
In pilot programs, Sentinel has already shown measurable results. At Oldcastle APG, the team connected Sentinel to their existing PLC systems, allowing it to stop machinery when unsafe motion occurred. The result was a sharp drop in intervention time and a visible reduction in high-severity risks within weeks of activation.
“Even with great training and culture, you cannot guarantee everyone’s safety. With Intenseye’s Sentinel, we are finally closing that gap.”
— Bob Malin, Vice President of EHS and Sustainability at Oldcastle APG
This same setup can be extended to other automated responses, such as triggering local audio warnings or sending instant notifications to operators. Each facility can decide how to respond in real time while maintaining full control over data and configuration.
Privacy and Security by Default
Every Sentinel system is designed to keep control of data in the customer’s hands. Video is processed locally, and anonymization such as face blurring and masking takes place before any footage leaves the site. Each model is trained only on the customer’s own data and is never shared or reused elsewhere.
Intenseye maintains SOC 2 Type 2 certification to ensure that every part of the system meets strict security and compliance requirements. Privacy and data protection are not add-ons but built-in features of every deployment.
Building Toward Real-Time Safety
Sentinel marks a shift in how organizations think about safety. Instead of reacting to what has already happened, teams can now see and respond as conditions change. By embedding intelligence at the edge and complementing it with cloud-scale applications, Sentinel helps safety and operations teams work together faster and with more confidence.
This is the foundation of real-time prevention. And it begins with Sentinel.
👉 Learn more or request a demo at intenseye.com/products/sentinel

### Journey to zero: A guideline to an injury-free workplace

URL: https://www.intenseye.com/blog/journey-to-zero-a-guideline-to-an-injury-free-workplace

Read our blog to learn if it's possible to create a safe and injury-free workplace through the world's #1 safety management platform.

As someone who has come from several manufacturing environments, in various industries, I’ve always viewed the ‘injury-free workplace’ as something that is a continuous journey with the right kind of controls in place.
The key idea is that the most effective path involves foreseeing workplace injuries before they happen.
This is possible only if organizations do not consider achieving zero incident goal at the workplace as a number to reach. Instead, they should see it as an ongoing effort to identify safety incidents and leverage employee well-being. This means they need to commit to improving their safety performance and be open to learning from mistakes and failures to keep improving safety methods.
Is it possible to create an injury-free workplace?
Most people in the EHS industry hear the term “injury-free workplace” and imagine one of two scenarios:
An entirely automated workplace safety system that doesn't require people, designed to keep employees out of the picture.
A workplace where detailed procedures tightly control everything.
The lagging indicators that most safety teams use are heavily biased, and qualitative in nature. Take companies' Behavioral Based Safety Programs, for instance. It only records reported incidents, which are often subjective and incomplete. Surprisingly, this data still shapes company safety plans, funding decisions, and future strategies. How can an organization strategically plan and allocate necessary resources without the information needed to make the right decisions?
The implementation of conventional safety methods and practices has helped to mitigate these pitfalls, but they have their limits in advancing the industry. Standardizing work procedures, incentive programs, and risk management has taken us close to zero injuries, but we are seeing a plateau.
The industry is now looking at ways to engage by redeploying safety culture and behavioral programs. Instead, what if we shift our focus to obtaining leading indicator data that will equip an organization with the information needed to help prevent an injury, without compromising worker’s privacy?
To fully realize the notion of “injury free,” organizations need something novel. Something different. Something that can truly complete the journey and predict an injury before it occurs. The answer: Artificial Intelligence that can see the previously unseen.
Real-time leading safety indicators by AI
Safety teams often measure effectiveness by a competency test, but imagine you train your workforce with 100% passing ergonomic lifting training. If your dashboard shows that employees are using the correct lifting technique only 60% of the time the next week, would you see that safety training as effective? There needs to be more, and intenseye is exactly that. It’s that extra measure that humans can’t achieve alone.
As safety teams work towards achieving a zero-incident goal, it can inspire them to aim for the highest safety standards. However, it's important not to evaluate the success of safety teams solely based on reaching this goal. Instead, the focus should be on creating psychological safety to identify potential risks and take corrective actions.
The zero-incident goal should center on ensuring the safety of all frontline team members every day. By embracing this path of continuous improvement in workplace safety, we can establish a healthier and safer work environment for everyone!
4 steps to create a Serious Injury and Fatality (SIF) Prevention program
A successful SIF prevention program requires a proactive, data-driven approach that goes beyond traditional safety methods. Follow these four streamlined steps to build an effective SIF prevention strategy that leverages real-time insights and empowers your team to act before incidents occur.
Step 1: Identify SIF potential in near misses
Focus on near misses and minor incidents as indicators of potential serious injuries or fatalities. Use Intenseye’s AI to track these events continuously, identifying safety patterns or risks that might otherwise go unnoticed, allowing you to prioritize preventative actions.
Step 2: Employ detailed safety view with Safety Score card
The Safety Score card centralizes data by categorizing risks according to specific workplace hazards and locations. This helps safety teams prioritize interventions where they are needed most by clearly identifying areas with elevated SIF potential, such as confined spaces or electrical zones.
Intenseye’s Safety Score provides a live view of safety performance, enabling teams to focus resources on areas with high SIF potential and significantly reduce risks.
Step 3: Detect and mitigate SIF precursors with leading indicators
Recognize high-risk conditions early, such as missing personal protective equipment (PPE) or improper procedures. Intenseye’s real-time leading indicators help address these risks immediately, providing actionable insights to mitigate safety hazards.
Step 4: Empower the workforce with safety awareness
Train employees to recognize and report hazards backed with Intenseye’s visualizing capabilities , to create a proactive safety culture that actively reduces SIF risks across the organization. The heatmaps use colors to indicate the frequency of safety risks in different facility areas which make your training way more productive.
Following the safety pattern with Intenseye's safety AI
Human beings like to believe that we are unpredictable in nature, but human behavior is more akin to following patterns.
All injuries in the workplace have leading indicators that can highlight the likelihood of an injury. Current programs in place cannot fully track this data – human oversight has limitations in near-miss reporting and behavioral-based safety observation programs.
Intenseye's AI-powered workplace safety management software applies computer vision, in addition to what is already being done, to help see and track leading indicators that the human eye misses.
You can see a safety incident in real time, but you cannot see patterns occurring with once-a-day reporting. When companies integrate Intenseye’s AI into their facilities, it then becomes possible to give safety teams access to 24/7 unbiased quantitative data to see what is previously unseen in reaching an injury-free workplace. Schedule a demo with us to learn more !

### Mastering SIF prevention through real-time safety management

URL: https://www.intenseye.com/blog/mastering-sif-prevention-through-real-time-safety-management

Explore a proven approach to preventing serious injuries and fatalities by combining risk-based workflows, real-time insights, and human expertise.

National Safety Council (NSC) statistics show that while the Total Recordable Injury Rate (TRIR) in the U.S. declined from 3.4 per 100 full-time workers in 2012 to approximately 2.7 in 2022, the rate of preventable fatalities has remained largely unchanged. While recordable injuries are decreasing, serious injuries and fatalities (SIFs) have not followed the same downward trend—highlighting the urgent need for a more focused approach to identifying and mitigating SIF precursors.
Despite improvements in overall safety metrics, many organizations still struggle to access or operationalize the insights necessary to prevent SIF events. Connecting that data to high-risk patterns and translating it into targeted prevention strategies remains the challenge.
This whitepaper explores how leading EHS teams are bridging this gap by aligning real-time safety management and human expertise. By rethinking traditional workflows, elevating observation quality, and prioritizing SIF potential through a risk-based lens, organizations are mastering SIF prevention through real-time safety management.
Download this whitepaper to see how a new approach to SIF prevention is empowering safety leaders to reduce exposure, elevate accountability, and protect lives.

### Modernize EHS task management for enhanced safety

URL: https://www.intenseye.com/blog/modernize-ehs-task-management-for-enhanced-safety

Use our AI-powered EHS task management software to maintain safe and compliant workplaces. Read our blog to learn how!

Effective EHS task management is crucial for maintaining safe and compliant workplaces; yet, for many EHS professionals, managing the myriad tasks related to workplace safety is often challenging and overwhelming. Keeping track of due dates, assigning responsibility, and monitoring progress becomes even more challenging when important tasks involve multiple stakeholders.
The traditional, manual approach to EHS task management is not only time-consuming but fraught with potential for errors and inefficiencies. Today, sticking to these outdated methods can no longer suffice. It's time for a transformative change.
Introducing Intenseye’s Task Management
Our Task Management tool is designed to address these challenges head-on, starting a new era of EHS task management. A key advantage of our tool is how it combines AI-driven hazard detection with easy-to-use task management. This feature allows for quick creation of safety tasks as soon as a risk is detected, effectively bridging the gap between identifying a hazard and acting on it. As a result, response times are quicker, more focused, and customized to each specific hazard.
The process of creating tasks in response to these detected hazards simplifies the whole task management workflow. EHS professionals can easily specify solutions, assign tasks to the right team members, set deadlines, and communicate effectively through toolbox talks - all with just a few clicks on our platform. This streamlined approach cuts down on administrative tasks, boosts accuracy, and improves communication, significantly reducing the chances of errors and misunderstandings that come with manual processes.
Beyond task management: Harnessing data to close the feedback loop
But our tool does more than streamline task management - it provides a clear window into the impact of these tasks on workplace safety and compliance. It enables tracking the efficiency of task completion in safety hazard reduction and compliance improvement.
The provision of post-task insights effectively closes the feedback loop in the safety management cycle. Organizations no longer have to rely on assumptions or wait for audit results to understand the impact of their actions. They can obtain the data needed to assess what safety measures are truly effective and where adjustments are necessary for continuous improvement.
This capability to assess and adjust safety measures based on concrete data is not just an advantage; it's a necessity in today's complex workspaces. It ensures that EHS efforts are strategic, targeted, and, most importantly, effective.
Impact of a created task is presented on the Intenseye Dashboard
The imperative to move beyond the status quo
The need to evolve beyond traditional EHS task management practices has never been more pressing. As workplaces become increasingly complex, the demands on EHS professionals to maintain safety and compliance intensify. Our EHS Task Management tool represents not just an alternative to outdated practices but a necessary advancement to meet the challenges of today’s safety management landscape.
Take action today
If you're ready to leave behind the inefficiencies of the past and step into a future where EHS task management is clear, efficient, and data-driven, we invite you to explore what our tool can do for your organization. Join us in redefining workplace safety and compliance for the modern era. Eager to create safer work environments that not only meet today’s standards but set new benchmarks for tomorrow? Schedule a demo with us !

### Optimizing safety management from the plant floor to the boardroom

URL: https://www.intenseye.com/blog/optimizing-safety-management-from-the-plant-floor-to-the-boardroom

Intenseye Product Marketing Manager Kübra Demircan recently spoke with Technical Solutions Product Manager Denizcan Arslan and Product Manager Ayla Erhan about these enterprise-ready new additions, the challenges they solve, and the added value they deliver to our customers.

Enterprise-readiness has always underpinned the Intenseye platform, and it’s easy to see why: nearly all of our hundreds of customers are global enterprises. Most employ upwards of tens of thousands of people at dozens of vast facilities on multiple continents; this also means most face distinct operational, regulatory, and market conditions that complicate what it takes to ensure workers’ health and safety. Our commitment to empowering EHS and operations leaders to proactively mitigate hazards and minimize incidents, despite challenging conditions, has driven the latest enhancements to our AI-powered workplace safety platform. These enhancements now include a mobile app and integrated compatibility with various messaging and business intelligence tools.
Intenseye Product Marketing Manager Kübra Demircan recently spoke with Technical Solutions Product Manager Denizcan Arslan and Product Manager Ayla Erhan about these enterprise-ready new additions, the challenges they solve, and the added value they deliver to our customers.
Intenseye's new mobile application
Kübra: Could you share some key highlights of the Intenseye mobile app and how customers can expect to benefit from it?
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Ayla: The Intenseye app extends our platform’s AI-driven capabilities to mobile devices, thereby boosting operational efficiency and safety responsiveness for our customers – particularly those who spend considerable time on the plant, warehouse, or factory floor. Users are able to receive real-time notifications and manage safety operations directly from their mobile devices, helping them to take more-immediate action against detected hazards, conduct inspections on-the-go, and further optimize their safety operations from the floor, their offices, or really anywhere.
It’s also important to emphasize that our app isn’t just about convenience – real-time access to EHS data truly makes a difference in safety outcomes. In fact, recent research from EY indicates that only about half of enterprises with dedicated EHS technology are effectively integrating real-time data across their operations. Unfortunately, this means that for the other half, an absence of immediate data access and response capabilities is hindering their safety operations, especially in dynamic and remote work environments. A big part of why I’m honored and excited to be supporting Intenseye’s mobile app is that it’s helping to solve this problem.
On-the-go safety management
Integration capabilities
Kübra: What are Intenseye’s new integration capabilities, and how can they enhance occupational safety?
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Denizcan: At Intenseye, we recognize that many organizations in today's fast-paced work environments struggle with disjointed safety systems that often delay responses to hazardous situations and complicate safety compliance. To combat these challenges, our new integration capabilities ensure seamless data flow across platforms and streamline safety operations. By integrating with major EHS platforms, BI tools, and communication apps, we not only accelerate response times during critical incidents, but also simplify compliance management. Think of it as having a superhero team of safety tools working in perfect harmony to protect the frontline.
Data transformer
Kübra: Could you elaborate on our new Data Transformer and how it helps streamline EHS data management across different platforms?
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Denizcan: Organizations face significant challenges in managing safety data due to its fragmentation across various EHS platforms. This fragmentation leads to inefficiencies, increased error rates in data entry, and difficulties in achieving comprehensive compliance and risk management. Intenseye's Data Transformer addresses these challenges by providing seamless integration with major EHS platforms. With a user-friendly, drag-and-drop interface, it automates the consolidation of data across platforms, minimizing manual entry and reducing the potential for errors. This integration results in a centralized data management system that enhances the accuracy and timeliness of safety reporting and analytics. With all EHS data unified on one platform, organizations can make more informed decisions, streamline compliance processes, and ultimately improve workplace safety outcomes.
BI platform integrations
Kübra: How do Intenseye’s integrations with business intelligence (BI) platforms like PowerBI and Tableau transform the way safety data is visualized and utilized?
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Denizcan: We designed our BI integrations with the needs of corporate-level EHS and operations managers, directors, and executives in mind. Our customers have helped us realize that especially for leaders in those sorts of roles, BI tools like Power BI or Tableau are often already being used to manage, visualize, and make decisions based on data from across enterprise functions – including health and safety. By enabling the real-time EHS data captured by Intenseye’s AI to be seamlessly ingested by these BI tools, our new integrations enable our customers to create custom dashboards and other visualizations and reports tailored to their leaders’ needs, ultimately further empowering them to view – and act upon – both tactical and strategic insights into their global safety posture. This enhanced visibility allows for more effective, efficient decision-making and a comprehensive understanding of safety performance across the organization. Sometimes the insights we need are right in front of us, but it takes the right tools to highlight and reveal them.
Messaging apps
Kübra: What benefits do integrations with messaging apps like Slack and Microsoft Teams, as well as our mobile app, offer to our users in emergency scenarios?
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Denizcan: Integrations with messaging apps like Slack and Microsoft Teams are crucial for improving incident response times. Effective communication in emergency situations is not just about convenience; it's a critical safety measure. Studies, such as one highlighted by Sparrow Connected , have shown that around 36% of employees have been placed in unsafe situations due to poor communication. This statistic underscores the significant impact that enhanced communication tools can have on safety outcomes. By ensuring that alerts and updates reach the right people without delay, our integrations help mitigate these risks, supporting a safer and more compliant workplace environment.
Intenseye's new mobile application
Ayla: Regarding our mobile app, it offers similar benefits in terms of real-time notification and ease of communication – all of which, as Denizcan noted, are essential during emergencies. And because the app also enables our platform and all the data it provides on leading (and even lagging) safety indicators to be accessible and actionable from anywhere, its functionality can be highly impactful to on-the-go users responding to incidents and other time-sensitive situations within facilities.
The future of safety management
Kübra: How does Intenseye plan to collect user feedback on these new enhancements, and how will this influence future updates?
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Denizcan: At Intenseye, user feedback is paramount to our continuous improvement. I can genuinely affirm that every feature we offer today has been elaborately crafted based on the invaluable feedback we received from our early adopters. We have conducted numerous site visits to provide hands-on support and gather feedback from our customers. Think of these visits as listening tours, where we closely observe and understand the real-world impact of our integrations. Additionally, our customer success team regularly communicates with power users to collect continuous feedback. This direct and ongoing interaction helps us understand the real-world impact of our integrations and guides our future development to better meet user needs.
Ayla: Denizcan’s points about the critical role of user feedback for our integrations also perfectly encapsulate our approach to the roadmap for our mobile application. User friendliness is at the core of our mobile strategy. Through both in-person and online user interviews, we actively refine and tailor the mobile experience to meet the specific needs of our users. Specifically, considering our global user base, we are keenly focused on integrating location-based feedback. This allows us to fine-tune the app’s performance and accessibility to suit regional variations and ensure that the app delivers a seamless experience worldwide.
Kübra: Can you describe the next steps for enhancing Intenseye’s ecosystem through both integration capabilities and mobile app developments? And how do these advancements work together to improve our on-the-go safety management solutions?
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Denizcan : As we move forward, we are committed to expanding the Intenseye ecosystem to provide a more integrated and comprehensive experience across all platforms. For integrations, we are focusing on incorporating additional EHS platforms and advanced analytics tools to deepen user insights and enhance control over safety data. These enhancements are designed to streamline processes and improve the efficacy of safety management on a broad scale.
Ayla : Simultaneously, our mobile development team is working to ensure that our mobile app becomes an even more integral part of this ecosystem. We are developing new features that enrich the app’s functionality, particularly for on-the-go use. This includes integrating more comprehensive tools that facilitate real-time data access and decision-making directly from mobile devices. By doing so, we are not just adding features; we are creating a seamless mobile experience that complements and enhances the value of our integrations, making safety management more accessible and effective, wherever our users are.
Together, these efforts signify a major step towards a unified Intenseye platform where integration capabilities and mobile enhancements support each other, ensuring that safety isn’t just an isolated task but a continuous, interconnected process.
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Existing customers can download the Intenseye mobile application from the Apple App Store and Google Play Store .
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If you'd like to learn more about these latest enhancements and how Intenseye’s AI-powered platform can transform safety management for your organization, please schedule a demo .

### Preventing Collision Zone Incidents Before They Happen

URL: https://www.intenseye.com/blog/preventing-collision-zone-incidents-before-they-happen

Learn how AI helps safety teams detect collision zone risks — including struck by and struck against hazards — in real time and prevent serious injuries before they happen.

In high-risk environments, the most dangerous exposures are often the ones we don’t see until it’s too late.
A forklift reverses into a blind spot, a rigger steps under a suspended load, and a maintenance tech reaches into moving equipment. These are classic collision zone scenarios : sudden, severe, and often fatal. And they don’t always happen because someone ignored protocol. Sometimes they happen because no one had eyes on the exposure at the moment it mattered.
We can’t afford to keep investigating these incidents after the fact. It’s time to start preventing them in real time.
Collision Zone: One of the Most Common, and Most Under-Detected SIF Precursors ‍
Collision zone events — often involving struck by or struck against hazards —are a major cause of serious injuries across high-hazard sectors like construction, manufacturing, and logistics.
According to the Bureau of Labor Statistics , contact with objects or equipment accounted for over 700 fatalities in 2023 , ranking just behind transportation incidents and falls. These injuries typically result from being struck by or caught between machinery, vehicles, tools, or materials on the job.
A 2023 NIOSH-backed report further reinforces the risk: in construction alone, struck-by injuries caused 150 deaths and 14,000 nonfatal injuries in 2020 , most involving vehicles, heavy equipment, or falling objects.
Despite their frequency, collision zone exposures often go unnoticed in the moment. They unfold in seconds—outside of scheduled audits or walkthroughs—and by the time they’re logged, the exposure has already occurred.
What Real-Time Exposure Actually Looks Like ‍
Collision zone exposure isn’t limited to dramatic events. It includes everyday moments that put workers in harm’s way:
• A pedestrian walks within 3 feet of a reversing forklift
• A mechanic kneels under a suspended load without blocking
• An operator bypasses guarding to clear a jam
• A technician reaches into energized equipment during maintenance
These aren’t near misses. They’re unseen risks .
Seeing Exposure as It Happens: How Intenseye Helps
Intenseye uses AI-powered computer vision to detect collision zone exposure across dynamic environments. The platform identifies:
• Unsafe proximity between people and mobile equipment
• Unauthorized entry into danger zones
• Absence of machine guards or blocked escape paths
• Repetitive exposure trends across shifts, lines, or locations
And it does this 24/7 , without relying on someone to be watching in real time. When risk is detected, alerts are triggered immediately, giving safety teams the power to intervene before harm occurs.
In facilities where Intenseye has been deployed, we’ve seen: ‍
• 40%+ reduction in serious exposure events within months
• A measurable drop in high-risk pedestrian-equipment interactions
• Faster root cause resolution, because the data is timestamped, visual, and contextual
This is Safety-II in action : a proactive, exposure-based model that gives safety teams the insight and speed they need to prevent SIFs, not just respond to them.
Turning Risk Patterns into Leading Indicators
When collision zone events are visible, measurable, and trendable, they stop being surprises and start becoming signals for timely intervention.
With Intenseye, safety leaders can:
• Monitor risk patterns by shift, location, or job type
• Pinpoint high-risk equipment configurations or layouts
• Coach teams in the moment using objective, visual data
• Benchmark and reduce unsafe interactions as a leading indicator—not just react to incidents
You don’t need to wait for a near miss to justify action. The data is already there.
In fact, we’ve written why near misses alone aren’t enough when it comes to preventing SIFs. What matters is identifying the precursors —and acting before they escalate.
See It Before It Happens
Collision zone incidents can’t be prevented with good intentions alone.
They require visibility. Speed. Context. And consistency.
Intenseye helps safety teams act when it counts—not after the damage is done.
👉 Discover how AI-powered detection can reduce your collision zone exposure. Contact us to learn more .

### PSIFs are one of the most underused "signal" metrics in safety.

URL: https://www.intenseye.com/blog/psifs-are-one-of-the-most-underused-signal-metrics-in-safety

Discover why PSIFs are one of the strongest leading indicators for preventing serious injuries, backed by Safety Science research.

A paper in Safety Science (Cooper et al., 2019) had a few findings that really stuck with me.
1. PSIFs behave like a real "serious potential" indicator, not just noise.
The researchers found a strong relationship between PSIFs and actual SIFs (Spearman Rho ≈ 0.80, one of the strongest correlations in their entire dataset). If you care about preventing life-altering events, PSIFs are a far better proxy than most people treat them as.
2. PSIF data can be more consistent than the metrics we obsess over.
In their dataset, PSIFs showed a reliability score of roughly 0.62. TRIR, first-aids, and near-misses all came in lower, in the 0.37 to 0.39 range. That's a big deal. If your metric is unstable, your decisions will be too, no matter how much you trust the number on the dashboard.
There's a second layer here worth calling out. When the researchers checked which categories showed signs of under-reporting, PSIFs came back clean. First-aids didn't. So PSIFs aren't just more reliable statistically, they also seem to reflect what's actually happening on the floor more.
3. PSIFs don't fit neatly into Heinrich's triangle, and that's the point.
They're a distinct class: "near-miss with serious potential." In their ratios, PSIFs sat roughly around 16 PSIFs for every 1 SIF, and about 49 near-misses per PSIF. It's not just frequency, it's quality of risk. Most near-misses are noise. A PSIF is the near-miss that almost wasn't.
4. The strongest PSIF levers weren't slogans, they were capabilities and culture.
PSIFs were most associated with:
Competency (training, readiness, skill)
Culture of fear (blame or punishment dynamics)
How well organizations monitor, measure, and reinforce safety
That last one showed up as the strongest predictor of all. Not posters. Not slogans. The actual discipline of monitoring, measuring, and reinforcing, paired with the stories people tell each other about what happened and why it mattered.
My takeaway
If your goal is fewer SIFs, PSIFs are one of the best leading indicators we have. But only if you treat them as first-class signals, and only if you invest in the conditions that reduce them: competency, psychological safety, and consistent monitoring.
Curious where you land on this: do you track PSIFs today? And do you trust the data enough to make decisions from it?
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### Road safety management with computer vision AI

URL: https://www.intenseye.com/blog/road-safety-management-with-computer-vision-ai

Ready to unlock the future of road safety management? Intenseye's workplace safety software detects road safety hazards, ensuring safer workplaces by leveraging AI.

The National Safety Council has uncovered a concerning fact: In 2021, transportation accidents accounted for a shocking 38% of all work-related fatalities. This statistic alone, emphasizes the urgent need to prioritize road safety and develop effective strategies to reduce these risks.
Consider this: Workplaces are bustling hubs of activity, where the smooth flow of traffic is essential for seamless operations. And ensuring employee safety isn't just a moral imperative; it's crucial for preventing accidents, injuries as well as production and logistics delays and potential legal liabilities. Effective workplace traffic management involves implementing proper traffic control measures, providing comprehensive training to employees, enforcing traffic rules and regulations, regularly inspecting and maintaining traffic control devices, and fostering a culture of safety awareness among all employees.
Now, let's fast forward to the future. Picture a workplace where technology, like AI, collaborates with safety teams to create an environment that's not just safe but also efficient. Yet, neglecting workplace traffic management can lead to dire consequences, including accidents, injuries, and significant financial losses for the organization.
So, here's the burning question: In an era marked by advancements in workplace safety, why does work-related road safety remain a persistent challenge, claiming thousands of lives annually?
‍ The shortcomings of traditional EHS methods
Conventional strategies for managing road safety typically rely on methods like signage, physical barriers, and manual surveillance. While these methods have undoubtedly been instrumental in improving overall safety, they often fall short in delivering lasting solutions and immediate insights.
Moreover, despite awareness campaigns and training initiatives, relying solely on human observation can lead to errors or oversights, failing to offer the comprehensive data necessary for informed decision-making and continuous improvement.
Fortunately, a solution exists! Organizations can tackle these obstacles and bolster workplace road safety by embracing Intenseye’s AI-powered safety management software, which surpasses traditional methods by delivering real-time insights and actionable data.
Intenseye’s Vehicle Controls module
Leveraging the capabilities of artificial intelligence, computer vision, and machine learning, the Vehicle Controls module empowers safety teams to identify various safety hazards associated with workplace traffic management. Through a real-time scanning and notification system, road safety is significantly bolstered.
Here are some key features and benefits:
• Enhanced road safety for all: By utilizing Intenseye’s Vehicle Controls module to measure distances between vehicles and pedestrians in the workplace, safety teams receive real-time notifications when proximity breaches predefined safety thresholds. With this robust tool at their disposal, EHS leaders can confidently prioritize the safety of both vehicle operators and pedestrians, ensuring collisions are avoided.
• Fostering a safety culture: With Intenseye’s AI-powered safety management software, EHS leaders can swiftly detect vehicles exceeding specified speed limits, allowing them to promptly address speed violations. By promoting compliance with speed limits, our workplace safety software has become an indispensable tool for EHS teams in their daily operations, empowering them to confidently progress toward success.
• Improved traffic flow: Safety supervisors can rely on Intenseye to promptly identify and rectify vehicles deviating from assigned routes or moving in the wrong direction, prioritizing on-site safety for all. This results in enhanced operational efficiency, reduced congestion, and a safer work environment.
• Compliance enforcement: With Intenseye, EHS supervisors can supervise whether vehicle operators consistently adhere to safety protocols, particularly regarding the proper use of personal protective equipment (PPE) while driving. Safety leaders emphasize how this feature reinforces their ability to cultivate a safety-conscious culture.
• Automated inspection and task management: Rather than waiting for incidents to occur, safety leaders can swiftly take preventive and corrective actions, such as creating tasks or initiating inspections, directly in response to identified risks on the Intenseye platform.
• Data-driven Insights: Safety supervisors can gain a strategic advantage by receiving actionable insights on road safety from Intenseye’s EHS platform. By analyzing data on traffic patterns, near-miss incidents, and potential hazards, safety leaders can make informed decisions, implement targeted safety measures, and continuously enhance road safety protocols.
• Cost reduction and operational efficiency: By preventing incidents and reducing injuries resulting from road safety violations, organizations can minimize costs associated with medical expenses, property damage, and downtime.
• Employee engagement and trust: Prioritizing road safety through technology demonstrates a commitment to employee well-being, fostering engagement, trust, and loyalty among staff. This contributes to a positive work environment and psychological safety in the workplace.
• Setting industry standards: Safety supervisors embracing AI technologies become safety pioneers, leading the way in transforming workplace safety. By utilizing Intenseye’s AI-powered safety software, they can initiate facility safety initiatives that have the potential to evolve into company-wide endeavors, setting new standards in the industry.
If you want to learn more about how can you utilize computer vision AI for road safety, dive into the success story of Coats !

### Seeing The Unseen: Leveraging Computer Vision To Detect Potential SIFs In Real-Time

URL: https://www.intenseye.com/blog/seeing-the-unseen-leveraging-computer-vision-to-detect-potential-sifs-in-real-time

Discover how AI-powered computer vision enables real-time safety management and proactive SIF prevention across high-hazard industries.

‍ The Ongoing Challenge of Serious Injuries and Fatalities
Despite efforts to reduce the number of SIFs, the last 5 years has seen the overall rate plateau, with some significant fluctuations. According to the latest Verdantix EHS global corporate survey, reducing the number of SIFs is the primary operational goal for EHS functions, with 35% of respondents considering it to be the most important. Consequences go beyond life or serious injury. Firms may face operational disruptions, incur financial penalties and compensation costs and experience reputational damage. To reduce the risk of SIFs occurring, vendors such as Intenseye, offer AI-based computer vision software to capture risk in real-time and identify leading indicators that lead to SIFs.
Real-Time Risk Detection Through Computer Vision
Intenseye is a real-time safety management and SIF prevention platform provider. Its computer vision software, Core AI integrates seamlessly with a facility’s existing CCTV infrastructure and leverages continuous real-time video analytics, to identify unsafe behaviours and hazardous conditions. This includes missing PPE (Personal Protective Equipment), unauthorized access to hazardous zones and improper ergonomics. The system instantly notifies safety teams when this occurs, providing them with time to intervene, encouraging a more proactive approach to safety.
Beyond Core AI: Building a Proactive Safety Ecosystem
In addition to Core AI, Intenseye offers other technologies that help capture real-time risks and potential SIFs. Chief is an AI-powered co-pilot that helps EHS professionals analyse vast swathes of safety data, identify trends and provide recommendations on further action. This is facilitated through advanced natural language processes and reasoning to compute safety signals and identify high-risk observations. Intenseye customers can leverage its suite of AI-based tools to create a dynamic safety management ecosystem, where firms proactively manage and mitigate potential SIFs, instead of reacting to them by relying on lagging indicators.
Proven Impact Across High-Hazard Industries
Examples of successful deployment include Swire Coca-Cola, which achieved a 60% reduction in safety hazard detections in 2022. Moreover, textile manufacturing firm Coats applied Intenseye’s computer vision tool to prevent accidents related to speeding on its India site. The impact was apparent, with a 20% reduction in speeding detections within the first week of deployment, followed by a 50% reduction in the speeding incidents.
Moving From Reactive to Proactive Safety
While it can be extremely difficult to predict when a SIF can occur, Intenseye’s safety management tool could be a viable alternative, helping firms to capture the potential indicators in real-time. This can help firms achieve the goal of proactive safety management.

### Setting new industry standards in EHS

URL: https://www.intenseye.com/blog/setting-new-industry-standards-in-ehs

Intenseye is setting a new industry standard in EHS—discover how AI-powered safety is becoming the benchmark for global manufacturing leaders.

What does it really mean to define a category? Every software company claims it, but few actually do. I’ve always been skeptical of this phrase—it’s easy to say, much harder to prove.
We knew from day one that Intenseye was challenging how work is planned and executed in manufacturing. I still remember one of our earliest conversations with our first investors, Ricardo Sequerra Amram and Nathan Benaich. They asked us a simple but defining question:
“What do you want to build with this company?”
Our answer was clear:
“We want to create a new industry standard.”
At the time, we didn’t have all the answers, we just knew that workplace safety wasn’t working. Filling out the same forms, planning next year with last year’s incident data, it was broken. And we believed AI could change this. Thanks to our early customers and investors, that vision is now becoming a reality.
AI-first safety operations is the new standard
Fast forward to today, and something has shifted. Industry analysts and consulting firms are now telling us that leading COOs and CIOs in manufacturing are actively seeking AI-powered workplace safety solutions—and specifically, Intenseye.
Not only is this technology becoming a must-have, but these same experts see Intenseye as the company that pioneered the category.
It’s an incredible milestone in our GTM. When we started, AI in workplace safety wasn’t even a conversation. Now:
• AI-first safety operations are becoming the industry standard.
• Global enterprises are scaling real-time risk detection and leading indicators.
• And now? Intenseye metrics are becoming corporate EHS targets.
The screenshot below is proof: Our enterprise customers—spanning operations worldwide—are now integrating Intenseye’s safety data into their official KPI frameworks.
We’re also seeing Intenseye mentioned in 10-K filings and sustainability reports.
But this is just the start.
If you're building a modern safety operation and want to learn how leading COOs and CIOs are using AI to drive results, let’s talk .
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### SIF Prevention at Scale in Food & Beverage: Tackling High-Severity Incidents in Real Time

URL: https://www.intenseye.com/blog/sif-prevention-at-scale-in-food-beverage-tackling-high-severity-incidents-in-real-time

Food and beverage production runs nonstop—and so do the risks. From moving machinery to forklift interactions, exposures that seem routine can lead to life-changing injuries. This blog explores how Intenseye’s real-time AI and the Food & Beverage SIF Playbook help safety leaders tackle high-severity incidents before…

Safety at the Speed of Production
In food and beverage manufacturing, production lines rarely stop. Bottling, packaging, and cooking equipment work around the clock to keep shelves stocked. With this speed and volume come serious risks. A wet floor, a forklift turning into a walkway, or a worker reaching into a moving machine can cause life-changing injuries in a matter of seconds.
These are not rare or unusual problems. They are part of daily operations. Too often, they are accepted as “just the way things are.” It is time for the industry to look at safety differently. The real challenge is not only meeting compliance requirements but preventing serious injury and fatality (SIF) exposures before they harm people.
The Hidden Severity in Everyday F&B Work
High-speed production hides hazards that can be deadly: ‍
• Moving machinery : Workers reaching into palletizers, conveyors, or cutting equipment without lockout/tagout.
• Slips, trips, and falls : Floors wet from spills, condensation, or cleaning create constant risk.
• Thermal hazards : Burns from ovens and fryers, or cold stress in refrigerated areas.
• Vehicle and pedestrian interactions : Forklifts and automated guided vehicles moving in the same spaces as workers.
• Ergonomic strain : Lifting, bending, and twisting during repetitive material handling.
Each of these exposures may look routine, but together they are responsible for some of the most serious incidents in the industry.
Why Traditional Safety Models Do Not Work Here
Common safety practices struggle to keep pace in F&B facilities:
• Audits and inspections only provide a snapshot and miss exposures that appear in between.
• High turnover and seasonal workers make it difficult to build a consistent safety culture.
• Compliance metrics like recordables or TRIR track what already happened rather than what could happen next.
• The difference between how work is designed and how it is actually done grows wider under production pressure.
This leaves critical risks unseen until an incident takes place.
Proof from the Floor: What Real-Time AI Finds
AI monitoring provides continuous visibility across entire plants. It can detect SIF exposures as they happen, giving EHS teams a chance to respond immediately.
In food and beverage environments, AI identifies:
• Workers entering unguarded machinery zones without proper lockout/tagout.
• Forklift and pedestrian near misses in warehouses and loading areas.
• Unsafe bending or twisting when stacking pallets.
• Slips in spill zones before an injury occurs.
Real-world results show how powerful this shift is:
• Swire Coca-Cola reduced risks by spotting unsafe palletizer access, gaps in fall protection, and forklift interactions. The findings supported retraining and process changes that improved safety.
• A global beverage manufacturer in Japan achieved a 90% reduction in unsafe acts and conditions in six months , while also lowering insurance costs, avoiding work stoppages, and improving worker morale.
These examples prove that when exposures are visible in real time, they can be controlled before they lead to serious harm.
Business Value Beyond Compliance
Reducing exposure is not just about preventing injuries. It directly supports operations.
• Fewer disruptions mean better production uptime.
• Fewer incidents lower investigation and claim costs.
• A safer environment builds trust and engagement with workers.
• Stronger safety performance enhances reputation and competitiveness.
Safety and productivity reinforce each other when prevention is built into daily operations.
Operationalizing Prevention: The F&B SIF Playbook
The Food & Beverage SIF Playbook is designed to help leaders put real-time prevention into practice. It includes:
• Strategies for addressing the top SIF hazards in food and beverage plants.
• Case study results showing how leading companies reduced risk at scale.
• Practical steps for integrating AI-powered monitoring into existing systems.
👉 Download the Food & Beverage SIF Playbook to equip your team with the tools to prevent serious injury exposures before they turn into incidents.
Redefining Safety in Food & Beverage
The future of food and beverage safety is not more audits or more reports. It is about seeing high-severity exposures as they happen and acting before they cause harm.
With Intenseye’s AI and the F&B SIF Playbook, safety leaders can set a new benchmark for the industry: protecting workers at the speed of production while strengthening productivity and trust.
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### Spring into safety: Intenseye dominates G2 Spring 2025 Reports

URL: https://www.intenseye.com/blog/spring-into-safety-intenseye-dominates-g2-spring-2025-reports

Intenseye leads G2 Spring 2025 Reports with 26 badges and top rankings—driving real EHS results, usability, and ROI for safety teams.

The results are in! G2’s Spring 2025 reports highlight what we at Intenseye have been driving towards—empowering safety teams to save lives by setting new standards in the EHS industry. We’ve secured top positions across 31 reports and earned 26 badges, all thanks to the glowing reviews from our valued users!
Leading the pack
Intenseye has been recognized as a Momentum Leader in both Occupational Health and Safety and Environmental Health and Safety . These aren’t just titles; they signify our commitment to challenging the status quo and empowering our customers to save lives.
Equally exciting is our status as Grid Leader in Environmental Health and Safety, Occupational Health and Safety, and Environmental, Quality and Safety Management. This recognition confirms our leadership in the industry, as we drive a movement towards smarter, safer operations.
“Intenseye is the ultimate EHS violation hunter, ensuring no near miss is overlooked.” - Shift Leader in Chemicals
Enterprise (> 1000 emp.)
Real results that speak volumes
We measure success by the real-world impact of our platform—how it equips companies to surpass their safety goals. Our #1 rank in the Enterprise Results Index with Best Results and the Best Estimated ROI badges shows our approach is working: we’re making workplaces safer and compliance simpler, and our customers see real value from day one.
A huge thank you to our enterprise customers for trusting us to be part of your safety journey. Together, we are setting new benchmarks, showcasing the remarkable ROI that AI-driven solutions can deliver in enhancing workplace safety.
“Intenseye significantly reduces the resource costs of safety monitoring by providing live analysis of operations, eliminating the need for manual review of footage from over a dozen CCTV cameras throughout operational hours. ” - EHS Manager in Utilities
Enterprise (> 1000 emp.)
Ease of use is key
Adopting new software can be daunting, which is why we’ve designed Intenseye to be as user-friendly as possible. G2’s recognition of Intenseye for Best Meets Requirements, Best Usability , Easiest Admin , and Easiest to Use in the Spring 2025 Report confirms our commitment to Explainable AI —every feature, every alert, and every report is designed to be understandable and actionable, ensuring that safety isn’t just a metric, but a sustainable practice.
“The Intenseye platform stands out for its exceptional user-friendliness and accessible, high-quality data.” - Global Head of Safety in Automative
Mid-Market (51-1000 emp.)
Strong relationships drive better safety
We’re not just a software provider; we’re your safety partner. Our badges for Best Relationships and Best Support reflect our commitment to standing by our customers every step of the way, ensuring they get the most out of our platform.
“Underpinning a great product is a team that helped to mobilize the system and continues to provide first-class support. - ” Operations Development Manager at Waste Management
Mid-Market (51-1000 emp.)
Implementation made simple
Nobody likes a complicated setup. That’s why we’re particularly proud of our Easiest Setup and Most Implementable badges. These mean you can streamline your safety operations quickly and start seeing tangible benefits immediately.
“Intenseye’s seamless integration with our existing camera systems makes identifying safety risks incredibly easy.” - Senior Sustainability & EHS Engineer in the Tobacco Industry
Enterprise (> 1000 emp.)
Join us on our Journey to Zero
G2 badges are more than just awards for us. They represent the trust and satisfaction our users have in Intenseye. As your trusted partner in workplace safety, we take pride in these badges as both a recognition of our achievements and a commitment to keep improving safety practices. A big thank you to our users for their honest reviews, which have greatly contributed to our success.
Interested in seeing how Intenseye can make a difference in your organization? Schedule a demo to discover why many businesses trust us to safeguard their most valuable assets—their people. For more insights, explore our G2 profile .

### The EU AI Act: Regulatory standard for responsible AI

URL: https://www.intenseye.com/blog/the-eu-ai-act-regulatory-standard-for-responsible-ai-blog

Discover how the EU AI Act sets global standards for responsible AI deployment, ensuring safety, transparency, and accountability across industries.

On March 13, 2024, the European Parliament passed the EU Artificial Intelligence Act (“ EU AI Act ”), marking the world’s first comprehensive legislation aimed at governing artificial intelligence (AI) systems. It was later published in the Official Journal (OJ) of the European Union on July 12, 2024.
As a regulatory standard for responsible AI usage,the EU AI Act is a legal framework designed to regulate AI across sectors, placing a focus on human rights, safety, and transparency.
This new regulation categorizes AI applications by risk levels, setting strict requirements on high-risk applications while leaving minimal oversight for low-risk technologies.
This blog offers a thorough overview of the EU AI Act, detailing its objectives, scope, and risk-based approach, and highlights its relevance to Intenseye’s mission of enhancing workplace safety through responsible AI.
What is the EU AI Act?
The EU AI Act, as part of the European Union’s broader digital strategy, represents the world’s first comprehensive attempt to regulate artificial intelligence on a large scale.
The Act introduces a set of rules applicable across various industries , ensuring that AI technologies align with the EU’s commitment to safeguarding human rights, protecting public safety, and fostering responsible AI development.
By emphasizing ethical AI practices , the EU AI Act seeks to balance the advancement of AI with the protection of fundamental rights.
Core objectives of the EU AI Act
The EU AI Act is built on three core objectives:
1. Protecting fundamental rights and public safety : The Act emphasizes protecting individuals from potential harm and abuse, including privacy invasions and discrimination.
2. Fostering safe and transparent AI : High-risk AI applications must comply with strict regulatory requirements to prevent misuse, improve transparency, and uphold accountability.
3. Promoting innovation responsibly : By providing clear guidelines, the Act gives AI developers and companies with the assurance needed to innovate responsibly, reducing regulatory uncertainty while ensuring AI applications align with European values.
Stakeholders under the EU AI Act
The EU AI Act outlines various compliance roles within the AI ecosystem, focusing on two primary actors—providers and deployers—each with distinct responsibilities and obligations.
Provider: According to the EU AI Act, a provider is any natural or legal person, public authority, agency, or entity that develops or commissions the development of an AI system or general-purpose AI model and places it on the market or into service under its own name or trademark, whether for commercial purposes or free of charge. Intenseye, as the developer and provider of workplace safety AI solutions, falls into this category.
As a provider, Intenseye strictly adheres to the rules set forth in the EU AI Act, ensuring that its AI technology meets the Act’s comprehensive standards, including risk management, data governance, and transparency. Intenseye’s responsibilities include conducting rigorous conformity assessments and ongoing tracking to verify that its AI systems align with safety, ethical, and regulatory requirements both before and during deployment.
Deployer: A deployer, as defined by the EU AI ACT, is a natural or legal person, public authority, agency, or entity that uses an AI system under its authority, excluding those using AI in a personal, non-professional capacity.
Intenseye’s customers, typically organizations and EHS teams in workplace environments, are categorized as deployers under the EU AI Act. They are responsible for using Intenseye’s AI systems in a compliant and transparent manner, ensuring that all usage aligns with ethical and regulatory expectations. This includes the obligation to notify employees or relevant stakeholders when AI systems are in use, reinforcing transparency and fostering trust in the workplace.
By working together within this structured provider-deployer framework, Intenseye and its customers collaboratively uphold the EU AI Act’s standards.
Intenseye's dedication to safety and regulatory compliance ensures that its technology not only supports workplace safety objectives but also fully aligns with the EU AI Act’s rigorous requirements, establishing a strong model of responsible AI deployment across jurisdictions.
Risk-based categorization of AI systems
To manage AI effectively, the EU AI Act employs a risk-based framework , classifying AI systems into four distinct levels: Unacceptable Risk, High Risk, Limited Risk, and Minimal or No Risk. Each category comes with specific compliance requirements, ensuring that the most restrictive rules apply to applications posing the greatestrisks.
1. Prohibited AI systems
The EU AI Act aims to classify AI systems based on their potential risks to fundamental rights and safety. Unacceptable risk systems, which are strictly prohibited, pose significant threats to fundamental rights and freedoms. Examples of these unacceptable AI applications include:
• Social scoring systems : Systems designed to rate or classify individuals based on behavior, which could lead to discriminatory practices or invasion of privacy.
• Real-time biometric identification in public spaces : This includes the use of facial recognition for surveillance, which is only permitted under specific, narrowly defined circumstances.
• Manipulative and exploitative AI : AI systems targeting vulnerable individuals or those using subliminal techniques to manipulate behavior are strictly prohibited.
Intenseye's AI powered EHS management softwareis designed to enhance workplace safety by detecting unsafe acts and conditions , thereby preventing accidents and injuries. It operates to safeguard employee well-being without infringing on their fundamental rights or freedoms. Intenseye’s AI technology enhances workplace safety through transparent, non-intrusive safety analysis, which aligns with the EU AI Act’s commitment to upholding fundamental rights. It does not involve facial recognition for surveillance practices or real-time and biometric identification, thus avoiding the unacceptable risk category.
2. High-risk AI systems
High-risk AI systems face significant regulatory requirements due to their potential impact on safety, well-being, or fundamental rights. These include applications in areas like critical infrastructure, education, and employment. For high-risk systems, the EU AI Act mandates:
• Risk management : Comprehensiverisk assessments and thorough documentation to mitigate harm.
• Transparency and explainability : Clear and detailed explanations of how AI systems make decisions.
• Data governance : Ensuring data quality, representativeness, and freedom from bias.
• Human oversight : Human operators must have the authority to intervene as needed.
Intenseye's safety AI software is designed to improve safety without compromising it. By seamlessly integrating with existing cameras, it analyzes workplace environments in real-time, identifying potential safety hazards and enabling EHS teams to take timely preventive actions. Intenseye’s focus on risk identification and privacy-conscious design allows EHS teams to respond quickly without infringing on workers' privacy. This proactive approach to safety risk management, combined with strong data security practices, demonstrates Intenseye’s alignment with the EU AI Act’s goals of promoting safety while upholding rights.
3. Limited risk AI systems
Limited-risk systems, such as chatbots, face fewer restrictions but must meet transparency requirements. For example, users must be informed whenever they interact with an AI system. This transparency measure helps prevent reliance on or misuse of these systems.
Although Intenseye’s AI-powered EHS management software primarily serves a high-stakes purpose in safety, it also embraces transparency principles seen in limited-risk systems. Safety managers and users are fully informed about how Intenseye’s AI-powered leading safety indicatorsoperate, reinforcing trust and responsible use.
4. Minimal or no-risk AI systems
Minimal-risk systems, like spam filters or recommendation engines, are largely exempt from specific AI regulations. These applications pose negligible risk to users and public welfare, so they do not require specialized compliance measures.
Extraterritorial scope of the EU AI Act
Similar to the General Data Protection Regulation (“GDPR”), the EU AI Act incorporates an extraterritorial scope, extending its provisions beyond the EU’s geographic boundaries under certain conditions.
Specifically, the EU AI Act applies when an AI provider places a system or general-purpose AI models on the EU market, regardless of whether the provider is based within the EU or a third country.
Additionally, the Act applies to deployers of AI systems with an EU establishment, as well as providers or deployers located in third countries whose AI systems' output is used within the EU—a principle known as the "effects principle."
The implications of this extraterritorial reach are significant, as the EU AI Act’s extensive jurisdiction applies to both European and non-European entities that provide AI products, services, or outputs to the EU.
Relocating operations outside the EU does not exempt entities from the EU AI Act’s requirements if their systems impact EU consumers or markets.
Consequently, non-EU companies serving EU customers must align their AI practices with the EU AI Act’s standards to maintain compliance, underscoring the Act’s role in setting as a global benchmark for global AI governance.
How the EU AI Act impacts businesses
The EU AI Act encourages all businesses utilizing AI to focus on ethical practices, data governance, and risk management. By promoting responsible innovation, the EU AI Act provides clear compliance guidelines while emphasizing human oversight and accountability.
Businesses, especially those in high-risk categories, must adhere to rigorous data governance standards, transparency, and human-centered AI practices.
Additionally, organizations must prepare to document their AI systems thoroughly, which involves explaining data sources, training processes, and decision-making pathways. This level of transparency is designed to build public trust, enabling companies to innovate ethically. By emphasizing ethical AI standards, the EU AI Act is expected to influence global AI regulation worldwide, setting a precedent for accountability and fairness in technology.
Intenseye and the EU AI Act: Ensuring responsible, safe and Ethical AI
The EU AI Act’s focus on risk categorization highlights the importance of thoughtful AI design, especially in areas where safety and privacy are paramount. Intenseye’s workplace safety solution aligns with the Act’s regulatory intent, designed to enhance, not undermine, worker well-being.Here’s how:
‍ 1. Clear ethical boundaries : Intenseye’s safety AI solution is not classified as an unacceptable risk because it avoids in real-time biometric identification, social scoring, or manipulative practices. Instead, our solution enhances workplace safety by identifying unsafe acts and conditions, empowering EHS teams to take proactive measures to prevent accidents.
‍ 2. Proactive safety support : Intenseye’s goal is risk reduction, aligning it with the core objectives of the EU AI Act. By integrating seamlessly with existing security systems, it offers real-time insights that enable swift preventive action, enhancing the safety and security of workplace environments.
‍ 3. Data privacy and security : Our safety AI software is built with data privacy and security at its core. Video data is encrypted both in transit and at rest, with faces blurred to protect individual privacy. Data not indicative of safety risks is deleted immediately, while evidence-related media follows a strict, limited retention schedule. These practices not only ensure safety compliance but also demonstrate Intenseye’s commitment to responsible data management.
‍ 4. Transparency and user control : Intenseye promotes transparency and control, which are essential for responsible AI. Users are fully informed of how the AI system functions and its scope, reinforcing our commitment to transparency and empowering users to take full ownership of their safety technology.
‍ 5. Commitment to continuous improvement : As regulations evolve, so do our practices. Intenseye is dedicated to maintaining the highest standards of safety and privacy, continually refining our technology and ensuring ongoing compliance with regulatory requirements.
Leading the way in workplace safety with responsible AI
The EU AI Act represents a groundbreaking regulatory approach to AI, setting global standards for ethical and accountable AI deployment.
Through its risk-based classification, the EU AI Act provides a structured framework that allows companies to innovate within well-defined ethical boundaries, ensuring AI serves as a tool for good while safeguarding fundamental rights.
At Intenseye, we see the EU AI Act not just as a regulatory mandate but also as an affirmation of our commitment to responsible AI. By aligning our technology with the EU AI Act’s principles of transparency, data privacy, and human oversight, we are able to meet and exceed industry standards.
Our proactive approach to workplace safety exemplifies how AI can be both transformative and ethically sound, and we are proud to be a leader in this evolving field.
As AI technology continues to grow, intenseye remains dedicated to pioneering AI solutions that prioritize safety, uphold rights, and strengthen public trust.
The EU AI Act provides a valuable framework, and we are fully committed to advancing a responsible, future-oriented vision for AI in workplace safety.
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### The Future of Human–Machine Collaboration Starts With Safety

URL: https://www.intenseye.com/blog/the-future-of-human-machine-collaboration-starts-with-safety

Insights from Sercan Esen on how trust, behavior-aware safety, and real-time data will shape the future of human–machine collaboration, based on his work with the World Economic Forum.

The Future of Human–Machine Collaboration Starts With Safety
EHS and manufacturing leaders know this better than anyone: the way your people work with machines today will shape your safety record tomorrow.
I recently joined the World Economic Forum to support their upcoming Global Framework on Human–Machine Collaboration, drawing from what we learn every day on real shop floors with Intenseye customers. The conversations confirmed something we see across industries. When you stay close to operations, one thing stands out.
Safety is not a department. It is the foundation every other function stands on.
Below are the core ideas I shared with the WEF team and why they matter as factories move toward more advanced forms of human–machine collaboration.
1. Human–machine collaboration starts with trust
Factories are adopting vision systems, robotics, and autonomous equipment at high speed. But none of this technology delivers its full value if frontline teams do not trust it or if leaders bypass the very rules meant to protect people.
Most failures that get labeled “human error” are actually signals pointing to deeper issues. Workflows that do not match reality. Targets that push people into unsafe shortcuts. Tools that were not built with the worker in mind.
Human–machine collaboration succeeds only when people trust the environment they operate in and the tools that support them.
2. Behavior is the real frontier of safety innovation
A light curtain can stop a machine. It cannot stop someone from walking around it.
For decades, safety systems have focused on equipment states, not human behavior. Today, technology finally allows us to understand how people move, why they take certain paths, and where systems unintentionally invite risk.
This shift from reactive inspection to real-time, behavior-aware safety is what will define the next era of industrial operations. It gives organizations the ability to redesign work so safer actions happen naturally and risky ones get engineered out.
3. New safety roles are already emerging
As AI becomes embedded in day-to-day operations, new safety-critical roles are taking shape. These roles bridge technology, human behavior, and operational reality.
EHS AI Specialist. Tunes and validates AI models, and helps teams use safety insights in the right way.
Safety Agent Supervisor. Guides how real-time signals turn into action, ensuring consistent responses across shifts and sites.
Human–Machine Workflow Designer. Designs tasks, zones, and handoffs so people and machines interact safely and predictably.
These roles already exist inside some of our customer environments. Preparing people for them is one of the biggest workforce opportunities of the decade.
4. Automation should remove exposure, not people
A major shift is underway. Instead of telling workers to “try again” on hazardous steps, organizations are redesigning those steps so the machine absorbs the risk and the worker stays clear of harm.
The goal is not headcount reduction.
The goal is exposure reduction .
Automation becomes a tool for safer collaboration, allowing people to focus on oversight, problem solving, and the judgment that machines rely on.
5. Safety needs a real seat at the strategy table
Safety data is no longer a compliance artifact. It is one of the most accurate views of how work actually runs, especially as people and machines become more interconnected.
When leaders treat safety data as a strategic input, safety teams help shape how systems work, and frontline workers can interact with technology as partners, not rule followers trying to compensate for broken processes.
This is essential for true human–machine collaboration. Without it, technology and people end up working against each other instead of together.
Where this work is heading
The WEF team is now building a global framework around these questions, reflecting challenges that EHS and operations leaders face every day. This work brings together the World Economic Forum’s Frontline Talent of the Future and The Next Frontier of Operations initiatives and will launch in 2026 to help guide how human–machine collaboration evolves worldwide.
There is no future of work without the future of safety.
If you are rethinking how your people and machines will work together over the next three to five years, I am always open to compare notes.
Learn more:
Frontline Talent of the Future
The Next Frontier of Operations
‍

### The history of Ergonomics

URL: https://www.intenseye.com/blog/the-history-of-ergonomics

Embark on a journey through the evolution of ergonomics, highlighting Intenseye's instrumental role in shaping its trajectory for a more ergonomic future.

The term Ergonomics comes from the Greek words Ergon, meaning work, and Nomos, meaning law. According to the International Ergonomic Association , Ergonomics is defined as the scientific discipline concerned with understanding interactions among humans and other system elements and the profession that applies theory, principles, data, and methods to design to optimize human well-being and overall system performance.
Ergonomics was first used in 1857 by Professor Wojciech Jastrzebowski in Poland, but it was not until a 1949 meeting of the British Admiralty that the term Ergonomics was proposed, and then officially accepted in 1950. After formally being accepted and recognized, the British Ergonomic Society was formed in 1952, and the Human Factors Society shortly thereafter was formed in 1957 in the United States. (Pandve, 2017)
Despite these key milestones in the 1800s and 1900s, the concepts of Ergonomics have been around as long as the human species has. Our ancestors selected and invented tools to accomplish necessary tasks to survive. Fast forward hundreds of years, tools have been redesigned and enhanced with efficiency in mind to make work easier, as well as safer.
The Industrial Revolution was one of the first big booms for Ergonomics. Manual labor was essential during this time as the advancements in technology we have today were not available. Early Ergonomics pioneers evaluated manual tasks to find easier ways to complete those tasks, with a focus on standardization and job process simplification to eliminate non-value-added steps to improve production and efficiency; these are considered some of the first traditional ergonomic assessments. (Pandve, 2017)
The field of Ergonomics continued to grow during and immediately following World War II. The focus of Ergonomics shifted from overall production and efficiency to also include worker safety. Research in the field of Ergonomics started to grow to incorporate applied biomechanics and physiology to understand the impact of work on the individual.
Muscular forces, physiological responses, perceived rates of exertion, and other cognitive loads began to be of interest to Ergonomics researchers to minimize exposure to musculoskeletal disorders (MSDs). (Ergoweb LLC, 2017)
Emerging technologies in ergonomic assessment
For many years, ergonomic assessments have served as a staple and focus of the Ergonomics industry. The NIOSH Lifting Equation, Rapid Entire Body Assessment (REBA), Rapid Upper Limb Assessment (RULA), Job Strain Index, and numerous other physical assessments have been conducted manually for many years, but with the emergency of technology, the field of ergonomics has seen incredible strides in terms of innovation and the ability to perform these same assessments.
We have seen the emergence of improved robotics and automated solutions, the adoption of human modeling and simulation tools, and even the implementation of both active and passive exoskeletons.
A new wave of technology and innovation in the Ergonomics industry is in the form of wearable technology, motion capture, and artificial intelligence.
Wearable technology devices have become popular additions to the workforce in warehousing, manufacturing, and many other industries.
These devices allow for easy tracking of data surrounding biomechanics and postures, repetitive motion, personal protective equipment (PPE), lone worker/employee down alerting, environmental temperature, forklift and vehicle driving, as well as contact tracing and social distancing.
Motion capture and artificial intelligence are emerging as players in the ergonomics assesment space as well, due to the ability to perform industry-accepted ergonomic evaluation efficiently.
There are various motion capture and artificial intelligence products that require manual video capturing, uploading, and performing manual inputs based on each video’s operational details to retrieve an evaluation score and risk level.
Even more on the cutting edge, there are 24/7 analysis solutions with prebuilt rules and rely on computer vision and machine learning to minimize manual inputs.
At Intenseye, our AI-powered workplace safety management software can perform 24/7 EHS analysis, see the unseen, and perform Ergonomic assessments and evaluations in real time without historical manual interaction.
Intenseye allows for ergonomic exposures to be captured, proactively, without the reliance on safety incident reporting to trigger an ergonomic assessment of the operation of interest.
How to choose the right ergonomics assessment software
When selecting ergonomics assessment software, it’s essential to prioritize tools that provide real-time insights, scalability, and efficiency.
The right ergonomic solution should seamlessly integrate with existing systems, continuously analyze exposures, and deliver actionable data for improving workplace safety. Here, we explore key features to look for to ensure your software enhances ergonomic risk management and supports proactive safety initiatives.
Functionality
Look for software that leverages existing 2D CCTV camera systems to assess multiple subjects simultaneously while understanding spatial dimensions effectively.
Scalability
Opt for a cost structure that’s based on facility rather than per user or license. This approach enables organization-wide coverage without restricting usage.
Efficiency
Ensure the software provides continuous, 24/7 visibility, capturing ergonomic safety data without requiring manual collection or upload efforts.
Accuracy
Choose ergonomic assessment solutions that offer reliable computer vision and AI technology, backed by expert validation to maintain data quality and consistency.
Proactiveness
Find an ergonomic tool that doesn’t rely solely on past safety incidents or near-miss data but continuously analyzes exposures in real-time, capturing risks as they arise.
Reporting
A comprehensive interactive dashboard that allows you to customize data views according to operational needs can greatly enhance reporting capabilities.
Action Tracking
Select software that includes in-dash planning for immediate action, as well as the ability to track exposure reduction once actions are completed.
Intenseye enables users to cast a wider net to minimize their Ergonomic exposures by providing a scalable, efficient, and accurate solution that will provide health and safety professionals with actionable data to send their workforce home the way they came to work.
To learn more about Intenseye’s ergonomics assessment tool, schedule a demo with us !
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References
International Ergonomics Association (IEA) (2017) Definition and Domains of Ergonomics.
Pandve, H. T. (2017). Historical milestones of ergonomics: from ancient human to modern human. J Ergonomics , 7 , e169.
History of ergonomics . Ergoweb LLC. (2017, March 28). Retrieved November 28, 2022
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### The role of AI in bridging safety work and safety of work

URL: https://www.intenseye.com/blog/the-role-of-ai-in-bridging-safety-work-and-safety-of-work

Explore how Intenseye is transforming workplace safety by bridging the gap between safety work and safety of work.

At Intenseye, our journey began with a simple observation. As I visited over 50 flagship manufacturing facilities across various industries, I met exceptional EHS teams working tirelessly to ensure bridging the gap between safety work and safety of work.
Despite having thousands of frontline employees, there were only a few safety team members with limited resources. Their day-to-day jobs revolved around covering safety work, leaving them little time to focus on leading safety indicators and the safety of work.
I couldn’t help but notice the stark contrast between the abundance of new technologies, such as AGVs (Automated Guided Vehicles), flying drones, automated robots, and advanced monitoring systems, being used to increase production, efficiency and the seemingly outdated approach to workplace safety that primarily relied on lagging indicators with pen and paper mostly.
This observation led us to question why the same technological advancements that were transforming other aspects of manufacturing hadn’t yet been applied to workplace safety.
This realization became the foundation of the Intenseye idea, aiming to bridge the gap between safety work and the safety of work by leveraging transformative AI technology.
A brief history of safety approaches
Workplace safety has come a long way since the early 20th century when basic safety regulations were first established. As industries evolved and workplaces became more complex, so did the focus on employee health and safety.
Traditional approaches to workplace safety, often referred to as “safety work,” have laid the groundwork for modern practices. However, they have not kept up with the rapid advancements in technology and the changing needs of today’s workplaces.
Intenseye, a leading AI-powered safety management software company, steps in to connect safety work and the safety of work.
Safety work started with the introduction of labor laws and regulations to protect workers from hazardous conditions in the early 20th century. Over time, as industries evolved and workplaces became more complex, new safety standards and guidelines were established. Companies began adopting a more proactive approach to safety, focusing on hazard identification, risk assessment, and control measures.
Despite these advancements, traditional incumbent software platforms have primarily focused on managing and recording safety work, rather than improving the safety of the work itself.
These platforms have not adequately addressed the need for real-time hazard identification and mitigation, often relying on lagging indicators such as incident reports and injury rates rather than leading indicators that provide a more proactive approach to safety.
Before discussing how AI can accelerate the transition from 'safety work' to 'safety of work', let's briefly introduce the concepts of safety work and safety of work.
What is safety work?
Safety work refers to various activities within organizations that primarily focus on managing safety. According to Provan et al. , safety work involves purposeful efforts to create, maintain, or disrupt aspects of an organization to improve safety.
These activities include risk assessments, safety training, incident investigations and reports, and the development and implementation of safety policies and procedures.
However, safety work can be perceived as less value-adding and peripheral to the primary objectives of the organization and sometimes conflicts with the safety of work.
What is safety of work?
In contrast, the safety of work is about preventing injury and creating a safe work environment. It focuses on goal-directed behavior and the continuous improvement of safety performance. Safety work has the potential to contribute to the safety of work, however, safety of work, by definition, " aims to directly achieve the primary purpose of the organization. ”
By focusing more on proactive safety risk reduction, organizations can shift their safety management approach from reactive to proactive, identifying and addressing hazards before they lead to incidents.
This shift enables the safety of work to be more closely aligned with the overall goals of the organization, and it is where next-generation technology solutions come into play.
How AI can bridge the gap
EHS professionals are often caught between completing administrative tasks related to safety work and focusing on more value-adding activities that ensure the safety of work. But AI can accelerate a shift from safety work to safety of work to address this dilemma.
Providing 24/7 real-time leading safety indicators
Lagging indicators have long been the foundation of safety work, providing valuable information on past safety performance. However, their retrospective nature makes them less effective in driving proactive safety measures and improvements.
Conversely, leading safety indicators offer real-time insights and a forward-looking perspective on safety, allowing organizations to take a more proactive approach to managing the safety of work. But computer vision AI can provide real-time data-based analytics to quantify how work is performed at the sharp end.
As David Provan explains, safety professionals usually find it difficult to influence leaders to perform proactive safety leadership activities.
Shifting the mindset from relying on lagging indicators to embracing leading indicators can be challenging, as it requires organizations to adopt a proactive approach and transform their existing safety culture. I remember a conversation with an EHS team considering deploying our solution. This particular facility had identified machine-man interactions as their top risk hazard.
Although they had the most engineering controls in place, they still had the highest incident rate among the company’s portfolio. They had weighted mattresses to control confined space entry, light curtains to automatically trigger machine shutdown, and light controls to make machine operations or stops visible for all frontline teams.
We managed to convince them to deploy Intenseye in their facility and see the data we might uncover. The results were eye-opening: within the first 24 hours, during a night shift, Intenseye detected over 100 critical unsafe acts and conditions .
Today, this customer has deployed Intenseye in all of their facilities and production lines across 10 locations. They have integrated our real-time alerts to stop production lines when a critical unsafe act occurs.
EHS management now relies on our leading indicator data to prioritize their initiatives and set new targets, showcasing the power of focusing on the safety of work and the value of real-time, data-driven insights.
Building a positive & shared safety culture
It is crucial for organizations to emphasize the significance of safety and demonstrate their commitment to it in order to establish a culture where safety is given utmost priority in every aspect of their operations.
However, creating such an environment can be challenging due to the complex social dynamics and conflicting demands within organizations.
Intenseye's real time insights generate an alignment on future safety strategies and ownership from both frontline teams and management due to its objectivity.
The data-driven approach helps close the gap between the work as imagined and work as done as well as the gap between frontline teams and management.
By giving workers a voice, Intenseye helps to create a more inclusive and collaborative work environment that benefits everyone involved.
Intenseye empowers them to share their experiences and insights with management, enabling them to make better-informed decisions. This not only increases the level of trust between workers and management but also creates a culture of shared responsibility and accountability.
Empowering EHS teams
Safety professionals invest a significant amount of time and effort in developing and implementing safety processes, ensure and verify compliance. They also should perform the necessary safety practices to ensure a healthier and safer work environments.
Computer vision AI has the potential to transform the way safety work is conducted by automating and streamlining key processes.
By leveraging this technology, EHS professionals can save significant time and resources, allowing them to focus on improving workplace safety while simultaneously managing risk and driving value.
Moreover, AI can act as a "source of truth" for EHS teams by providing accurate and reliable data that can be leveraged to gain leadership support, secure the resources needed to drive continuous improvement, and quantify the impact in real-time, while gathering data in a more efficient and automated manner.
This way, AI can engage all stakeholders in a more effective and ethical way.
Shaping the future of safety management
This shift in safety management is driving the evolution of safety work, with a stronger focus on the safety of work. Intenseye is at the forefront of this shift, offering AI-powered safety management solutions that seamlessly integrates with existing facility cameras to provide real-time leading indicator data and a proactive approach to safety management.
By bridging the gap between safety work and the safety of work, these solutions are transforming workplace safety culture and improving the well-being of employees across various industries and regions.

### Visualizing safety risks with AI 

URL: https://www.intenseye.com/blog/visualizing-safety-risks-with-ai

Ready to explore how to visualize safety risks with AI? Surpass traditional visualization methods with Intenseye, the world's #1 safety management software.

Visualizing safety risks with AI (artificial intelligence) is essential for the success of any organization. Yet, as businesses continue to evolve, so do the challenges and potential risks that come with running a facility. Particularly in complex industrial environments, identifying potential hazards and taking proactive measures to prevent accidents and injuries can be a daunting task.
Facilities with machinery, pedestrians, forklifts, or dangerous materials need careful planning to keep employees safe. Intenseye's Visual Analysis module assists safety teams in identifying high-risk areas within their facility. This enables them to proactively address potential accidents and implement preventive measures. Intenseye's Visual Analysis helps safety teams see their facility's safety landscape with Heatmaps and Pathway, enabling them to identify and mitigate risks real time, raise safety awareness, increase overall compliance and foster a culture of safety in their workplace.
Heatmaps: Pinpoint high-risk areas and plan robust corrective actions
In their book Visualising Safety , Teemu Reiman justifies why visualization is so important for workplace safety with a Chinese proverb:
One of the most obvious reasons why visual representations feature so prominently in safety can be attributed to the Chinese proverb ‘a picture is worth 10,000 words’. Because we think with the help of images, pictures, diagrams and other forms of imagery help us to reflect deeply beyond words.
Intenseye's Heatmaps in the Visual Analysis module help EHS teams identify safety risks more effectively than images and diagrams. This helps them determine where action needs to be taken. The heatmaps use colors to indicate the frequency of safety risks in different facility areas.
Heatmaps also allow them to compare trends over time to evaluate how effective their corrective actions are in reducing risks and improving safety. The change in heatmap sizes indicates if the corrective action plan is effective or if it needs to be revised to better address the root cause of the safety risk.
Intenseye's Heatmaps feature helps identify risks and can be used with our Reports feature. This gives EHS professionals a better understanding of overall safety performance. With Reports, they can set up automatic emails to receive regular updates on facility safety.
To highlight the efficacy of Intenseye’s Heatmaps feature with a real-life example, let me share the success story of one of our users, a large-scale beverage manufacturer. By analyzing heatmaps, the facility discovered a concerning pattern: Areas near the conveyor lines were consistently highlighted with increased intensity, indicating a higher frequency of safety risks.
Concerned about the potential hazards associated with working at or near the conveyors, such as crushed-by and amputation injuries, as well as head and brain injuries, the facility's safety team swiftly launched an investigation and found out that employees were occasionally climbing onto the conveyors to retrieve items. Accordingly, the safety team took swift action, implementing strict measures to prevent unsafe interactions. This caused fewer accidents with conveyors, making the workplace safer and showing that our Heatmaps feature works well.
Pathway: Optimize traffic flow for improved safety
When it comes to Intenseye’s Pathway feature, safety leaders gain the power to visualize the roads taken by employees to identify high-traffic areas that may require special attention.
One of the key benefits of this Pathway feature is the ability for EHS teams to review the data based on different facility shifts, providing valuable insights into safety trends and patterns. By analyzing the Pathway data for each shift, they can gain a deeper understanding of traffic flow variations and identify any potential safety issues that may arise during specific shifts.
A prime example of the effectiveness of this feature comes from one of our users, operating in a large manufacturing facility, who utilized Intenseye’s Pathway feature to monitor traffic flow and strategically readjust their facility floor plan to optimize traffic and reduce the risk of incidents.
With the improved traffic management, the facility experienced a significant decrease in accidents and near misses, fostering a safer work environment for employees. Additionally, the streamlined operations resulted in smoother workflow, reduced downtime, fatigue management and increased overall productivity. Also, by using visual analysis organizations can better bridge the gap between safety work and safety of work.
And the best part? We understand that tracking employee movements can raise concerns about privacy violations. That's why we've incorporated cutting-edge technologies like face-blurring and 3D anonymization to ensure that employee privacy is maintained while still allowing for effective safety risk management. By tracking incidents rather than individuals, Intenseye's AI-powered technology helps not only reduce workplace accidents but also fosters a culture of trust and respect among employees and accordingly contributes to psychological safety in the workplace.

### What a Safety AI Agent Actually Does in Your EHS Program (A Practical Look at Chief)

URL: https://www.intenseye.com/blog/what-a-safety-ai-agent-actually-does-in-your-ehs-program-a-practical-look-at-chief

A practical look at what Chief, Intenseye's AI agent, actually does inside your EHS program.

The phrase "AI agent" has been attached to enough enterprise software features over the past two years that EHS buyers are right to approach it with some skepticism. When everyone is calling their workflow automation an agent, the word loses meaning.
So here's a specific, practical description of what Chief — Intenseye's AI agent — actually does inside a safety program. Not the marketing version. The operational one.
Chief is a platform-native analyst
Chief is threaded through the entire Console Dashboard, not bolted on as a separate interface. That means it has access to the full context of the platform: real-time alerts, safety scores, corrective action status, historical trends, ergonomics data, cross-site performance.
The practical implication of this is that Chief can answer questions about your actual safety data — not generic questions about workplace safety best practices, but specific questions about your program. "How did our vehicle-pedestrian alert volume in the Ohio facility compare to last month?" "Which camera zones are producing the highest ergonomic exposure this week?" "What are the top three recurring risks across our facilities?"
Those answers come from your data, surfaced in plain language, without requiring an export or a manual query.
Chief as a coaching tool
One of the most time-consuming parts of EHS management is preparing coaching materials. After a near miss, an EHS manager needs to have a conversation with the worker involved — and that conversation should be specific, constructive, and grounded in what actually happened.
Doing that well requires time. The manager needs to review the footage, think through the relevant risk factors, identify what should have happened differently, and frame the conversation in a way that's useful rather than punitive.
Chief does that work in seconds. From a specific alert, it generates a coaching task with discussion talking points and concrete prevention steps — grounded in the event, not pulled from a generic template. The EHS manager reviews it, adjusts if needed, and has a coaching conversation that's actually useful.
This doesn't replace the manager's judgment. It removes the preparation overhead so the manager can focus on the conversation.
Chief as a reporting tool
EHS leaders regularly need to communicate program performance to facility managers, plant leaders, and executive stakeholders. Building those communications manually — pulling data from dashboards, writing summaries, preparing materials for safety meetings — takes time that doesn't add analytical value.
Chief can compare safety scores across facilities, summarize weekly performance, identify what's driving trend changes, and prepare structured outputs for different audiences: a summary for frontline supervisors, a presentation for an upcoming safety meeting, an email update for site leadership.
The output quality depends on the quality of the data in the platform. But for teams that are already using Intenseye's monitoring and corrective action capabilities, the data is there — and Chief can package it for the right audience without requiring someone to build that package manually.
What Chief doesn't do
Chief doesn't replace EHS expertise. It doesn't make decisions for safety teams. It doesn't catch risks that the underlying detection layer isn't surfacing. And it doesn't invent data — its outputs are grounded in what the platform has actually recorded.
For EHS buyers evaluating AI features in safety software, the right question is not "does this system have an AI agent?" It's "does the AI agent have access to my actual operational data, and does it help my team do specific things faster?"
The answer to both of those questions, for Chief, is yes. Whether that's useful depends on how your team currently spends its time — and where the gaps between seeing risk and acting on it are costing you the most.
See Chief in action in the Console Dashboard walkthrough →

### What It Looks Like When a Safety Program Starts Getting Smarter Over Time

URL: https://www.intenseye.com/blog/what-it-looks-like-when-a-safety-program-starts-getting-smarter-over-time

Safety programs hit a ceiling when their data stays siloed. Here's what changes when it's connected — and why the improvement compounds over time.

Most enterprise safety programs improve incrementally, year over year. Incident rates come down. Corrective action closeout rates improve. Training completion goes up. These are real improvements — the result of dedicated EHS teams, management commitment, and genuine operational focus.
But there's a ceiling that most programs hit — a point at which the interventions that drove early improvement stop producing the same returns. Incident rates stop declining. SIF rates plateau. The program is well-run, but it's not getting materially better.
The reason, in most cases, is not effort. It's architecture.
How programs get stuck
Safety programs that operate on fragmented data can improve the components that are being tracked. They can't learn from the full picture, because the full picture was never connected in the first place.
A corrective action that works — that changes behavior and reduces alerts in a specific zone — is a data point. If that corrective action lives in a separate system, or gets closed out without being connected to the alert that prompted it and the trend data that followed, its value ends when the action closes. The next time a similar risk appears, the team starts from the same baseline.
This is the fundamental problem with siloed safety management: every intervention is essentially a one-time event. The institutional learning that should accumulate across interventions doesn't, because the systems don't connect.
What connected programs learn
When alerts, corrective actions, coaching records, trend data, and facility-level safety scores all live in the same operational view — and when AI is applied to surface patterns in that data — safety programs start building compound institutional knowledge.
Every corrective action creates a record of what worked. The intervention that reduced vehicle-pedestrian alerts in a loading dock by 50% over two weeks is not just a resolved task. It's a data point about what kinds of interventions work for what kinds of risks in what kinds of zones. Over time, that library becomes a resource.
Chief, Intenseye's AI agent, can draw on that institutional record directly. What corrective actions have been most effective for ergonomic risks in packaging zones? Which coaching approaches have produced the clearest behavioral change for PPE compliance? How do safety scores in similar facilities typically respond after implementing a specific process change?
These aren't questions most EHS programs can answer from their current data. A connected platform, over time, can.
The compounding value of continuous ergonomics monitoring
Take ergonomics as one example of compounding program value. A quarterly assessment gives a snapshot. Continuous camera-based REBA/RULA scoring gives a persistent view of exposure across the facility.
After six months of continuous monitoring, a program has data on which camera zones drive the highest ergonomic exposure, which workers have the highest cumulative load, and which process changes have reduced musculoskeletal risk in specific areas. That data is not available from a traditional quarterly assessment — not because the assessments aren't valuable, but because they can't produce the sample volume needed to identify systemic patterns.
With that data, ergonomics program design becomes more targeted. Resources go toward the highest-exposure areas. Interventions get evaluated against actual trend data, not anecdotal observation. The program improves faster because the feedback loop is shorter.
The predictive layer
The furthest point on this arc is predictive risk — the ability to look at what's happening in a facility now and assess what's likely to happen next.
Intenseye's platform uses Nvidia Cosmos-powered predictive risk modeling to surface likely permutations of safety events before they occur. Rather than responding to risks that have materialized, EHS teams can see how current conditions are trending and where risk is building.
This capability is most useful for programs that have built a foundation of connected, historical data — because the predictive models are strongest when they can draw on a rich operational record. The investment in connected safety infrastructure compounds into a stronger predictive capability over time.
Where to start
Safety programs don't get built overnight, and they don't get smarter overnight. The compounding value of connected data takes time to accumulate. The right starting point is not designing the perfect long-term architecture — it's closing the most significant gaps in visibility and workflow today, with a platform that can support the program's growth as it matures.
The Control Room, Ergonomics, Visual Analytics, Chief, and the Insights module are each a starting point. Most teams begin with their highest-priority risk type and build from there. The program that gets smarter over time starts with the decision to connect the data.
See the full platform in the Console Dashboard walkthrough →

### What’s familiar may not be the safest option: Overcoming familiarity bias

URL: https://www.intenseye.com/blog/whats-familiar-may-not-be-the-safest-option-overcoming-familiarity-bias

Explore how AI helps safety teams overcome familiarity bias, improve data quality, and focus on what matters most.

In workplace safety, what feels familiar can often be the most dangerous. When risks become routine, they’re easy to overlook — not because of negligence, but because of something deeper: familiarity bias. This psychological tendency leads workers and safety professionals alike to unconsciously normalize unsafe conditions simply because they’ve grown used to them.
But now, AI is here to help eliminate these blind spots. By removing familiarity bias, scaling data collection, and freeing up professionals to focus on the field, these solutions are transforming how we manage safety.
Recognizing familiarity bias in the field
Something that happens very often — and it’s really just a psychological thing, not something done on purpose — is that a lot of reports come back with everything looking fine. But when visiting a site, it becomes clear that not everything is fine. Some things are missed. This can often be dialed down to familiarity bias.
When data is gathered manually, it’s harder for someone who experiences the daily realities of a facility to see problems clearly. Their perception of risk — what’s right and wrong — can be very different from the ideal state. AI does a really great job of eliminating this bias. You tell AI what is right and what is wrong, and it’s very black and white, so there’s not a lot of room for perception.
Sometimes, when you’re in the same environment all the time, issues become part of the background and go unnoticed. So what’s familiar to you may not be the safest option.
The limits of human observation and perception
We suffer from a need for a statistically large data set to make our analysis. And then the other thing we need to try and filter out is lacking quality. Anyone who’s done investigations of any kind knows that the human ability to observe, remember, and then report data degrades pretty quickly, and there are a lot of areas for errors in the data.
With an AI solution that is impartial, you do have a huge amount to not only increase the quantity of the data but the quality of the data. AI has a baseline that filters out human bias for inaccuracy. It allows you to collect all the data that you need and then filter out the things that are applicable or not applicable. It gives us a lot more timely insight into what we’re seeing out there and gets rid of the familiarity bias.
Teaching what the ideal safety state looks like
This ties into teaching what our ideal state is. People are used to dealing with issues every day. They don’t think they’re out of the norm, or they’re not able to envision that future state or perfect state. If we can teach that, we can have much better identification.
If we can use AI-powered safety management software to be very black and white about what is acceptable and not acceptable, we’ll have a lot better data quality.
Speaking of data quality, this expands on what was said earlier. One obvious issue is understanding what is actually unsafe or safe due to biases. But the second issue is the amount of safety data we’re collecting.
Seeing the full picture: AI vs. manual inputs
Often, companies set a goal for their associates, such as conducting an inspection twice a month and submitting observations. The volume of data we get from these initiatives may seem large, but compared to the data from an AI-powered EHS solution, it’s actually quite small.
It raises the question: Are the trends we’re identifying truly the top issues, or would we notice more if we could zoom out and observe everything happening on the floor every day?
A great example is if you get 30 observations a month, and one of those highlights a specific issue in the warehouse. If you compare this data with other data collected through AI, you might discover that the scope of the problem is either much smaller or larger than initially thought.
So when we increase the quantity of data that we’re inputting into our systems, we’re able to understand what’s the scale of the problem, do we really have a problem or do we have a perceived issue? This allows us to prioritize and act on our biggest problems first. When you compare the manual inputs from teams on the floor to the data collected through AI, we gain a much more comprehensive dataset that helps us analyze issues, effectively removing bias from perception.
It’s like running a 24/7 “cold eyes” review, which is invaluable for identifying things that are going wrong or could go wrong.
Reclaiming time for the work that matters most
To give us the ability to bring the right information to bear and to know what our top opportunities are, that takes data.
Historically, safety profession has been bound to paper for observations, hazard identification, all those things. And the processing of that and getting the right data converted into information is difficult when you’re trying to do it all manually. There’s just not enough time in the day to collect all that and ensure that you can process it and come up with information.
If we are spending more time on the collection and processing of data, we’re not spending a lot of time out in the field making that data impactful to our folks.
So every spot that we can, we want to look for ways to remove a person, a piece of paper, or a step in the chain between data collection and its actual use. The administrative overload is real. All of us are bound by it.
Remember the days where we were trying to make sure that we can find trends. And that took hours and days sometimes.
The more we can put into automation, the more effective safety management is going to be.
Familiarity bias can cause even the most well-meaning safety teams to overlook real risks. But with the help of AI-powered safety management systems, organizations can eliminate subjective blind spots, process more data with less effort, and provide their teams with accurate, unbiased insights.
By teaching what the ideal state looks like — and backing that vision with automation and scale — AI doesn’t just replace manual processes. It enhances the work of EHS professionals and empowers them to lead safety forward.
To learn more, schedule a call with our experts: {"https://www.intenseye.com/get-demo"}

### Why manufacturing companies now see safe workplaces as a competitive advantage

URL: https://www.intenseye.com/blog/why-manufacturing-companies-now-see-safe-workplaces-as-a-competitive-advantage

Manufacturers are reframing safety from compliance to competitiveness. In this blog, Intenseye CEO Sercan Esen explores how AI, real-time pSIF prevention, and worker-centric innovation are helping companies cut injuries, retain frontline talent, and strengthen productivity across global supply chains.

Preventable injuries cost an estimated 103 million workdays every years.
Prioritizing workplace safety helps manufacturers attract and retain frontline talent.
Emerging tools such as AI, computer vision, wearables, exoskeletons and digital twins enhance both workplace safety and worker experience.
Manufacturers are facing a global labour crunch while contending with costly workplace injuries. In the US alone, the skills gap could leave 2.1 million manufacturing jobs unfilled by 2030, potentially costing $1 trillion.
Forward-looking companies are responding by elevating safety from a compliance issue to a core strategy – helping attract and retain frontline talent while boosting productivity and resilience.
From compliance to competitiveness
After decades of pursuing lean operations and automation, industry leaders are now recognizing that human capital is just as vital to resilience as technology.
The World Economic Forum’s Centre for Advanced Manufacturing & Supply Chains highlights workforce transformation as a strategic pillar of competitiveness, with initiatives such as the Frontline Talent of the Future promoting human-centric factories that focus on attracting, retaining, upskilling and promoting well-being and safety.
This shift is also generational. A recent McKinsey & Company survey found that Generation Z is the only cohort to rank physical and psychological safety among its top three job-staying factors: a signal that younger industrial talent demands safer workplaces.
Meanwhile, persistent supply-chain disruptions have made it clear: a safe workforce is not optional. Fewer injuries mean fewer stoppages, less absenteeism and a more engaged, adaptable workforce.
It’s no surprise that 77% of manufacturers say they face ongoing recruitment and retention challenges. Many are now investing in workplace safety not just to comply but to compete – linking it directly to innovation, productivity and employee loyalty.
This is where technology becomes decisive. Intenseye’s \[pSIF AI platform\](link to SIF playbook) enables manufacturers to move beyond compliance audits and lagging indicators by surfacing leading signals of serious injury and fatality (SIF) exposure in real time. Instead of waiting for incident reports, safety teams gain continuous visibility into risks such as collision zone–struck by/against , unsafe machine use, or missing PPE. By reducing high-severity exposure, companies don’t just meet regulatory standards — they create workplaces that attract talent, build trust, and sustain long-term competitiveness.
Workplace safety that retains talent
The business case for safety is compelling. Preventable injuries cost millions of workdays each year. Eliminating them could return an estimated 103 million of them, the equivalent of keeping more than 394,000 full-time workers on the job.
Intenseye’s own customer data shows that across sectors, manufacturers that prioritize safety are already seeing returns:
Food packaging : A global producer piloted Intenseye’s real-time safety monitoring platform. Plants using the system had a 44% lower total recordable injury rate compared to those without it. Morale improved and voluntary turnover dropped to 5% – less than half the 11.6% industry average. Explore our Food & Beverage Playbook .
Beverage manufacturing : A Latin American brewery deployed AI-powered cameras on bottling lines. Within three months, high-risk incidents decreased by 85%, resulting in fewer injuries and less unplanned downtime. Workers cited visible safety systems as a key reason for joining and staying.
Industrial manufacturing : A global thread manufacturer implemented digital safety tools and saw a 24% drop in recordable injuries. In the first year, over 1,700 near-misses were flagged and 53,000 proactive fixes were enabled. An internal survey showed 93% of employees felt safer – driving higher engagement, especially among experienced operators.
High-tech, human-centric safety
The next wave of safety innovation combines advanced technologies with human-centric design. AI and computer vision are becoming force multipliers for Environment, Health and Safety teams.
These platforms connect to CCTV systems and monitor for hazards such as missing personal protective equipment or unsafe equipment use, triggering real-time alerts that enable fast intervention. Intenseye’s computer vision–powered hazard detection is already giving EHS teams this capability at scale, transforming everyday cameras into proactive safety allies.
Wearable safety tech is also gaining traction. Smart helmets, badges and sensors track proximity to equipment, fatigue and posture. Exoskeletons – wearable support suits – are being adopted for physically demanding jobs.
Toyota, for example, has mandated ergonomic exosuits for overhead tasks at select plants, aiming to reduce musculoskeletal disorders, which account for a third of lost workdays in the US.
When a hard day’s work is less punishing on the body, it’s easier to recruit and retain people to do it.
Factories of the future
Looking forward, digital twins and simulation tools offer even greater potential. These virtual replicas allow companies to model production layouts and workflows, identify collision risks or ergonomic hazards and design safer facilities from the outset.
Because digital twins are powered by industrial Internet of Things (IoT) data, they can remain synchronized with real-world operations and evolve with them.
Crucially, these innovations are not happening in isolation. They are part of a broader move toward augmented workers – using technology to enhance human performance and safety, not replace it. This vision is strongly championed by multi-stakeholder groups such as the Forum’s manufacturing community.
Through initiatives such as the Global Lighthouse Network (which showcases factories integrating Industry 4.0 technologies) and the Centre for Advanced Manufacturing and Supply Chains’ Frontline Talent of the Future initiative, companies are sharing knowledge on scaling AI, IoT and other fourth industrial revolution tools in ways that benefit workers.
The through-line is clear: the factories of the future will leverage smart tech and empowered people together. AI will handle the dull, dirty and dangerous tasks; humans will focus on higher-level work in an environment where data-driven systems actively manage risk.
This is the Safety-III shift — a framework Intenseye has outlined in our SIF Playbook — where technology reduces exposure to high-severity hazards, while people focus on innovation, collaboration, and continuous improvement.
Conclusion
This synergy between people and technology foreshadows a future in which workplace safety becomes a driver of innovation; enabling greater agility, sustainability and competitiveness across global supply chains. Realizing this vision at scale, however, requires a coordinated effort across the entire ecosystem.
No single company can tackle the manufacturing labour crisis alone. Safe, empowering work environments are essential to rebuilding the industrial talent pipeline. Progress around workplace safety requires collaboration between businesses, regulators, workers, technologists and educators.
At Intenseye, we see every day how real-time AI-powered SIF prevention helps manufacturers cut injuries, attract talent, and boost productivity. See how real-time AI changes your exposure landscape .
Originally published in {"https://www.weforum.org/stories/2025/09/manufacturing-safe-workplaces-talent-productivity/"}
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### Why near misses aren’t enough: The rise of pSIF-driven safety

URL: https://www.intenseye.com/blog/why-near-misses-arent-enough-the-rise-of-psif-driven-safety

Near miss reporting is no longer enough—see how real-time pSIF detection leads the next era of safety management.

Near misses tell us what almost happened. pSIFs tell us what will.
In safety management, leaders long relied on near miss reporting, what almost happened to learn, reflect, and prevent future harm. But near misses are lagging indicators by nature. They require something to go wrong first. It’s time for a shift.
Imagine this:
At a manufacturing site, a worker trips over an unsecured hose. Luckily, no injury occurs. If we are lucky again, that was observed and logged as a near miss. It’s reviewed a week later.
Now imagine the same scenario, but the hazard is flagged in real time, 24/7, before anyone is even near it because it’s been identified as a potential Serious Injury or Fatality (pSIF) risk. That’s not just prevention. That’s transformation.
pSIF scores are the new frontier in safety—rooted in predictive modeling and hazard severity, not just frequency. They shift the focus from what might have been to what must not happen. At intenseye, we’ve built the first Real-Time Safety Management and SIF Prevention platform that detects hazards, predicts risk, and helps safety teams act before incidents unfold.
Most AI safety solutions today aren’t real-time and their claims to “stop incidents” fall flat. Incidents happen in seconds. Expecting to prevent them with delayed data is like expecting an airbag to deploy a week after a crash.
Predictive and proactive alone is an overpromise—safety must be real-time.
➡️ From retroactive reports…
✅ To real-time interventions.
➡️ From near miss logging…
✅ To pSIF-driven automated prioritization.
The future of workplace safety isn’t reactive. It’s predictive, prioritized, and powered by AI.

### Why Safety Is Moving Toward Physical AI

URL: https://www.intenseye.com/blog/why-safety-is-moving-toward-physical-ai

Safety programs track incidents. Physical AI shows how risk builds before they happen. Here's why that shift matters.

Most safety programs today are doing what they were designed to do. They track incidents, support compliance, and help teams respond when something goes wrong.
What they don’t do well is show how risk builds during normal work.
That gap is becoming harder to ignore. Operations are faster, more complex, and more interconnected than they were even a few years ago. Serious risk is no longer tied to rare events. It comes from repeated exposure in everyday situations, the same routes, the same shared spaces, the same shortcuts that feel harmless until they aren’t.
Safety teams know this. The challenge has always been proving it early enough to act.
The limit of traditional safety data
Incident reports and audits tell you what happened. They don’t tell you what is happening.
Most high-severity risk forms long before an incident occurs. It shows up in how people and equipment move, how spaces are shared, and how work actually gets done under real conditions. These patterns rarely make it into logs or dashboards because nothing has failed yet.
As a result, teams are often left managing risk based on assumptions, experience, and partial signals.
That approach doesn’t scale.
What changes with physical AI
Physical AI shifts the focus from outcomes to exposure.
Instead of relying on self-reported data or periodic observation, physical AI systems interpret what’s happening in the environment itself. They surface patterns in movement, interactions, and behavior that are otherwise invisible at scale.
With Sentinel, Intenseye’s integrated hardware and software system, this insight is generated on site and delivered in a way safety and operations teams can act on quickly. The value is not in seeing everything. It is in seeing the right things early enough to matter.
This turns safety from a reactive function into an operational one.
What this signals about the future of safety
This is the direction safety is moving.
Not toward more reporting, but toward better visibility into real work. Not toward more controls, but toward earlier, more targeted intervention.
Physical AI doesn’t replace safety expertise. It strengthens it by giving teams a shared, objective view of where exposure is increasing and where action will have the greatest impact.
The organizations adopting this approach are not waiting for incidents to define their priorities. They are managing risk as part of daily operations.
A practical shift already underway
Physical AI is no longer experimental. It is being used today to reduce exposure, align safety and operations, and drive measurable improvement without disrupting work.
For many teams, Sentinel is becoming a core part of how prevention actually works, not as a dashboard, but as a way to see risk earlier and respond with precision.
That is what modern safety leadership looks like. Clear visibility. Informed decisions. Action before harm.

### Why should you invest in EHS AI software to reduce safety costs? 

URL: https://www.intenseye.com/blog/why-should-you-invest-in-ehs-ai-software-to-reduce-safety-costs

Want to cut safety costs and prevent accidents? Discover how EHS AI software can transform your workplace with real-time insights and proactive solutions!

Each year, nearly 3 million people lose their lives due to workplace accidents, and over 374 million more suffer non-fatal injuries that lead to extended time off work.
These numbers don’t just stand as cold figures on a page – they reflect real lives and real people, each with families and communities hoping they make it home safely. This alone is more than enough to prove why businesses need to transform their approach to workplace safety.
Growing up in Australia, my father was a plant GM of a large manufacturing facility. I saw firsthand the immense responsibility leaders in this field carry. He always stressed that his most important job wasn't meeting production targets or managing costs—it was ensuring every worker went home safely. Manufacturing leaders aren’t just overseeing operations; they’re responsible for creating a safety culture where wellbeing is a core value that drives every decision.
Adopting safety AI software across the entire organization won't just help you achieve much safer facilities, it will also reduce your EHS-related costs. It’s not about adding another tool to your tech stack but about integrating AI that can help you mitigate risks before they become safety incidents.
But the question remains: how does AI translate into safer facilities and reduced costs for EHS teams? While measuring cost-saving in safety has long been seen as an uphill battle, there are clear statistics that highlight the value AI brings.
1. Poor EHS practices cost you 30% more ( HSI )
The 2024 Global EHS Readiness Report paints a clear picture: companies with less integrated EHS systems spend up to 30% more on incident-related costs than those with more developed ones. These costs go beyond just medical bills or fines.
They include things like damage to your company’s reputation, lost productivity, and higher employee turnover—impacts that can be harder to quantify but just as costly.
Fragmented information across multiple systems and manual processes complicates EHS management, leading to inefficiencies and potential errors.
Many organizations either use separate, disjointed systems for hazard detection and safety management or rely on outdated, manual processes that are prone to errors and inefficiencies. This fragmented approach often leads to delayed responses to hazards and a reactive rather than proactive safety culture.
This is where AI-powered EHS management software can make a big difference. Intenseye’s EHS Suite centralizes incident reporting, task management, inspections, audits, and template creation within a single platform, streamlining communication, ensuring data integrity, and providing a holistic view of all EHS operations.
Plus, Intenseye Chief simplifies and accelerates the process of compiling and analyzing data from diverse sources via its advanced AI capabilities, enabling instant data analysis and integration from multiple formats and sources, effectively reducing response times and increasing accuracy.
2. 75 million workdays lost due to work-related injuries ( NSC )
In 2022 alone, 75 million workdays were lost due to injuries. That number should be enough to make you rethink your current approach to safety management.
The impact of lost workdays extends far beyond one employee's absence. When a key team member is out, it creates a domino effect, slowing down the entire operation. These indirect costs — often difficult to quantify — can quickly surpass the direct expenses of the injury itself, leading to significant financial strain.
By adopting Intenseye's AI, Swire Coca-Cola significantly enhanced their real-time risk identification and mitigation capabilities, leading to a 60% reduction in safety hazards in 2022 alone.
Alongside this improvement, they saw a 27% decrease in Lost Day Rates (LDR), modernizing their safety management and making their operations far more efficient.
3. OSHA penalties increased to $16,000 per violation ( OSHA )
With OSHA increasing its maximum penalties for serious violations to $16,131 per violation starting January 16, 2024, and boosting fines for willful or repeated violations to $161,323 per violation, the importance of workplace safety has never been more pressing.
These regulatory changes make it clear that businesses must rethink how they manage safety. Intenseye’s AI offers an effective solution by providing real-time leading indicators data that allows you to act swiftly and accurately.
By identifying unsafe acts and conditions as they occur, our AI-powered EHS management software equips decision-makers with the insights needed to prioritize actions and allocate resources efficiently.
This proactive approach helps teams not only to address risks before they escalate but also to reduce human error, streamline reporting, and ensure compliance with OSHA standards.
Beyond compliance, the true value of AI lies in giving safety and operations teams the tools they need to make EHS an integral part of day-to-day operations, driving long-term improvements that go beyond avoiding fines and focus on truly protecting your workforce.
4. Advanced EHS systems cut workplace injury costs by 50% ( EY )
A study referenced in the 2024 Global EHS Readiness Report shows that organizations with advanced EHS systems like this witnessed a 50% reduction in the costs associated with workplace injuries and illnesses.
One of our customers in the railroad equipment manufacturing industry decided to invest in Intenseye after calculating the cost of adopting AI and the estimated total cost of injuries. The numbers painted a clear picture: the average cost of just one crushing injury in the workplace is a jaw-dropping $1,700,000 .
Now imagine investing in AI to make your workplaces safer and healthier. Preventing just one such incident with Intenseye's real-time leading safety indicators and AI-generated data could save over 97% in potential costs.
Companies that embrace this Safety AI adoption can not only meet safety program requirements but also unlock a substantial drop in EHS costs through reduced injuries, lower compensation costs, and improved worker well-being.
Wrapping up
These numbers make one thing clear: investing in AI-powered EHS software like Intenseye isn’t just about keeping pace with digital transformation — it’s about transforming your entire approach to safety and performance.
What truly sets Intenseye apart is its ability to grow with your business. From the plant floor to the boardroom, its scalable platform adapts seamlessly, giving you the tools to optimize safety management at every level of your organization.
Whether you're a small startup or a global enterprise, Intenseye delivers real-time insights that empower you to stay ahead of health and safety risks, while driving productivity across the board. In short, investing in Intenseye isn’t just a safety upgrade — it’s a strategic move toward a more resilient, efficient, and future-ready operation. Start reducing your EHS costs today !

### Women Who Lead Safety Forward

URL: https://www.intenseye.com/blog/women-who-lead-safety-forward

For Women’s History Month, Intenseye highlights women leaders in EHS who share candid reflections on safety leadership, the realities of the profession, and the lessons they’ve learned protecting people in high-risk environments.

For this year’s Women’s History Month, we invited women leaders in EHS and operations to share their honest reflections on the realities of the profession, the challenges they’ve navigated, and the lessons they carry forward.
Their words speak for themselves.
When Safety Becomes Personal
Lisa Vanderhulst from Schwan’s reflects on the moments that redefine safety leadership and the responsibility that comes with shaping culture.
What’s a reality of working in EHS or safety that people outside the field often misunderstand?
One big reality of working in EHS and something most people outside the field don’t fully see is how much of the job is about influencing human behavior, not just enforcing rules. People often think safety is mostly about regulations, PPE, audits, and paperwork. And yes, those are important. But the “real work” of EHS looks more like:
You’re a change‑management leader, not a rule enforcer. Our work plays an important role in influencing human factors, culture, trust, and communication, which drives outcomes more than any standard. ‍
1. Success often looks like “nothing happened,” which can be hard for others to value, but preventing something invisible doesn’t always get recognized. There are plenty of coaching conversations, hazards detected and corrected, process redesigns, and leading indicator work.
2. Safety isn’t the opposite of production—it is production done well. Outside EHS, people sometimes view safety measures as obstacles that slow work down. Inside the field, you learn that high reliability, efficiency, and quality improve when safety is built in, not bolted on.
3. EHS Leaders put a lot of work into building relationships. If front‑line employees, supervisors, or leadership don’t trust you, nothing moves. Credibility and empathy are often more important than technical expertise.
4. It’s emotionally heavy work. You carry the responsibility of preventing harm to people you know by name. Near misses, serious injuries, and investigations can take a real emotional toll—something people outside the field don’t always recognize.
5. Safety is rarely black‑and‑white. There are always gray areas, risk tradeoffs, operational constraints, human variability, and organizational pressures. The job is navigating these complexities without compromising people’s well‑being.
Has there been a moment in your career that changed how you think about safety, risk, or your role as a leader?
There are moments in an EHS career that stay with you. For me, it was the day we had a serious injury on-site. I remember standing in the aftermath, equipment quiet, people shaken, the air heavy with questions. In those moments, every procedure, policy, and KPI fades into the background. What remains is a person who got hurt at work, and the realization that they had trusted us to help keep them safe. That day changed how I think about safety, risk, and my role as a leader. I stopped looking at safety as something we manage and started seeing it as something we shape . Risk isn’t just a line in a JSA—it’s a reflection of the pressures, assumptions, shortcuts, and habits that build up over time. It’s influenced by culture, clarity, confidence, and sometimes even silence. I learned that real leadership in safety is not about enforcing rules, it’s about creating conditions where people can speak up, slow down, ask for help, and feel supported for doing the right thing even when it’s inconvenient. I also realized that the absence of incidents doesn’t mean safety exists in an organization. Most importantly, that day reinforced why EHS work matters. Behind every conversation, every uncomfortable question, and every improvement we push for, there’s a person, a family, a future you are impacting.
Serious incidents leave an indelible mark. If you work in EHS, you know these moments; they change you, and they sharpen your sense of purpose!
Finding Your Voice in Safety
Renita Stroupe , EHS Specialist at King’s Hawaiian, speaks to what it really takes to lead in safety, especially in environments where your voice isn’t always invited.
What’s the reality of working in EHS or safety that people outside the field often misunderstand?
Many assume EHS is only about enforcing rules and checking compliance boxes, when in reality it’s about influencing behavior, building trust, and supporting people so they can work safely. It’s far more collaborative and people‑centered and psychology based. Really understanding the "why" and making things relatable, not just enforceable.
What’s something you’ve had to learn or navigate as a woman in EHS that wasn’t part of the job description?
I’ve had to learn how to confidently assert my expertise in environments where safety perspectives aren’t always prioritized. Balancing professionalism with standing firm and being okay with not always getting the invite but making my presence known.
Has there been a moment in your career that changed how you think about safety, risk, or your role as a leader?
Yes—seeing how one small oversight can ripple into something serious shifted my mindset. It reinforced that safety leadership isn’t about checking boxes; it’s about being proactive, present, and willing to address concerns before they escalate.
When you see someone get a life changing injury, especially one that could have been easily prevented, if ANYONE would have stepped up as a leader, it's really difficult to watch people just keep running in the same vicious cycle. You have to sometimes be the voice for those who feel voiceless.
As a leader, I am geared toward solving problems before they every become one, even if I don't get the highlight reel at the end of the day.
What’s a challenge you’ve faced as a woman in EHS or operations that doesn’t get talked about enough?
The pressure to be both approachable and authoritative at the same time. It can take extra effort to establish credibility and the same sense of firmness while demonstrating care and collaboration. Many times, the same unwavering firmness can be seen in a negative view as male counterparts, just as leading with care can be seen as a 'feminine' trait instead of a people-centered approach. Being reliable and forthcoming and supporting people is not the same as coddling people and unfortunately sometimes that is the collective thought for safety especially as a woman in EHS facing operations that is predominantly male led.
Based on your experience, what advice would you give to women entering EHS or safety leadership today?
Trust your expertise, ask questions boldly, and build relationships across every level of the organization. Your voice matters—use it, even when it feels uncomfortable. Safety leadership is about influence, and authenticity is one of your strongest tools. Never apologize for being you.
Leading with Care
Abby Ferri , Director of Networks at the National Safety Council, reminds us that safety leadership begins with care and connection.
What’s a reality of working in EHS or safety that people outside the field often misunderstand?
The quote "Nobody cares how much you know, until they know how much you care" is a way of life in the EHS profession. The ability to genuinely convey concern and care for the workforce unlocks your ability to work collaboratively with the trades and other stakeholders in workplace safety. I've never portrayed grand gestures, it's just the little things of short connecting conversations adding up over time that show someone you genuinely care about their safety at work.
What’s something you’ve had to learn or navigate as a woman in EHS that wasn’t part of the job description?
Early in my career I felt I had to almost disappear by wearing the same jeans and boots as the guys on the jobsite. I didn't realize at the time how much that stifled my personality at work. At my first job straight out of college, I knew I couldn't come across as a know it all, so I always asked questions and provided follow up when questions were asked of me. Even though it felt like I was minimizing myself or my knowledge, it was a great way to get the workforce to open up to me about their jobs and what was lacking in safety. Following up with workers with options for better work gloves or safety glasses was the first light bulb moment for me - people loved that I listened and came back with answers. They couldn't wait to talk about the next thing.
Has there been a moment in your career that changed how you think about safety, risk, or your role as a leader?
I have a first half and "this half" of my career that are solidly divided around 2018 when I started advocating for the safety of women specifically in trades roles and advancing young women into STEM and EHS career paths. I was activated by strong and established women in safety like Kelly Bernish, Fay Feeney, Jennifer Zipeto, Karen Larue, Jo Pina, and Dr. Patricia Reed; and my momentum is boosted by women in the generation behind me and our allies who stand on the work of those established women and take it further like Lindsay Bell, Wyatt Bradbury, Subena Colligan, Bryce Griffler, Amy Roosa, Rachel Walla, Brandy Zadoorian, Allison Short, and Abby Holovach.
What’s a challenge you’ve faced as a woman in EHS or operations that doesn’t get talked about enough?
Sometimes, just being believed, whether it is about a situation you personally faced or are advocating for someone else about.
Based on your experience, what advice would you give to women entering EHS or safety leadership today?
It's a great time to be a woman in EHS, while there are still challenges, your perspective and approach are valued, welcomed, and necessary for the next generation workforce.
The Complexity Behind the Scenes
Brandy Zadoorian , CEO and Principal Consultant at Triangle Safety Consulting LLC, highlights the operational rigor that often goes unseen.
What’s a reality of working in EHS or safety that people outside the field often misunderstand?
One reality people outside of EHS often misunderstand is the sheer volume and complexity of what goes into maintaining an effective safety program. It involves creating and implementing written site-specific safety programs, developing and updating Lockout/Tagout procedures, conducting recurring training, performing audits and inspections, investigating incidents, tracking corrective actions, staying current with OSHA regulations, and documenting everything. A strong safety program is proactive, which requires consistent, organized, and detailed work.
Based on your experience, what advice would you give to women entering EHS or safety leadership today?
My advice to women entering EHS or safety leadership is to never stop learning and to be confident in your voice. Safety professionals have to speak up (sometimes in rooms where they’re the only woman), and your expertise deserves to be heard. That's why they hired you!
Also, don’t try to carry everything alone. Early in my career as an EHS Specialist, I experienced burnout because I felt like I had to handle every task myself, from conducting PPE hazard assessments to reviewing and updating periodic LOTO inspections. Looking back, I wish I had asked for help or brought in fractional support when needed. Strong leaders know when to collaborate and leverage resources. Asking for help isn’t a weakness; it’s strategic.
Leading Safety Forward
What stands out across these reflections is how personal this work is. Safety is not just policy or process. It’s the responsibility of protecting others in environments where the stakes are high and the pressure is real.
For many women in EHS and operations, that responsibility also comes with navigating spaces that have not always been built with them in mind. Earning credibility, speaking up, and leading with confidence in male-dominated environments takes resilience. And yet, they continue to show up, advocate, influence, and protect the people around them.
We’re grateful to the women who shared their experiences here, and to the many others doing this work every day. Happy International Women’s Day and Women’s History Month to all the women shaping safety, supporting others, and carrying this responsibility with strength and purpose.

### Work-as-Imagined vs Work-as-Done: Can we measure the gap?

URL: https://www.intenseye.com/blog/work-as-imagined-vs-work-as-done-can-we-measure-the-gap

Curious how Intenseye’s AI can bridge the gap between Work-as-Imagined and Work-as-Done to boost safety and efficiency? Discover the answer now!

Taylorist production and management concepts perceive the work as a mechanical and static process , suggesting that flawless procedures can prevent human error or deviations. This view overlooks human factors, creating a gap between Work-as-Imagined (WAI) and Work-as-Done (WAD).
Modern workplaces contrast sharply with the Taylorist view, highlighting the need to focus on Work-as-Done rather than Work-as-Imagined. This approach values practical, adaptable systems over idealized ones, acknowledging that reliability stems from flexibility rather than perfect design.
Applied to EHS, this means it's not just about enforcing work as imagined, but rather understanding why tasks are performed in specific ways and how safety teams can mitigate the risks that arise from these practices.
This shift in perspective views employees as humans - as it should be -, not liabilities, and treats performance variability as a crucial component of system functionality. But of course, variability can lead to both successes and failures. Simply reducing variability cannot prevent failures, nor can imposing rigid constraints on standard operations ensure safety.
Emerging concepts, like Safety Differently , Safety II, and Human Organizational Performance (HOP) argue that strict adherence to procedures is unrealistic and lacks necessary flexibility for operational needs.
Defining the gap: WAI vs WAD
The work set in detailed procedures is often described as Work-as-Imagined. In practice, however, work is carried out as work-as-done, or WAD . What is commonly agreed upon in the literature is that there is a disconnect between WAI and WAD. This discrepancy creates a gap between established procedures and competing work priorities .
In the book Doing Safety Differently , the authors, Dekker and Conklin, explore this gap between what we expect to happen on the job and what actually occurs in reality. When planning a task, we often have a specific idea of how it should be done, without considering all potential risks.
Given the ever-changing dynamic nature of the workplace, employees are obliged to improvise new ways while executing tasks. In many cases, it works out fine and the task is completed safely. However, also on many occasions, it can lead to high-risk unsafe acts and conditions .
How much does this gap influence the outcome?
A study analyzed 524 procedural steps to complete tasks in a high-risk industry. The key findings were:
• 66% of steps were performed as prescribed by procedures.
• 34% of steps showed discrepancies between Work-as-Done (WAD) and Work-as-Imagined (WAI), such as:
- Completing steps in a different order.
- Partially completing safety-critical steps.
- Missing steps entirely.
Given the pivotal importance, how can we measure the gap in a reliable way, or can we?
With the developments in computer vision AI in recent years, a novel way begins to emerge to measure and quantify the gap, providing previously unknown insights around WAI vs WAD.
By integrating AI into the existing cameras within facilities, organizations can analyze workplaces 24/7 and generate real-time leading safety indicators and data-driven insights to show the scale of the gap.
How best to close the identified gap?
The literature recommends a few strategies:
• By involving frontline teams in the planning process
• Adopting a just culture
• Using risk assessment tools
By using these strategies, we can better understand and address the safety risks involved in a task. What Intenseye can analyze is extremely powerful and could prevent workplace injuries by closing the gap with the help of real-time leading safety indicators.
Intenseye's AI ensures that data is handled responsibly and without bias, aligning with the highest privacy and security standards. By seamlessly integrating a human-centric approach, we empower our customers to deploy AI in ways that prioritize both safety compliance and employee well-being.
Rather than attributing challenges to employees, we address gaps in safety compliance through systemic improvements, creating safer and more inclusive workplaces. Early involvement of employees encourages trust and ensures that AI-generated leading safety indicators contribute to a psychologically safe work culture, where employees feel confident to voice their concerns and collaborate on meaningful resolutions.
Intenseye’s AI-powered EHS management software in action
Here’s a fascinating example of how AI can help close the gap between WAI and WAD. One of our customers has a metal shearing area, and no one is allowed within the footprint of the machine while it is operational. There is a control panel within the predefined safe area that is accessed while the shearing machinery is operating.
The management is aware of this issue and has the plan to move the control panel. However, what they did not know is that over 300 times a month, employees are putting themselves at risk to meet the job requirements.
With Intenseye’s AI-powered safety management software, the company is now aware of the safety risks in real-time, like how often and how severe they are, all in one place.
This makes it easier for EHS teams to focus on the most critical areas and improve workplace safety faster.
Another issue is the fact that manual reporting processes are grossly underreporting events due to a flow of disjointed data. What Intenseye does is, provide the true number of at-risk behaviors, real frequency of deviation and real-time leading safety indicators.
By providing the frequency of safety incidents, we are able to help the highest risk become prioritized and the most critical gap between work as done and work as planned gets closed.
Beyond WAI vs WAD: Any other gap that we can close?
We have observed that Intenseye’s real-time leading safety indicators fosters an organic constructive dialogue between decision-makers and the frontline staff in order to collectively address the issues at the holistic level. This way, Intenseye contributes to closing the gap between the sharp end and the blunt end, culminating in a transparent work culture and better-engaged workforce.
In one of our clients’ EHS directors’ words: “ Intenseye is the voice of the frontline.”
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Resources
S. Dekker, T. Conklin. Do Safety Differently
E. Hollnagel, Can we ever imagine how work is done?
D.L. Phipps, D. Parker, E.J.M. Pals, G.H. Meakin, C. Nsoedo, P.C.W. Beatty, Identifying violation-provoking conditions in a healthcare setting. Ergonomics
Ashraf, A. M., Peres, S. C., & Sasangohar, F, Investigating a new classification to describe the differences between Work-As-Imagined and Work-As-Done In Proceedings of the Human Factors and Ergonomics Society Annual Meeting
S. Dekker, J. Bergström, I. Amer-Wåhlin, et al. Complicated, complex, and compliant: best practice in obstetrics . Cognit. Technol. Work, 15 (2013), pp. 189-195, 10.1007/s10111-011-0211-6
R. Lawton. Not working to rule: understanding procedural violations at work . Saf. Sci., 28 (1998), pp. 77-95, 10.1016/S0925-7535(97)00073-8
Denham L. Phipps,Dianne Parker,Elisah J.M. Pals,George H. Meakin ,Chidozie Nsoedo & Paul C.W. Beatty, Identifying violation provoking factors in a healthcare setting
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### Your Safety Team Isn't Missing Data. It's Missing a Way to Act on It.

URL: https://www.intenseye.com/blog/your-safety-team-isnt-missing-data-its-missing-a-way-to-act-on-it

Enterprise safety teams have more data than ever. The real challenge is connecting it so teams can act on what they see.

There is no shortage of safety data in enterprise manufacturing and industrial operations.
Alerts from computer vision systems. Incident reports in legacy EHS platforms. Corrective action logs. Audit findings in spreadsheets. Ergonomics assessments conducted quarterly. Near miss reports that may or may not have been filed. Worker comp claims. Inspection records. Dashboard exports that someone creates manually before every leadership review.
The data exists. The problem is that it lives in fragments — across systems, across teams, and across formats that don't connect to each other.
A safety alert that fires at 7am in an Ohio facility does not automatically become a corrective action with an owner and a deadline. An ergonomics pattern that's been building for six weeks in a specific camera zone doesn't automatically surface in an EHS director's weekly review. A near miss in one facility that has parallels to an incident in another doesn't get connected unless someone manually builds that connection.
This fragmentation is not a failure of effort. It's a structural feature of how most safety programs were built — as a collection of specialized tools and processes, each doing one job, rarely speaking to each other.
The gap between seeing and acting
What fragmentation creates, in practice, is a consistent lag between what safety teams can detect and what they can act on.
The seeing side of the equation has improved dramatically over the past decade. Computer vision covers more of the facility floor than any audit schedule could. Alert volumes have gone up. Data collection has expanded. But the acting side of safety management — the corrective action, the coaching, the executive reporting, the program improvement over time — still depends on manual coordination that can't keep pace with what the detection layer is producing.
The result is predictable: EHS managers spend significant time on administrative work that doesn't require their judgment — chasing down corrective action status, building reports by hand, translating alerts into documentation in separate systems — when their time would be better spent on the decisions that actually require their expertise.
What connected safety infrastructure changes
Connecting the detection layer to the action layer isn't a matter of adding another tool. It requires the fragmented data sources to be unified in a single operational view that supports the full workflow: from alert to corrective action to coaching to executive reporting.
Intenseye's Console Dashboard is built around this principle. Real-time alerts connect directly to task creation. Tasks carry the original video context, severity assessment, assigned owner, and timeline — without manual transcription. The Chief AI agent threads through the entire platform as a live analyst, capable of synthesizing performance data across facilities, generating coaching materials, and preparing executive summaries on demand.
The Insights module delivers AI-generated Safety Score reporting and scheduled executive summaries — so EHS leaders stop spending time on report preparation and spend more time on the decisions those reports are supposed to support.
Beyond that, the platform connects to existing EHS systems. Corrective actions can be created and transferred automatically. Data flows to existing workflows rather than creating a parallel process that teams have to maintain separately.
What this means for program maturity
The most important thing about connected safety infrastructure is not what it does in the first 30 days. It's what it builds over time.
Every corrective action creates a data point about what worked. Every coaching session gets documented. Every intervention that reduces risk in a specific zone becomes part of an organizational record that informs how the program responds to similar risks in the future.
Safety programs that operate on fragmented data stay reactive. Programs that operate on connected data get progressively better at anticipating and preventing the risks that matter most. The difference, compounded over two or three years, is significant.
The data is already there. The question is whether it's connected in a way that lets your team act on it.
See how the Console Dashboard connects safety signals to action →

### Zero incident goal: Destination or a continuous journey? 

URL: https://www.intenseye.com/blog/zero-incident-goal-destination-or-a-continuous-journey

Embracing the zero accident goal as a journey and committing to continuously improving workplace safety.

The zero incident goal is not just a number or a target to be reached but rather a mindset and a commitment to continuously improving safety in the workplace. Zero incident mindset requires a proactive approach, where we identify and address potential hazards before they can cause harm.
Companies must set high standards for workplace health and safety management, and a goal of zero accidents can be a good way to motivate safety teams to strive for the highest level of safety possible. It's important to focus on improving safety measures and responding effectively to accidents when they do occur rather than judging the safety team based on whether they can achieve a zero-accident goal.
Building a culture of safety starts with a shared mindset, where every individual feels accountable not only for their own well-being but also for the safety of their colleagues.
The fact that so many workers feel unable to report safety concerns is deeply troubling, as it reveals a disconnect between leadership and the frontline workforce. When employees are afraid to report injuries, it not only undermines trust but also increases the likelihood of more severe incidents. This fear silences critical safety feedback, leading to unaddressed safety hazards and a rise in unsafe acts and conditions .
When unsafe behaviors and risks are not reported, the root causes remain hidden, potentially leading to more serious accidents. This lack of trust in the reporting process can have a ripple effect, resulting in a higher number of injuries over time.
Addressing this challenge requires fostering a proactive and supportive EHS culture where employees feel empowered to raise concerns without fear of retaliation. Creating a space where workers can freely share their safety observations and experiences is crucial for driving improvement.
While regular training programs and open communication are key components, leveraging AI to capture leading safety indicators is transforming how organizations approach safety. By bridging the gap between frontline teams and EHS leadership, AI captures leading safety indicators, empowering employees to not only follow best practices but also voice their concerns on unsafe conditions without hesitation.
Leadership plays a pivotal role in this safety ecosystem. When management prioritizes safety and consistently shows commitment, it sets a powerful example that resonates across the organization. Routine safety audits, feedback sessions, and AI-driven leading indicators data help identify areas for improvement, reinforcing the importance of safety every day.
This blend of human and technological vigilance helps to create safer work environments where risks are minimized.
The journey towards a zero-incident workplace is ongoing, requiring collaboration, continuous learning, and a commitment to adapting both successes and setbacks into actionable improvements. By embracing this approach, organizations can reduce accidents and create a workplace where safety is a shared value—driven by the collective effort of employees and supported by technology.
We must be willing to learn from our mistakes and failures and use them as opportunities to improve the safety performance of the organizations. By continuously evaluating and refining our safety processes and procedures, we can move closer to the zero accident goal.
But we must also recognize that the zero accident goal is not an end in itself. It’s a means to an end - a way of ensuring that our frontline team members go home safe at the end of each day.
So let’s embrace the zero accident goal as a journey and commit to continuously improving workplace safety. Together, we can create a safer and healthier work environment for all.

## Case studies

### 90% reduction in safety hazards

URL: https://www.intenseye.com/case-studies/a-leading-f-b-manufacturer

A leading beverage manufacturer reduced unsafe acts and conditions by 90% within the first six months of integrating Intenseye's AI-driven insights into their safety management

A beverage manufacturer leveraged AI to address the root causes of safety incidents proactively

One of Intenseye’s valued customers is a global leader in consumer packaged goods. This company has a diverse product portfolio that includes beverages, premium spirits, beer, wine, and wellness products. With operations in over 70 countries/regions and more than 40,000 employees across 50+ facilities, the company is dedicated to employee safety and continually seeks innovative solutions to improve it.
Challenge: identifying critical hazards proactively
While the company consistently prioritized safety, optimizing real-time observation of critical safety protocols presented a unique challenge. Key focus areas included ensuring effective Personal Protective Equipment (PPE) detection, reinforcing behavior-based safety practices, and enhancing vehicle safety measures. Security cameras had been installed in their facilities, but they realized that reviewing footage post-incident was a reactive strategy that didn't address the root causes of safety incidents proactively.
Integrating EHS software for proactive safety management
The company's partnership with Intenseye enabled the integration of safety management software with their existing camera infrastructure. This project, initially launched in two facilities, expanded to two more due to the significant impact on safety measures. The collaboration was facilitated by our dedicated Customer Success team, who worked closely with the company to tailor the platform to their specific needs, including the development of innovative and customized safety use cases. To facilitate the implementation process, the safety team was also provided with knowledge base materials in their native languages, including product articles and AI-assisted onboarding videos, enabling them to acquaint themselves with all aspects of the Intenseye platform in their own language and overcome any language-related obstacles.
Intenseye impact: 90% reduction in safety hazards
Intenseye’s safety incident management software has been instrumental in making unseen hazards visible in the company’s facilities and helping their safety team make data-driven decisions to specifically address high risks associated with:
- falling from height and stairs
- traffic management
- vehicle movements
- PPE compliance.
This collaboration led to a remarkable 90% reduction in unsafe acts and conditions within the first six months, significantly enhancing workplace safety and potentially saving lives.
Beyond the paramount goal of saving lives, the integration of AI technology brought multiple operational and financial benefits for the company. These include a decrease in work stoppages, ensuring consistent productivity; reduced insurance costs due to a lower rate of accidents; minimized expenses related to workplace incidents; improved employee morale, fostering a culture of safety and trust; and an elevated company reputation as an innovator in employee safety. These benefits highlight the comprehensive impact of adopting advanced safety technologies in the workplace.

### 93% of employees feel safer: Transforming EHS in the textile industry

URL: https://www.intenseye.com/case-studies/a-leading-textile-manufacturer

In addition to measurable improvements and enhanced workplace safety culture, a remarkable 93% of the employees of our customer reported feeling safer following the integration of Intenseye's AI-driven safety management into their existing safety procedures.

1,700 near-misses captured by Intenseye’s AI

Our customer is the world’s premier industrial thread manufacturer, offering a diverse range of products, services, and software solutions, specifically tailored to the Apparel & Footwear (A&F) industries. Renowned for their innovative approach, our customer excels in developing high-technology Performance Materials (PM), including threads, yarns, and fabrics, for sectors such as Transportation, Telecoms, Energy, and Personal Protection. With over 18,000 employees in more than 50 facilities worldwide, our customer also prioritizes a safe working environment, integrating advanced safety measures and practices across its global operations.
Advancing an already strong safety culture
Our customer has always prioritized the safety of its employees, successfully managing a diverse and dynamic industrial environment. However, the evolving nature of workplace safety presented an opportunity to elevate their existing safety measures.
The primary areas they sought to enhance included:
Identification of unsafe acts and conditions: Even with robust safety measures, the continuous identification and mitigation of unsafe behaviors and conditions in a dynamic industrial environment remained a key focus area.
Improving the behavior-based safety program: They aimed to advance their existing program by integrating more precise and real-time behavioral analytics.
Workplace traffic management, Housekeeping, and Area Controls compliance: Ensuring consistent compliance in these areas was crucial, especially given the scale and complexity of their operations across multiple global facilities.
Integration with smart devices for real-time insights: They sought to leverage technology to provide immediate on-site audio and visual feedback, enhancing responsiveness and compliance with safety protocols.
Enhancing compliance and safety visibility with AI
To elevate their safety standards, our customer implemented Intenseye’s AI-powered safety management software. The key components of this solution included:
Customized EHS scenarios: Targeting specific areas such as “Speed limit” and “Working around moving equipment”, Intenseye’s safety incident management platform was tailored to identify and mitigate unsafe acts and conditions unique to their operations.
Advanced identification and reporting: Intenseye’s safety incident reporting software enabled detailed tracking and reporting of unsafe acts and conditions across various facilities, areas, and shifts, providing a comprehensive view of safety compliance.
Empowering EHS and site teams with real-time analyzing: Intenseye’s Task Management feature allowed EHS and site teams to take immediate corrective actions directly in response to detected hazards, enhancing real-time analysis and compliance management.
Smart device integration: Integrating with smart devices, such as smart plugs and network speakers, Intenseye’s AI provided on-site workers with instant audio and visual notifications. This integration not only facilitated real-time feedback but also made compliance more straightforward and effective.Through these strategic implementations, they significantly strengthened their approach to workplace safety, harnessing the power of AI and smart technology to create a safer, more responsive working environment.
Intenseye impact: 24% drop in recordable injuries
The deployment of Intenseye’s AI-powered workplace safety software at their facility led to significant, quantifiable improvements in their safety metrics:
Rapid global deployment: The decision to roll out the Intenseye platform globally was made within just two months, demonstrating their agility and commitment to enhancing workplace safety at a large scale.
Extensive facility integration: Within just six months, 28 facilities were successfully onboarded, indicating the Intenseye platform's scalability and ease of integration into diverse operational environments.
Dramatic reduction in unsafe acts and conditions: A notable 24% reduction in recordable injuries was achieved across the onboarded facilities in the first year, successfully leveraging Intenseye's AI-driven insights in identifying and mitigating safety risks.
Proactive hazard detection: Over the course of the first year, Intenseye’s AI successfully captured more than 1,700 near-misses. With these proactive cues, their safety team was empowered to see the unseen hazards, and prevent safety hazards in the workplace before escalating into any incident.
AI-driven improvement actions: By systematically analyzing the data and insights provided by our safety incident management software, our customer was able to pinpoint specific safety vulnerabilities and implement targeted interventions, significantly strengthening their safety protocols and infrastructure. In the first year, they successfully conducted over 53,000 targeted improvement actions, informed and driven by AI-powered hazard detections.
Enhanced employee safety: A remarkable 93% of employees reported feeling safer following the implementation of Intenseye. This significant increase in the employees' sense of safety clearly showcases the positive impact Intenseye has created on their workplace safety culture.

### Significant 92% reduction in stairway fall risks

URL: https://www.intenseye.com/case-studies/a-top-tier-beverage-manufacturer

Focusing on reducing fall risks and enhancing safe work practices, this case study highlights our successful collaboration with a top global beverage company that boosted safety measures and achieved a 92% drop in risky behaviors on stairways.

Ensuring compliance with the 3 points of contact rule with EHS AI software

A step ahead: using AI to prevent falls in beverage production
Despite being a leader in safety, the company faced a challenge: the risk of falls in the beverage manufacturing process. Frontline workers in beverage industry often need to climb ladders or work on high platforms, where losing balance can lead to serious accidents. To stay safe, it's important for them to always keep three points of contact (like two hands and one foot, or two feet and one hand) on the ladder or platform. This simple rule helps them maintain stability and avoid falls.
But with so many employees and different work areas, making sure everyone follows this safety rule all the time is tough. This is where the company saw a big chance to do better: the company joined forces with Intenseye to tackle this safety challenge head-on. By integrating Intenseye's AI-powered EHS management software with their existing camera infrastructure, they were able to detect someone climbing a ladder or navigating stairs without keeping the necessary points of contact.
Intenseye impact: how targeted interventions reduced stairway risks by 92%
Through the insights provided by the Intenseye's AI-powered EHS management software, the company identified a high incidence of unsafe behaviors regarding stairway usage. In response, targeted interventions were implemented, including tailored training programs and the installation of additional signage to reinforce safe stairway practices. These steps were aimed at reminding employees of the correct practices and ensuring they understood the importance of safety at all times.
The outcome of these efforts was outstanding:
• Reduction in safety hazards: By utilizing Intenseye's AI to ensure compliance with the critical three points of contact rule, the company achieved a staggering 92% decrease in unsafe behaviors related to stairway usage!
• Enhanced safety culture: The big drop in safety risks wasn’t just about fewer accidents; it really changed how everyone at the company thought about safety. Seeing the company use the latest tech to keep them safe made employees feel valued and important. This boost in morale made safety a key part of their daily work life.
• Operational efficiency: The integration of our AI-powered EHS management system not only improved safety but also streamlined operations. With real-time identification and notification, the company could swiftly address potential hazards, reducing downtime and enhancing productivity.
• Cost savings and value creation: The reduction in incidents translated to lower healthcare and legal costs, fewer production delays, and a reduction in insurance premiums. Moreover, the enhanced workplace safety culture and operational efficiency contributed to sustaining and potentially increasing the company's market value by reinforcing its reputation as a responsible and innovative leader in workplace safety.

### Catch 200x more hazards with leading indicator data

URL: https://www.intenseye.com/case-studies/catch-200x-more-hazards-with-leading-indicator-data

Learn how Intenseye's AI-powered safety management software helped a leading food manufacturer achieve a 61% reduction in hazard detections in 2022.

61% decrease in safety hazards in 9 months

How a global meat producer enhances workplace safety with Intenseye’s AI
One of Intenseye’s valued customers, a globally recognized meat producer, operates within an industry characterized by potential safety hazards including heavy machinery, sharp instruments, and intense production demands. With a workforce including more than 78,000 individuals, the company has invested in extensive safety protocols to maintain a secure and hazard-free workplace, demonstrating a deep-rooted commitment to employee well-being.
AI-powered insights for improved risk identification
While the company was already proficient in safety management, the adoption of AI-powered workplace safety software took their capabilities to the next level. By integrating intenseye’s safety management software with the existing cameras in their facilities, the company managed to detect a wider variety of safety hazards across multiple zones simultaneously. This integration enabled not just the detection but also the immediate communication of potential hazards to the safety teams.
Following the integration of Intenseye’s AI-powered technology with their existing infrastructure in January 2022, the company significantly expanded its ability to identify and respond to various safety risks. Specifically, Intenseye’s AI was instrumental in analyzing:
PPE compliance: Ensuring employees were correctly using required safety equipment to mitigate the risk of injury.
Line of fire: Identifying instances where employees might be in the path of moving equipment or machinery, and utilizing AI-powered PPE detection to prevent safety incidents.
Three points of contact: Detecting situations where employees were not maintaining the recommended three points of contact, especially in high-risk areas, to reduce the likelihood of slips and falls.
Working at heights: Recognizing when employees working at elevated positions were at risk, due to non-compliance with safety protocols or other hazards.
Manual observation vs EHS AI software
In August 2022, the company's safety leaders, empowered by AI-driven insights, skillfully identified potential safety hazards in the workplace and swiftly mitigated risks before they could escalate into injuries. As a result, they experienced remarkable improvements in their safety management:
61% decrease in unsafe act and condition detections: The company achieved 61% decrease in hazard detections, thanks to their safety leaders who effectively integrated AI insights into their existing safety protocols. They conducted targeted training sessions, re-evaluated and improved facility layouts, and engaged in continuous assessment and prompt intervention, all based on the data-driven insights provided by Intenseye’s safety management software on their specific hazards.
Enhanced hazard detection: Compared to the 3 potential hazards documented through manual observations, our AI workplace safety software emerged as a crucial assistant, notifying the safety leaders of 597 potential hazards. This vast difference underlines Intenseye AI's role in enhancing the scope and precision of hazard detection.
Boost in safety and operational efficiency: This substantial increase in hazard identification amplified the company's capacity to maintain a safe working environment. Furthermore, it positively impacted operational efficiency, as fewer safety incidents meant less downtime and more consistent productivity.
In summary, the safety professionals at the company, empowered by our EHS software for manufacturing, were instrumental in driving these significant safety improvements, demonstrating a commendable blend of technology utilization and safety expertise.

### How Coats reduced speeding incidents by 50%

URL: https://www.intenseye.com/case-studies/coats

This case study details how renowned textile manufacturer and Intenseye customer Coats uses computer vision AI to gather data, implement corrective actions, and reduce unsafe driving behaviors and conditions.

How Coats uses computer vision AI to enhance road safety in textile manufacturing?

Applying innovative techniques, Coats develops high-technology Performance Materials (PM) including threads, yarns, and fabrics across sectors such as Transportation, Telecoms, Energy, and Personal Protection. The company remains dedicated to leveraging the latest cutting-edge technologies to prioritize the safety of its employees.
Understanding the urgency of road safety worldwide
Road safety is a global issue, leading to around 328 deaths occurring daily. India has the highest number of reported road accident deaths out of 199 countries, accounting for nearly 11% of all accident-related deaths worldwide. In 2019, 151,113 people were killed and 451,361 were injured in road traffic accidents in India, however, this may be an underestimation as not all injuries are reported to the police. Many efforts have been made to reduce these safety incidents, including the annual Road Safety Week organized by the Ministry of Road Transport and Highways which runs from January 11th to January 17th and aims to raise awareness about the importance of road safety.
How Coats prevented speed limit accidents with Intenseye
To tackle road safety challenges, Coats employed Intenseye's safety incident management software. By integrating with their existing CCTV infrastructure, AI workplace safety software enabled the Coats safety team to observe road conditions and identify risks, such as increased speeding incidents, allowing for timely and effective corrective actions.
Intenseye impact: 50% reduction in speeding incidents
The data-driven insights provided by Intenseye enabled the Coats team to take swift actions, creating an immediate impact. Initial measures, including driver training and targeted behavioral training, resulted in a 20% reduction in speeding detections within the first week. Persistent communication and enforcement of safety requirements and controls led to a reduction of over 50% in speeding incidents. This proactive approach not only improved road safety at the facility but also demonstrated the effectiveness of using EHS management software to prevent safety incidents.
The Madurai New Mill Facility's experience showcases the vital role of technology in enhancing road safety, particularly in high-risk environments. With visible leadership commitment and real-time observation, the facility can efficiently address and mitigate road safety issues, ultimately contributing to the goal of eliminating traffic-related injuries and fatalities.

### How Akçansa reduced their Total Recordable Incident Rate by 25%

URL: https://www.intenseye.com/case-studies/how-akcansa-reduced-their-total-recordable-incident-rate-by-25

Murat, the Occupational Health and Safety Executive at Akçansa, has successfully leveraged Intenseye’s AI-powered EHS management software to transform their approach toward workplace safety management.

Reducing TRIR and LTIFR with Intenseye's safety AI software

Real-time hazard identification was Akçansa's top priority to prevent workplace safety hazards. This is why Murat and his team integrated Intenseye into their existing camera infrastructure.
The setup process was smooth, supported by comprehensive after-sales services including technical assistance, training programs, and regular updates. “ The support from the Intenseye team was vital for the successful deployment and continuous effectiveness of the system, ” says Murat.
Proactive workplace safety management reduces incident rates
Intenseye’s real-time identification capabilities have significantly streamlined workflows and reporting processes at Akçansa. The safety AI software provides automated data collection and customizable reports that are easy to analyze. This has empowered Murat's team to efficiently manage health and safety tasks with powerful tools like historical EHS data analysis and system integration.
The impact on key safety metrics has been substantial. Since adopting Intenseye, Akçansa observed a 25% reduction in their Total Recordable Incident Rate (TRIR), signifying fewer recordable incidents overall.
Furthermore, there was also a 30% decline in Lost Time Injury Frequency Rate (LTIFR), highlighting fewer serious injuries that lead to lost work time.
Enhancing operational efficiency with AI
Intenseye’s ability to proactively detect potential hazards not only improves safety but also enhances operational efficiency across facilities. Its scalable nature means that Murat plans to extend its use to future projects and different production lines within Akçansa.
Conclusively, Intenseye has transformed workplace safety at Akçansa by reducing injury rates and instilling a stronger safety culture among employees — with ethical AI principles ensuring security and privacy are never compromised.

### Koçtaş: Managing missing PPE and work at height risks with AI

URL: https://www.intenseye.com/case-studies/koctas-managing-missing-ppe-and-work-at-height-risks-with-ai

By integrating Intenseye's AI-powered EHS management software, Koçtaş achieved an 89% decrease in hazards from missing hard hats and identified previously unseen risks.

Modernizing safety in retail with AI-powered EHS management software

Koçtaş’s retail legacy: an overview
Koçtaş, a prominent leader in the retail industry, opened its first store in 1996, located in Izmir. The company has been consistently expanding its retail presence following a strategic partnership agreement with B&Q, a renowned leader in the European home improvement retail market, ranked 3rd worldwide.
With a widespread presence in 59 cities across Turkiye, Koçtaş leverages its robust local supply chain and international purchasing capabilities to offer a diverse range of products from both local and imported brands. Despite its commitment to providing a sustainable work environment and prioritizing environmental health and safety (EHS) for its employees across numerous facilities spread over a wide geographical area, Koçtaş was not entirely immune to common EHS risks in warehouses.
Particularly, high-severity risks such as pedestrian-vehicle interaction, climbing accidents, and slip, trip & fall risks were among the management’s major concerns especially across their vast network of facilities. This challenge highlighted the need for innovative technology to uncover risks that were not visible to the human eye. To address these challenges, Koçtaş turned to Intenseye and our AI-powered EHS management platform, to provide visual analyses and insights into the safety risks within its facilities. Intenseye's AI technology is seamlessly integrated with the facility's existing CCTV infrastructure, providing the discerning EHS teams with real-time, data-driven insights into the essence of risk causation.
89% decrease in safety hazards from missing hard hats
Warehouse workers commonly face hazards associated with heavy objects and falling from heights. A hard hat would protect the head from falling or flying objects, and that’s why it’s a compulsory piece of protective equipment that should be worn when operating in and around the warehouse.
‍ One of the most common EHS risks at their warehouse was related to the use of hard hats, a prevalent practice in the retail industry. Koçtaş efficiently utilized the platform and employed the task management module to assign tasks, leading to the decision to conduct a toolbox talk regarding hard hat usage.
As a result, between May 2023 and July 2023, the impact became visibly apparent rapidly, and there was an 89% decrease in safety hazards from missing hard hats. Effectively leveraging the task management module, Koçtaş also successfully engaged the frontline team in the safety process, thereby spreading a behavior-based safety culture throughout the warehouse.
Detecting missing guardrails with AI: a proactive approach to safety
Koçtaş’s safety team, in collaboration with Intenseye, implemented AI to mitigate risks while working-at-heights. One such area was at a high altitude, frequently traversed by employees. The AI system quickly flagged a serious safety concern: the absence of guardrails in this elevated zone. Upon receiving the images from the Intenseye platform, the Koçtaş team immediately recognized the potential danger.
They swiftly took corrective action, installing guardrails to prevent falls and ensure the safety of their workers. This proactive approach, enabled by AI, proved to be one of the most effective strategies for mitigating risks and enhancing workplace safety.
Digital near-miss data
Near misses offer valuable insights into the factors leading to unsafe incidents and provide a framework for addressing them. Regularly tracking the number of near misses can help you determine whether your warehouse is becoming safer or regressing. By leveraging leading safety indicators provided by Intenseye's AI, Koçtaş has gained significant insights into near-miss data, using it as a benchmark for company-wide KPIs.
By implementing corrective actions based on leading indicators, Koçtaş's EHS team has effectively managed potential safety risks, fostering a strong safety ethos within their operational environment. As Koçtaş continues its journey towards achieving a flawless safety record, Intenseye remains dedicated to providing innovative safety solutions and steadfast assistance to aid in the attainment of this objective.

### Nexans enhances workplace safety with Intenseye

URL: https://www.intenseye.com/case-studies/nexans-enhances-workplace-safety-with-intenseyes-safety-ai

Ela, the HSE Manager and Sustainability Country Leader at Nexans, has experienced a paradigm shift in workplace safety thanks to Intenseye’s AI-powered safety management software.

24/7 safety analysis provided by Intenseye’s AI-powered safety management software

AI-powered safety hazard detection
Before implementing Intenseye, safety management at Nexans relied heavily on manual observation and periodic safety audits. This approach had limitations in both coverage and real-time safety hazard detection. With Intenseye's seamless integration into existing camera systems, Ela and her team have turned every corner of their facility into a monitored zone:
One notable improvement has been in tracking pedestrian equipment interactions
By measuring their frequency through Intenseye’s data analytics system, Nexans was able to pinpoint high-risk areas using heat maps generated by the platform. As a proactive response, they initiated targeted interventions such as forklift slowdown zones and enhanced signaling systems in these critical areas. These actions have streamlined workflows and introduced more effective EHS risk mitigation practices.
Intenseye has also positively impacted key safety metrics for Nexans
Ela notes a measurable decrease in unsafe behaviors and near-miss notifications—a testament to the system's ability to identify hazards that were previously undetectable. This enhanced detection capability fundamentally shifted their focus towards more dynamic risk management strategies.
Operational efficiency improvements with Intenseye's Safety AI
By catching unseen safety hazards before they escalate into incidents, Intenseye has not only improved immediate response times but also fostered a culture of continuous safety awareness among employees.
Ela emphasizes that Intenseye’s ease of use coupled with comprehensive reporting tools have empowered her team to track progress towards their safety goals accurately. The customer-centric approach of the platform ensures that every identified risk translates into actionable insights swiftly implemented for better outcomes.
Intenseye's transformative AI technology doesn't just safeguard workplaces; it enhances them—boosting both operational efficiency and fostering an ingrained culture of safety at Nexans.

### Swire Coca-Cola: 27% decrease in LDR with Intenseye

URL: https://www.intenseye.com/case-studies/swire-coca-cola

This case study explains why Swire Coca-Cola joined forces with Intenseye to reduce their TIR by 50% by the end of 2030

Why is Swire Coca-Cola planning to extend the use of Intenseye’s AI-powered EHS Software?

Swire Coca-Cola (SCC) Limited, as the fifth largest global bottling partner of The Coca-Cola Company, operates 36 production facilities across Greater China, Cambodia, Vietnam, and the Western USA. This extensive operation involves a dedicated team of approximately 37,000 individuals, who are central to producing and distributing around 60 beverage brands to a consumer base of over 880 million.
Central to their mission, Swire Coca-Cola prioritizes the safety of their diverse team, ensuring strict safety standards are maintained in every aspect of their manufacturing, logistics, and administrative processes.
Navigating safety in a dynamic environment
Operating in the highly dynamic bottling industry, the SCC team face inherent risks that are characteristic of high-volume production environments. The daily operations in such settings, involving complex machinery, constant motion of goods, and the need for precise coordination among employees, present diverse safety hazards. These range from potential machinery-related injuries to ergonomic issues due to repetitive tasks.
Yet, Swire Coca Cola doesn't view these challenges passively. ‘Safety-First’ isn’t just a motto for them - it’s a core value deeply embedded in their operational strategy. In line with this commitment, Swire Coca Cola has set a clear and measurable goal: to reduce their Total Injury Rate (TIR) by an impressive 50% by the year 2030. This target is part of a broader set of safety objectives, including achieving zero work-related fatalities and continually reducing the Lost Time Injury Rate (LTIR), reflecting their holistic approach to workplace safety. Such ambitious goals highlight the critical importance Swire Coca Cola places on safety, driving continuous improvement in their safety protocols and practices across all levels of the organization.
Proactive safety management with Intenseye’s AI-powered EHS management software
As an organization that adopts a people-first approach, Swire Coca-Cola Hong Kong sought innovative technologies to elevate their workplace safety culture to new heights. Embracing this vision, they adopted Intenseye’s AI-powered technology, marking a pioneering step in their quest to advance workplace safety.
By integrating with their existing CCTV systems, Intenseye’s safety incident management software provided the SCC safety team with an enhanced layer of real-time safety oversight. Intenseye’s AI-powered workplace safety management software can detect a wide range of unsafe conditions and practices, a capability that was particularly crucial for the dynamic and varied environments of Swire Coca-Cola's production workshops, warehouses, and high-traffic areas. In these settings, where traditional reactive safety methods may fall short, Intenseye platform has been instrumental.
Intenseye’s AI-powered safety management software enables the SCC safety team to see the unseen hazards and recognizes various safety aspects that need attention, including but not limited to:
• Climbing to heights without proper safety measures
• Interactions between vehicles and pedestrians
• Compliance with personal protective equipment (PPE) usage
• Running inside the facility
• Adherence to speed limits
• Ergonomic practices
• Maintaining clear pedestrian pathway
These real-time insights provided by Intenseye's safety management software served as leading safety indicators, equipping the SCC safety team with a proactive approach to identifying and mitigating safety risks before they could escalate into incidents or injuries.
Intenseye impact: reducing safety hazards by 60%
The integration of Intenseye’s AI-powered EHS management software into Swire Coca-Cola’s safety strategy in Hong Kong SAR has led to substantial and measurable improvements. In 2022 alone, the implementation of AI technology resulted in over 60% reduction in hazard detections.
hazard detection reduction after AI learning is completed
The significant decrease in incident counts highlights the effectiveness of the AI-powered safety incident management software in enhancing real-time identification and mitigation of safety incidents. The ability of Intenseye’s AI-powered workplace safety software to analyze and interpret complex safety data in real time has been pivotal in identifying potential risks swiftly in the SCC sites. This capability allows for immediate corrective actions, drastically reducing the likelihood of accidents and injuries.
Encouraged by these results achieved in Hong Kong SAR, Swire Coca-Cola is planning to extend the use of Intenseye’s AI technology into Taiwan and other markets. This expansion is in line with their overarching commitment to 'Zero Harm' across the company's value chain.
Furthermore, the proactive approach to safety management has had an enhancing effect on operational efficiency. The reduction in safety incidents naturally led to a decrease in associated costs. These savings are not limited to direct expenses like medical costs and compensation but also extend to reducing indirect costs such as operational downtime and potential legal fees. While financial savings were not the primary focus of the safety initiative, this aspect has nevertheless contributed to Swire Coca-Cola's broader operational goals. It demonstrates that prioritizing employee safety is not just ethically right but also economically beneficial, aligning perfectly with their goal of creating a safe, efficient, and sustainable working environment.

### Transforming safety at Amcor Rigid Plastics with Intenseye

URL: https://www.intenseye.com/case-studies/transforming-safety-at-amcor-rigid-plastics-with-intenseye

Chris, the Multi Site Director at Amcor Rigid Plastics, has seen a remarkable change in workplace safety since integrating Intenseye’s AI-powered EHS management software. Intenseye seamlessly merges into their existing systems to revolutionize their approach to safety management.

Leveraging safety AI in the containers & packaging industry

Before Intenseye, understanding and mitigating real-time safety risks was challenging. However, the installation of Intenseye proved otherwise. Chris recalls this as the easiest software/platform deployment of his career. The compatibility with Amcor's pre-existing camera infrastructure meant they could quickly start leveraging the benefits of real-time safety analysis and AI-powered analytics without extensive overhauls:
Empowering proactive safety risk management
One of the standout features for Chris is how Intenseye replaces assumptions with data-driven insights. Through constant risk analysis and assessment, it reveals discrepancies between perceived behaviors and actual employee actions when unobserved. Key features like detecting employees working at heights without fall protection and managing forklift-pedestrian interactions have been game changers.
The benefits are tangible and immediate. Enhanced reporting and analytics empower proactive risk management across multiple locations, a necessity given Chris’s oversight responsibilities as a Multi Site Director. The reliable data from Intenseye has allowed for targeted interventions and precise adjustments to safety protocols, ensuring compliance and reducing safety incidents significantly.
Tailored AI-powered EHS software solution
Moreover, Chris appreciates the partnership experienced with Intenseye’s team. From installation to customizations tailored to Amcor’s specific needs, the support has been consistent and exceptional - always responsive to ongoing queries or requests for customization.
With scalability at its core, Intenseye offers robust safety measures that give Chris confidence in expanding its application throughout various facilities within Amcor Rigid Plastics. This investment not only enhances operational efficiency but also fosters a pervasive culture of improved safety– a goal every EHS leader aspires to achieve.

## Guides & reports (gated — descriptions only)

### Air Cargo Industry Playbook

URL: https://www.intenseye.com/whitepapers/air-cargo-logistics-transportation-industry-playbook

Download Intenseye's logistics & air cargo safety playbook. Learn how AI reduces vehicle-pedestrian incidents and SIF risk in high-throughput environments.

(Gated guide/report — full document available via the form on the page.)

### Automotive Manufacturing Industry Playbook

URL: https://www.intenseye.com/whitepapers/automotive-industry-playbook

Download Intenseye's automotive safety playbook. See how AI reduces LOTO violations, ergonomic injuries, AGV hazards, and SIF risk in vehicle assembly.

(Gated guide/report — full document available via the form on the page.)

### Building Materials Industry Playbook

URL: https://www.intenseye.com/whitepapers/building-materials-industry-playbook

Download Intenseye's building materials safety playbook. See how AI-powered EHS reduces falls, machinery hazards, PPE non-compliance, and SIF risk.

(Gated guide/report — full document available via the form on the page.)

### Containers, Packaging & Paper Industry Playbook

URL: https://www.intenseye.com/whitepapers/containers-packaging-paper-industry-playbook

Download Intenseye's packaging & paper safety playbook. See how AI analytics reduce ergonomic injuries, vehicle hazards, and compliance gaps across facilities.

(Gated guide/report — full document available via the form on the page.)

### Food & Beverage Industry Playbook

URL: https://www.intenseye.com/whitepapers/food-beverage-industry-playbook

Download Intenseye's F&B safety playbook. Learn how AI computer vision helps food & beverage operations improve PPE compliance and prevent SIFs.

(Gated guide/report — full document available via the form on the page.)

### SIF Playbook: Mastering SIF Prevention Through Real-Time Safety Management

URL: https://www.intenseye.com/whitepapers/sif-playbook-real-time-safety-management

Mastering SIF prevention through real-time safety management — access the full report on preventing serious injuries and fatalities.

(Gated guide/report — full document available via the form on the page.)

### SIF Thought Leadership Report

URL: https://www.intenseye.com/whitepapers/sif-thought-leadership-report

Download Intenseye's SIF Thought Leadership Report. Expert insights on preventing serious injuries and fatalities with AI-powered safety analytics.

(Gated guide/report — full document available via the form on the page.)

### Verified Value Delivery

URL: https://www.intenseye.com/whitepapers/value-delivery-study

Verdantix independently measured the ROI of Intenseye: 129% ROI over three years, 11-month break-even, $1M NPV. See the methodology and download the full study.

(Gated guide/report — full document available via the form on the page.)

## Glossary

### EHS glossary

URL: https://www.intenseye.com/glossary

- **EHS**: Environmental, Health & Safety - the function Intenseye serves: protecting people, property, and the environment on the floor.
- **Agent**: A version of Chief built for a specific type of task. Think of it like choosing the right specialist for the job - each agent is configured for a different kind of output.
- **SIF — Serious Injury or Fatality**: An incident resulting in severe harm or death. SIF prevention is the primary goal of Intenseye’s detection capabilities. The platform focuses on identifying pSIF events - the precursors - before they become SIF outcomes.
- **pSIF — Potential Serious Injury or Fatality**: A hazard or event involving non-routine work that has a realistic potential to result in a serious injury or death. pSIF events require immediate corrective action. They are distinct from general high-severity alerts in that they specifically involve non-routine conditions where injury likelihood is elevated.
- **pSIF Density**: The number of pSIF alerts per 1,000 eligible monitoring hours. Because facilities have different amounts of camera coverage, density normalises alert counts so you can compare sites fairly. A declining pSIF density means your safety interventions are reducing the likelihood of serious injuries - even as monitoring coverage grows.
- **pSIF Prediction**: An AI-generated forecast of where pSIF risk is likely to increase based on current alert trends. Used in the Insights section to help EHS managers act before risk levels rise, rather than reacting after they already have.
- **pSIF Program**: The structured set of use cases, workflows, and monitoring configurations in Intenseye dedicated to preventing serious injuries and fatalities. The pSIF Program dashboard shows pSIF alert trends, scenario breakdowns, facility rankings, and consequence severity.
- **Process Safety**: The category of alerts relating to non-routine work hazards - such as working at heights, crane operations, or machine guarding failures. Process safety alerts are tracked as pSIF events. Distinct from compliance alerts, which cover routine PPE and behavioural rules.
- **Non-Routine Work**: Tasks performed outside standard operating procedures - maintenance, repairs, inspections, or any deviation from normal workflow. Non-routine work carries a disproportionately high share of serious injury risk and is a specific focus of Intenseye’s pSIF and Hard Stop detection.
- **Unsafe act**: A behavior that deviates from safe procedure - bypassing a guard, skipping PPE, entering a restricted zone.
- **Unsafe condition**: A hazard present in the environment - a spill, an unguarded machine, a blocked exit.
- **Hazard**: A source with the potential to cause harm.
- **Risk**: The combination of how likely a hazard is to cause harm and how severe that harm would be.
- **Precursor**: An early signal - an unsafe act or condition - that reliably precedes serious incidents.
- **Near-miss**: An unplanned event that did not result in injury or damage but easily could have. Near-misses are leading signals - catching them is a chance to fix a hazard before it causes harm.
- **PVI (Pedestrian-Vehicle Interaction)**: A moment where a worker on foot and a moving vehicle - forklift, truck, AGV - come close enough to risk a struck-by incident. Intenseye detects PVI events to surface high-conflict zones before a collision happens.
- **Struck-by / caught-in**: Two of the most common serious-injury mechanisms: struck-by is contact by a moving object or vehicle; caught-in is being pinned, crushed, or drawn into machinery. Both are core targets for real-time detection.
- **MSD (Musculoskeletal Disorder)**: An injury to muscles, nerves, tendons, or joints caused by repetitive motion, awkward postures, or overexertion. MSDs develop over time and are the risk ergonomic scoring (REBA/RULA) is designed to catch early.
- **Best Practice**: A positive safety behaviour captured on camera and shared as a recognition record. Best practices are used to reinforce good behaviour - not to trigger corrective action.
- **PPE (Personal Protective Equipment)**: A group of AI scenarios that monitor whether workers are wearing the required protective gear - hard hats, vests, gloves, glasses - in the zones where it is mandatory.
- **RCA (Root-Cause Analysis)**: The EHS Suite section that captures the why behind an incident - five-whys, fishbone, or whichever method the template enables. Ties root causes back to question answers for audit-trail integrity.
- **LOTO**: Lockout/Tagout - procedures that isolate energy sources before maintenance so machines cannot start unexpectedly.
- **Computer vision**: AI that interprets video to detect people, objects, and behaviors in real time.
- **Edge AI**: Running AI models on-site, on the floor, instead of in the cloud - for real-time speed and data privacy.
- **False positive**: A detection flagged as a risk that turned out not to be one.
- **False negative**: A real risk the system failed to flag.
- **Anonymization**: Face blurring, timestamp removal, and 3D anonymization that protect worker identity while preserving safety context.
- **Privacy by design**: Building privacy safeguards in from the start - edge processing and no facial recognition.
- **Work-as-done**: How work actually happens on the floor, versus work-as-imagined in the written procedure.
- **Heatmap**: A visual overlay that shows where hazards or unsafe behaviours are concentrated across a site or camera view. Heatmaps help identify problem areas that might not be obvious from individual alerts.
- **Detection library**: The catalog of safety, operations, and quality use cases Intenseye can detect out of the box.
- **Use Case**: A specific safety scenario the system is configured to detect - such as hard hat compliance, restricted zone violations, vehicle proximity, or ergonomic risk. Each use case corresponds to a trained detection model running on your cameras.
- **Chief**: Intenseye’s AI safety assistant. Use it to ask questions about your safety data, generate reports, draft communications, or build presentations in plain language.
- **Actions**: The workflow that assigns, owns, and tracks corrective actions until they are closed.
- **Hard Stop**: An emergency safety intervention triggered when the system detects a pSIF-level event during non-routine work. Hard Stop can halt equipment or processes automatically to prevent a serious injury or fatality.
- **EHS Suite**: The inspections and audits module that digitizes checklists and walkthroughs.
- **Insights**: SIF trends and analytics that show whether risk is going down across sites.
- **Visual Analytics**: Explore footage with AI - pathways, dwell, congestion, and cycle-time.
- **Dwell**: How long people, vehicles, or assets stay in a given area. High dwell time flags bottlenecks, queuing, or workers lingering in a hazard zone longer than the task should require.
- **Congestion**: Crowding of people or vehicles in a shared space at the same time. Congestion signals both a safety risk (more interaction points) and an operational drag (flow slows down).
- **Corrective action**: A tracked task created to fix a detected risk, with an owner and a due date.
- **Ergonomics**: Continuous ergonomic risk scoring of working bodies using REBA and RULA.
- **Ergo AI**: Intenseye’s ergonomics detection capability. It uses REBA and RULA assessments to evaluate workers’ body mechanics from camera footage and flag elevated musculoskeletal risk before injuries develop.
- **Sentinel**: Intenseye’s hardware device line. Sentinels power the computer vision capabilities on-site and come in variants for different environments and monitoring needs - including standard cameras, thermal, and solar-powered units.
- **Sentinel Core**: A motorized dome safety camera in the Sentinel suite.
- **Sentinel Hub**: Industrial edge AI compute that processes every camera on-site, in real time.
- **Sentinel Thermal**: A camera that detects temperature and electrical hazards, plus cold-chain excursions.
- **Sentinel Depth**: A depth camera for reach-in and struck-by hazards near machinery.
- **Safety Score**: A 0-100 score measuring how well safety protocols are being followed for a specific scenario at a specific facility. Scores below 50 appear in red; scores above 95 appear in green. The account-wide safety score is the weighted average across all facilities and scenarios.
- **Safety Compliance**: A 0-100 score measuring how well safety protocols are being followed across your plants. Calculated as the percentage of monitored time your workforce operated within safety rules, based on compliance use cases (PPE, behavior, vehicle, housekeeping).
- **Safe Hours**: The total hours during which operations were in full compliance across all monitored scenarios and facilities. The inverse of Risk Hours - use the ratio of safe to risk hours to understand what proportion of working time is spent in compliant conditions.
- **Risk Hours**: The total hours during which non-compliance was detected across all monitored scenarios and facilities. Lower is better. Risk hours rising over time is a signal that unsafe conditions are becoming more frequent or prolonged.
- **Zero-pSIF Sites**: Facilities that recorded no pSIF alerts in the selected period. A zero-pSIF site is a benchmark - it shows what compliant, well-controlled non-routine work looks like, so high-performing practices can be replicated elsewhere.
- **TRIR**: Total Recordable Incident Rate - recordable incidents per 200,000 hours worked.
- **TIR — Total Incident Rate**: A standardised measure of how frequently workplace incidents occur, calculated per hours worked. Used to benchmark safety performance across sites or against industry averages. A lagging indicator.
- **LTIR**: Lost Time Incident Rate - the rate of injuries serious enough to cause missed work.
- **LTIFR**: Lost Time Injury Frequency Rate - lost-time injuries per million (or 200,000) hours worked. A lagging indicator used to benchmark injury frequency across sites and against industry averages.
- **LDR — Lost Day Rate**: The number of workdays lost due to workplace injuries over a given period. A lagging indicator used to track the severity of incidents across a site or organisation.
- **Leading Indicator**: A proactive metric that tracks risk before an incident occurs - such as hazard detection frequency, tasks created, or coaching sessions completed. Intenseye is built around leading indicators: catching problems before they become incidents.
- **Lagging Indicator**: A metric that measures outcomes after they happen - such as incident rates or days lost. Lagging indicators tell you what went wrong. See also: Leading Indicator.
- **REBA**: Rapid Entire Body Assessment - a standardized whole-body ergonomic risk score.
- **RULA**: Rapid Upper Limb Assessment - a standardized upper-body ergonomic risk score.
- **BBS**: Behavior-Based Safety - a program that observes and reinforces safe behaviors.
- **Dashboard**: A visual interface that brings safety data together in one place, so teams can track trends, alerts, and performance at a glance.
- **Integration**: The connection between two systems so they share data and work together - for example, linking detected events to an incident management or EHS platform.
- **Latency**: The delay between an event occurring and the system responding to it. Low latency is essential for real-time safety intervention.
- **Data Governance**: The policies and controls that define how data is collected, stored, accessed, and protected across an organization.
- **GDPR (General Data Protection Regulation)**: The European Union law governing how personal data is collected, processed, and protected.
- **Confined Space**: An enclosed or partially enclosed area not designed for continuous occupancy, where limited entry and exit or a hazardous atmosphere can put workers at serious risk.
- **Hierarchy of Controls**: A ranked framework for reducing risk, from most to least effective: elimination, substitution, engineering controls, administrative controls, and personal protective equipment.
- **JHA (Job Hazard Analysis)**: A step-by-step review of a task that identifies the hazard in each step and defines the controls needed to perform the work safely. Also called a Job Safety Analysis.
- **Line of Fire**: The path or zone where a worker could be struck, caught, or crushed by a moving object, released energy, or a falling load.
- **Permit to Work**: A formal authorization that controls high-risk activities, defining who can perform the work, under what conditions, and what precautions must be in place.
- **Risk Assessment**: The process of identifying hazards, evaluating the associated risks, and deciding on controls to reduce those risks to an acceptable level.
- **Safe System of Work**: A defined method for carrying out a task that removes or reduces the risk of injury, agreed and communicated before the work begins.
- **Slip, Trip, and Fall**: A leading category of workplace injury caused by loss of footing or balance, often linked to housekeeping, floor conditions, or working at height.
- **DART Rate**: Days Away, Restricted, or Transferred rate. A measure of incidents serious enough to keep a worker away from normal duties, per 100 full-time employees per year.
- **Frequency Rate**: The number of injuries over a period relative to hours worked, used to compare safety performance across sites or time periods.
- **LTI (Lost Time Injury)**: A work-related injury that results in a worker being unable to perform normal duties for at least one full shift or day.
- **Recordable Incident**: A work-related injury or illness that meets the regulator's threshold for recording, for example one requiring medical treatment beyond first aid.
- **Safety Observation**: A recorded note of a safe or unsafe behavior or condition, used to build a picture of risk and reinforce safe practice.
- **Severity Rate**: A measure of how serious incidents are, typically expressed as days lost relative to hours worked.
- **CAPA (Corrective and Preventive Action)**: A process for addressing the cause of a problem, then stopping it from happening again or spreading elsewhere.
- **Duty of Care**: The legal and moral obligation of an employer to take reasonable steps to protect the health and safety of workers and others affected by its operations.
- **OSHA (Occupational Safety and Health Administration)**: The U.S. federal agency that sets and enforces workplace safety and health standards.
- **Safety Audit**: A systematic review of safety practices, records, and conditions against a defined standard, used to verify compliance and find gaps.
- **Safety Culture**: The shared values, attitudes, and behaviors that shape how safety is prioritized across an organization, from the front line to leadership.
- **SMS (Safety Management System)**: The structured set of policies, processes, and responsibilities an organization uses to manage safety and drive continuous improvement.
- **Toolbox Talk**: A short, focused safety briefing delivered to a work crew, usually before a shift or task, to reinforce the hazards and controls at hand.
- **Alert**: A notification generated when a system detects a defined condition, such as a worker entering a restricted zone or missing required equipment.
- **Annotation**: The process of labeling images or video so a machine learning model can learn to recognize objects, behaviors, or conditions. Also called labeling.
- **AI (Artificial Intelligence)**: Computer systems that perform tasks normally requiring human intelligence, such as recognizing patterns, interpreting images, or making predictions.
- **Confidence Score**: A value a model assigns to a detection, expressing how certain it is that the result is correct. Thresholds on this score help balance sensitivity and accuracy.
- **CNN (Convolutional Neural Network)**: A type of neural network designed to process visual data, widely used in computer vision to recognize objects and patterns in images.
- **Deep Learning**: A branch of machine learning that uses layered neural networks to learn complex patterns directly from large amounts of data, including images and video.
- **Detection Rule**: A configured condition that defines what a computer vision system should watch for, such as a specific unsafe behavior, missing equipment, or access to a hazardous area. Often called a use case.
- **Edge Computing**: Processing data on or near the device where it is captured rather than sending it to a central server, which reduces delay and supports real-time response.
- **Inference**: The stage where a trained model is applied to new data to produce a result, such as identifying a hazard in a live video frame.
- **ML (Machine Learning)**: A method of building systems that improve at a task by learning from data, rather than following rules written by hand for every case.
- **Model**: The trained system that takes an input, such as a video frame, and produces an output, such as a detection or a classification.
- **Neural Network**: A machine learning structure loosely modeled on the brain, made of connected layers that learn to map inputs to outputs.
- **Object Detection**: A computer vision task that locates and identifies specific objects within an image or video, such as forklifts, pedestrians, or protective equipment.
- **Pose Estimation**: A computer vision technique that identifies the position of a person's body and joints, used to recognize postures and movements linked to risk.
- **Precision and Recall**: Two measures of model performance. Precision is the share of detections that are correct. Recall is the share of real events the system catches.
- **Real-Time Detection**: The ability to identify and respond to a condition as it happens, rather than reviewing footage after the fact.
- **Training Data**: The labeled examples used to teach a machine learning model. The quality and variety of this data shape how well the model performs in the real world.
- **Continuous Improvement (Kaizen)**: An ongoing effort to improve processes through many small, incremental changes, often driven by the people who do the work. Kaizen is the Japanese term for this practice.
- **Control Chart**: A graph that plots a process measurement over time against calculated limits, used to tell normal variation apart from a change that needs investigation.
- **Defect**: A product or output that fails to meet its specification or requirement. Also called a nonconformance. Tracking defects shows teams where a process breaks down.
- **FMEA (Failure Mode and Effects Analysis)**: A structured method for identifying how a process or product could fail, how serious each failure would be, and where prevention effort should go first.
- **FPY (First Pass Yield)**: The share of units that move through a process correctly the first time, without rework or scrap. Higher yield points to a healthier process.
- **Poka-Yoke**: A design or device that prevents an error from happening or makes it obvious right away. The Japanese term translates roughly as mistake-proofing.
- **Process Capability (Cpk)**: A statistical measure of how well a process fits within its specification limits. A higher value indicates a process that produces fewer defects.
- **QMS (Quality Management System)**: The documented set of processes, roles, and standards an organization uses to consistently meet quality requirements.
- **Six Sigma**: A data-driven approach to reducing defects and variation, aiming for process performance where errors are rare and predictable.
- **SPC (Statistical Process Control)**: The use of statistical methods, often control charts, to monitor a process and act before variation turns into defects.
- **TQM (Total Quality Management)**: A management approach that builds quality into every function and level of an organization, with a focus on the customer and continuous improvement.
- **5S**: A workplace organization method with five steps - sort, set in order, shine, standardize, and sustain - used to create a clean and efficient environment. Strong 5S also removes many everyday hazards.
- **Bottleneck**: The step in a process that limits overall output, where work backs up because capacity there is lower than elsewhere.
- **Cycle Time**: The time it takes to complete one unit of work from start to finish at a given step or process.
- **Downtime**: Any period when equipment or a line is not running, whether planned for maintenance or unplanned due to a fault. Unplanned downtime is a leading driver of lost output.
- **JIT (Just-in-Time)**: A production approach that supplies materials and parts exactly when they are needed, reducing inventory and exposing waste in the process.
- **KPI (Key Performance Indicator)**: A measurable value that shows how well a team or process is performing against a defined target.
- **Lean Manufacturing**: An operating philosophy focused on removing waste and anything that adds cost without adding value for the customer.
- **MTBF (Mean Time Between Failures)**: The average operating time between one equipment failure and the next, used to gauge reliability.
- **MTTR (Mean Time to Repair)**: The average time needed to restore equipment to working order after a failure, used to gauge maintainability.
- **OEE (Overall Equipment Effectiveness)**: A composite measure of manufacturing productivity that combines availability, performance, and quality into a single percentage.
- **Predictive Maintenance**: Maintenance triggered by the actual condition of equipment, using sensors and data to service a machine before it fails.
- **Preventive Maintenance**: Maintenance performed on a fixed schedule to reduce the chance of failure, regardless of the machine's current condition.
- **SOP (Standard Operating Procedure)**: A documented, step-by-step instruction for carrying out a routine task the same way every time.
- **Takt Time**: The pace of production needed to meet customer demand, calculated as available working time divided by required output.
- **Throughput**: The amount of product or work a process completes in a given period.

## FAQ

### Frequently asked questions

URL: https://www.intenseye.com/resources/faq

**Q: How does Intenseye work?**
A: Intenseye is an AI-powered EHS management software. Our platform integrates with the existing CCTV cameras in the facilities and works with real-time streaming. The facilities are analyzed 24/7, and Intenseye notifies the EHS teams about the unsafe acts and conditions in their facilities, enabling them to take required precautions to eliminate the safety risks and hazards.

**Q: What is the state of privacy with Intenseye?**
A: Our AI-powered workplace safety software collects and manages a wide range of data on your company’s occupational health and safety and environmental impact. Analyzing the collected data provides you with insights to take preventative measures to reduce the number of incidents experienced in your facility to zero.
Collection of such data is quite time and effort-consuming; yet, Intenseye analyzes the facilities 24/7 and does this job for you.

**Q: Which industries do you provide service with?**
A: Intenseye’s EHS management software works with industries where there is a high risk of injury that are currently including mining, textile & apparel, food & beverage, warehouses, retail, electricity, oil & gas, automotive parts, motor vehicles, chemicals & related products, freight & logistics, industrial machinery, tires & rubber, plastic packaging and container, and wires & cables.
We are expanding our market and continue to provide assistance to more and more industries every passing day.

**Q: What types of workplace safety hazards can you prevent with your software?**
A: We provide a variety of EHS scenarios on our EHS management software for you to ensure worker safety in your facilities and reduce the injuries experienced to zero.
These use cases can be set up, as a rule, to send notifications to the EHS teams in the cases of slips, trips & falls, spill & leakage, working at heights, electrical hazards, worker machine interaction, ergonomics manual lifting, human-machine interaction, chemical handling, being hit by a falling object, being hit by a moving object, being trapped between stationary and moving objects, and vehicle collision.

**Q: What kinds of EHS scenarios can be set up as a rule on your platform?**
A: Within our safety management software, a variety of Core AI features can be activated to detect unsafe acts and conditions in your workplace.
The PPE detection model can be used to ensure a safe working environment by detecting the use of Helmet, Glove, Apron, Sleeve, Respiratory Protective Equipment, Reflective Vest, and Glasses.
The Area Controls model can be used to ensure working areas in your facility are always safe with various EHS scenarios such as establishing worker minimum and maximums, preventing workers from entering restricted areas, and minimizing occupational exposures through time limits.
The Housekeeping model can be used to reduce the risks of slips, trips, falls and collisions by ensuring that vehicle paths and pedestrian walkways in your facility are always clear and safe.
The Vehicle Controls model can be used to manage your workplace traffic safety by ensuring the safe operation of vehicles at your workplace.
The Behavioral Safety model can be used to avoid the line of fire injuries such as pedestrians in vehicle paths, nonuse of handrails, and violations of working at heights.
The Pandemic Control Measures model can be used to prevent contagious diseases by ensuring social distancing as well as proper mask use.
The Emergency Alerts can be used to get immediate notifications in situations such as when a worker falls on the ground or there is a fire-related emergency.
What’s more, with Ergonomics AI, our system detects risky actions for the body and prompts the managers to take the situation under control before any hazardous conditions arise. A variety of use cases can be set up as a rule under our ergonomics software to detect unsafe body movements, which are Trunk Position, Trunk Twisted Position, Trunk Side Bending Position, Lower Arm Position, Upper Arm Position, Neck Position, Neck Bending Position, and Arm Working Position.

**Q: How can we activate EHS scenarios?**
A: EHS scenarios can be set up as a rule by selecting the area where the rule will be applied through the cameras. For the setup of each scenario, it is necessary to add no more than three to four parameters, which takes less than a minute. For example, when creating a Social Distancing rule, it is necessary to select the area, the desired distance between the personnel, and the duration for how long they can stand at that distance to trigger an alert in case.
Besides, as long as there are no changes in camera angles or the rule area, it is enough to configure rules just once.

**Q: Can new EHS scenarios be added to the platform?**
A: We are working on the development of new scenarios in parallel with the dangers and risks the industries are trying to find solutions for and requests from the users. All scenarios are open to all users, and as new scenarios are added, all of our users can benefit from these scenarios.

**Q: How does the system send an alert when an unsafe situation is observed?**
A: When there is an unsafe act or condition, an image and a 12-second video of that moment are displayed on the platform. It is sent as a real-time notification in the form of SMS or email to the EHS specialists.

**Q: Apart from the EHS rules, what other features are offered by the platform?  **
A: Our EHS Platform also offers other useful services to keep workplace safety under control.
Alerts show the charts about all the alerts triggered in your facility according to their severity levels, categories, types, from which cameras they are sent, and in which work shift they are sent.
Safety Compliance software shows the compliance scores of the alerts you receive according to the types of alerts, cameras, and work shifts.
Visual Analytics shows visual representations of the area where a specific alert has occurred.
Task Management enables the management of the tasks that help reduce the number of alerts and increase the compliance score.
KPI Tracking enables to setting and tracking of the key performance indicators.
AI Accuracy shows the graphs indicating how accurate the alerts you are receiving are.
Connectivity shows the charts about camera connections in your facility.

**Q: How is the Compliance score calculated?**
A: Intenseye records not only unsafe acts and conditions ****but also ****compliant behaviors. Compatibility scores are obtained by dividing the number of safe acts and conditions by the number of total detected (unsafe + safe acts and conditions) behaviors. Our safety compliance software’s goal is to is to raise this compliance score and to minimize alerts received as much as possible.
For example, suppose that a total of 100 workers are detected in an area where the Helmet rule is set up, and helmets are not used in 20 of these 100 detections while helmets are used in 80 detections. In such a case, the compliance score for the Helmet rule is calculated as 80% in the form of 80 /(80+20).

**Q: How can we raise compliance score?**
A: We evaluate unsafe behaviors experienced in their facilities and guide customers in 1-to-1 monthly meetings in order to raise compliance scores. In these meetings, we share what measures our other customers have taken in similar situations and how they have decreased the number of unsafe conditions. In addition, we raise the awareness of EHS managers and customer success managers about the issue. We are discussing the scores in monthly meetings and informing customers about the ways to prevent unsafe acts and conditions.

**Q: How can we increase EHS awareness by involving technology?**
A: The data provided through our AI-powered workplace safety software can be transmitted to workers by means of tools such as reports and heatmaps. You can get a daily report or heatmap via the platform and transfer these to the personnel in the field. It has been observed that when workers are included in this process, more unsafe acts and conditions can be prevented.

**Q: Can we follow the corrective/preventive actions taken at our facilities?**
A: Yes, notifications sent are simultaneously reflected in the analytical data. You can access these daily, weekly, or monthly data and follow the direct impact of the corrective/preventive actions on unsafe acts and conditions via the safety management software

**Q: How possible is it for the system to make an error and keep the manager busy in vain?**
A: Our goal is to achieve an accuracy rate of 95%. We are able to reach this rate through our work with the facilities. That is, out of 100 notifications that are sent, 95 of them are right, and only 5 of them are likely to be false.

**Q: How can we share unsafe act/condition notifications with our colleagues?**
A: You can notify others about unsafe acts & conditions via SMS or email. In the rule setup of each use case, you can set SMS and email notifications for the people who are logged in to the platform. For example, when you select “Send email or SMS to contact X” on the setup of the Restricted Height rule, all notifications for this rule will be sent to contact X.
Under the Reports page on the platform, you can also create automatic camera-based or facility-based emails and share a summary report with alert counts and heatmaps to the contacts you select on a daily, weekly, or monthly basis.

**Q: Are there any operator costs charged for the SMS service offered by Intenseye?**
A: No, it is a service offered free of charge.

**Q: What is the state of privacy with intenseye?**
A: Privacy is a top priority at intenseye. Our software does not capture any personally identifiable information from the visual data that we process.
While screenshots and short videos are taken for the detection of unsafe acts and conditions, people are recorded and stored as analytical data after their faces are completely blurred. If there is no non-compliance, these images are instantly deleted.

**Q: What are some of your compliance certifications for data privacy?**
A: We are compliant with the EU Seal of Excellence, Penetration Test, AI Ethics Lab, and GDPR.

**Q: How secure is it to monitor workers 24 / 7 for their personal privacy?**
A: On our platform, people’s faces are completely blurred. It is not possible to tell who they are when viewing an image or watching a video. Any biometric data related to the employees are not retained, either. Our main purpose is to analyze how often unsafe acts or conditions happen, and to focus more on the ways to prevent them. Images or videos accessed through the platform can also be viewed as blurred. We exist to scale worker safety and protect their privacy.

**Q: Can any workers who engage in unsafe acts and conditions be identified upon request?**
A: No, they cannot be identified. We don’t intend to create a reward/punishment system for the workers. Rather, it is intended to reveal areas requiring improvement in the facility. We focus on what issues need to be developed in the facility.

**Q: Can the face blurring feature be removed from the platform?**
A: The face blurring feature cannot be removed. We do not provide any data to identify a person through the platform, nor do we keep this data on our side.

**Q: Although the installation is done on existing cameras in facilities, is it necessary to get additional consent from the workers?**
A: It is not necessary to get any additional consent as any personal data is not stored. However, we recommend you inform your personnel about the installation of Intenseye’s AI workplace safety software on the existing cameras in your facility. This can encourage them to pay more attention, and in this way, reduce the risk to zero.

**Q: How and for how long does Intenseye retain any collected data?**
A: We do not store all the images on cloud servers. This will require a huge cost and space. We store the image, 12-second video, and analytic data of an act or condition in case of any noncompliance. As a contract, we create a retention period of 720 days. We can increase this period or reduce it depending on the company’s demand.

**Q: Is the data retained in your or the company's server?**
A: It is recorded on the cloud. We process the video image and record the image as well as a 12-second video of this moment if there is a situation that affects job security.

**Q: Is Intenseye GDPR-compliant?**
A: Intenseye demonstrates a clear commitment to GDPR compliance through various measures. The platform adopts privacy by design and default principles, adheres to global privacy standards including GDPR, and implements comprehensive data protection techniques such as pseudonymization, anonymization, encryption, and de-identification. Furthermore, Intenseye emphasizes a privacy-first approach, balancing safety insights with meticulous protection of individual information.
The platform's data processing principles align with GDPR requirements, focusing on lawful basis, purpose limitation, data minimization, accuracy, storage limitations, and integrity/confidentiality. Enhanced data security measures, including robust encryption, personalized data segregation, proactive security measures, continuous security training, and data resilience, further ensure GDPR compliance by safeguarding data integrity and preventing unauthorized access or breaches.

**Q: How to be OSHA-compliant**
A: To be OSHA-compliant, a company must adhere to Occupational Safety and Health Administration regulations, ensuring a safe and healthy work environment for employees. This involves conducting regular hazard assessments, providing necessary training, maintaining proper record keeping, and implementing safety protocols.
Intenseye's AI-powered safety management software aids EHS (Environmental Health and Safety) teams in achieving OSHA compliance by automating safety inspections, detecting potential hazards through computer vision technology, facilitating incident reporting, and tracking corrective actions. It enhances proactive safety measures by identifying risks in real-time, streamlining compliance processes, and promoting a culture of safety within the organization.

**Q: What are Intenseye's deployment options?**
A: Intenseye offers Cloud and On-premise deployment options to its customers.

**Q: Which camera brands are compatible with Intenseye?**
A: Our product is compatible with 90% of the IP cameras. Our software works with almost any camera that supports h.264 video encoding and RTSP streaming protocol, which is almost all of them currently available on the market.

**Q: How can I integrate our software into Intenseye?**
A: We have various endpoints for you to integrate your software or hardware into our notification system. You can check out our API documentation here!

**Q: How do smart devices help?**
A: With the launch of smart devices, computer vision can be brought to life. When unsafe acts and conditions are detected, visual alarms and audible alerts can get triggered in real-time. For example, if a forklift is operating beyond the speed limit, an automated voice warning can be announced from the smart speakers.

**Q: How can smart devices be integrated?**
A: Intenseye can connect with various smart devices and provide API notification integration to trigger systems in your organization automatically.

**Q: Can your software analyze all the areas that cameras are recording?**
A: AI models can only detect the things that can be seen by the naked eye. For example, if we zoom in on an earplug from the camera, we can’t still see it with our eyes. Therefore, it is not possible for us to model it, but we can develop our models for the parts that are visible.

**Q: Can the number of cameras be increased or decreased while the system is working?**
A: Yes, the number of cameras can be increased or decreased as desired.

**Q: How can we identify disconnected cameras and how to fix them?**
A: Intenseye's AI automatically detect disconnected cameras. When a camera disconnection is detected, our Customer Support team informs the customers within a business day about the disconnected cameras with detailed error information to make the local IT team’s troubleshooting process easier.

**Q: How often do you get together with the EHS teams of the facilities?**
A: After the completion of camera integrations, our Customer Success managers contact the EHS units of the companies and plan the onboarding training. Firstly, a three-hour training is given about Intenseye, the platform features, and the rule setup on the platform. In the following week, a follow-up meeting is held, and we check if all the rule setups have been completed. Following that, monthly meetings are held with the facility, and they are informed about the evaluation of the data on the platform and the latest Intenseye product/feature releases.

**Q: How can we get support when we have a problem on the platform or want to learn how to use a feature?**
A: If you need live support, you can contact our Customer Support team from the live integrated chat on the platform. You can also access detailed descriptions of all the features on the platform through Intenseye Help Center documents. There are training videos that tell more about the platform, as well.

**Q: In which languages do you provide support?**
A: We provide live support services in English and Turkish. But, if you do not speak these languages and seek Help Center guidance in your native language, there are also French, German, Indonesian, Italian, Japanese, Portuguese, Romanian, Spanish, and Vietnamese versions of the Help Center articles translated by localization specialists of these languages in addition to English and Turkish versions.

**Q: What is accident prevention?**
A: Accident prevention is the practice of implementing strategies and measures to reduce workplace incidents. This can include implementing safety protocols, providing training and education to employees, using safety equipment, maintaining equipment and facilities, and fostering a culture of safety within an organization.
Intenseye’s EHS management software automatically alerts you to detect unsafe acts & conditions, works both as an EHS inspection software and EHS audit software, allowing safety heroes to prevent accidents seamlessly.

**Q: What is the first step of an accident prevention program?**
A: The first step of an accident prevention program is conducting a thorough hazard assessment. This step involves identifying potential hazards and risks in the workplace or environment that could lead to accidents or injuries. Once these hazards are identified, measures can be put in place to mitigate or eliminate them, thereby preventing accidents from occurring.
Intenseye’s safety incident management software detects hazards automatically with its 50+ safety rules, supporting you to gain 24/7 visibility to create a robust accident prevention program.

**Q: How artificial intelligence covers area control safety risks**
A: Artificial intelligence can analyze real-time data to cover area control safety risks. Continuously analyzing the decided area, AI can detect unsafe acts & conditions from expected trends within a specific area.
By employing Intenseye's AI workplace safety software you can limit the number of employees in an area, identify the cases of working under suspended load, set exclusion zones, and set other limitations to prevent safety incidents.

**Q: How does ergonomics software improve workplace posture and ergonomics?**
A: Intenseye ergonomics software utilizes computer vision technology to assess workers' body mechanics in real-time, focusing on behaviors, positions (i.e. arm working position), and other risk factors for improving workplace posture and ergonomics.
By employing RULA & REBA assessment analytics, our ergonomics software identifies potential ergonomic risks and provides actionable insights to improve workplace posture and ergonomics.

**Q: What is an asbestos management plan? **
A: An asbestos management plan is a detailed document that outlines procedures for safely handling asbestos-containing materials (ACMs) within a building or facility.
The primary goal of an asbestos management plan is to minimize the risk of asbestos exposure and ensure compliance with regulations to safeguard the health and safety of occupants and workers.
For digitizing and centralizing documentation related to ACMs, including surveys, risk assessments, and control measures, safety management software like Intenseye can make a real difference, ensuring easy access to critical information for relevant personnel.
Overall, safety management software like Intenseye can significantly enhance the efficiency, accuracy, and compliance of an asbestos management plan, ultimately contributing to the safety and well-being of frontline teams.

**Q: How can you ensure optimal baghouse maintenance?**
A: Optimal baghouse maintenance involves regular inspections , cleaning, and replacement of filter bags to ensure efficient operation and minimize emissions.
This includes scheduling routine inspections to identify potential issues such as leaks or damaged bags, conducting thorough cleanings to remove accumulated dust and debris, and replacing worn-out or damaged filter bags promptly.
Intenseye mitigates particulate risks by leveraging safety management software to detect missing masks in workplaces . By continuously analyzing video feeds, Intenseye can ensure compliance with safety protocols and reduce the spread of airborne contaminants.

**Q: What are the 7 steps in the behavior-based safety process?**
A: The 7 steps in the behavior-based safety (BBS) process include:
1. Observation : Analyze unsafe behaviors.
2. Identification : Recognize the root causes of unsafe behaviors or conditions.
3. Data Collection : Gather data.
4. Analysis : Analyze data for patterns and trends.
5. Feedback : Provide feedback on observed behaviors.
6. Training : Offer targeted training to address issues.
7. Continuous Improvement : Implement changes and track progress.
Intenseye utilizes computer vision to enhance behavior-based safety (BBS) processes by continuously analyzing work environments and identifying unsafe behaviors in real-time. As a complete safety management software, it detects BBS cases. Some BBS examples are climbing in restricted areas, contact with hazardous equipment, grouping, pedestrian way violation, exceeding height restrictions, and failure to use handrails on stairs.
By providing proactive alerts and insights to workers and supervisors, EHS management software helps prevent safety incidents, reduce injuries, and improve overall safety performance in the workplace.

**Q: How can AI help address benzene hazards?**
A: AI-powered safety incident management software effectively handles benzene hazards by leveraging AI for risk assessment, ensuring workers' safety. Intenseye utilizes computer vision to promptly detect spills and leaks, enabling immediate response to contain incidents.
The AI workplace safety software also ensures PPE compliance , such as the mandatory use of gloves when handling benzene hazards.
Intenseye acts as an EHS incident reporting software and its automated reporting generates detailed incident reports, facilitating swift response and cleanup. Furthermore, data analytics enable the software to identify trends and recommend proactive measures for continuous improvement in safety standards, making it an invaluable tool for mitigating risks associated with hazardous chemicals like benzene.

**Q: What type of hazard is a blocked exit?**
A: A blocked exit poses serious safety hazards in workplaces. It impedes the safe evacuation of occupants during emergencies such as fires, earthquakes, or other crises, potentially leading to injury, loss of life, or property damage. As an EHS inspection software, Intenseye can prevent blocked exits by implementing regular inspections and maintenance protocols.
Intenseye’s housekeeping safety 24/7 analyzes exit routes, including corridors, stairwells, and doorways, so any obstructions or hazards can be promptly identified and addressed. Additionally, clear guidelines and training for occupants on keeping pathways clear of clutter or obstacles further contribute to maintaining accessible exits in case of emergencies. This proactive approach to housekeeping ensures that escape routes remain unobstructed, enabling swift and safe evacuations when needed.

**Q: What is the difference between corrective action and preventive action?**
A: The difference between corrective action and preventive action is that corrective action addresses existing safety hazards in the workplace, while preventive action aims to prevent risks from occurring in the future . They address different aspects of the management system:
1. Corrective Action :
◦ Corrective action is taken in response to an existing problem, incident, or nonconformity that has already occurred.
◦ It aims to eliminate the root cause or causes of an identified issue to prevent its recurrence.
◦ Corrective actions are reactive measures that address the immediate problem and seek to rectify it.
◦ Examples include conducting investigations into safety incidents, implementing solutions to prevent recurrence, and addressing noncompliance with regulations or standards.
2. Preventive Action :
◦ Preventive action is taken to anticipate and mitigate potential safety risks, incidents, or nonconformities.
◦ It involves identifying and addressing underlying causes or weaknesses in processes or systems before they result in negative consequences.
◦ Preventive actions are proactive measures aimed at reducing or eliminating the likelihood of problems occurring.
◦ Examples include conducting risk assessments, implementing safety training programs, and instituting regular maintenance schedules.
In summary, corrective action deals with addressing existing issues, while preventive action focuses on identifying and mitigating potential future problems before they occur. Both are crucial for maintaining a robust EHS management system and continuously improving performance.
Intenseye utilizes AI-powered analytics to identify safety hazards in the workplace promptly, enabling corrective actions to be taken swiftly, while also providing insights to proactively implement preventive measures, thus fostering a workplace safety culture of continuous improvement and risk mitigation.

**Q: What should organizations do for chemical handling safety?**
A: For chemical handling safety, organizations should prioritize rigorous housekeeping practices to mitigate safety hazards in the workplace. This involves maintaining cleanliness to prevent accidents and contamination.
Intenseye's safety management software plays a crucial role in chemical handling by overseeing sanitation via AI, which alerts to cleanliness lapses, ensuring a hygienic workspace and reducing the risk of safety incidents. Furthermore, Intenseye's technology also aids in PPE detection, such as the use of gloves during chemical handling, thereby enhancing worker safety.
By proactively identifying and addressing potential safety hazards like climbing shortcuts, Intenseye contributes to effective safety incident management, fostering a safer work environment overall.

**Q: What is a chemical hygiene plan?**
A: A Chemical Hygiene Plan (CHP) is a written program designed to ensure the chemical handling safety , use, and disposal of hazardous chemicals in workplaces.
It outlines procedures, practices, and protocols to minimize the risk of chemical exposure to lab personnel while working with hazardous substances. Intenseye can assist in enforcing and implementing key elements of a CHP by providing real-time analysis of potential chemical hazards. Intenseye can help to prevent safety incidents and ensure compliance with safety protocols outlined in the CHP.
Intenseye's inspection module, within its broader Environmental Health and Safety (EHS) inspection software, provides a comprehensive solution for streamlining and enhancing safety inspections in various workplace environments. By digitizing inspections, Intenseye enables organizations to conduct efficient and thorough inspections so that EHS teams can focus on their core tasks.

**Q: How can you prevent climbing injuries with AI?**
A: Implementing AI to prevent climbing injuries in workplaces involves a multi-faceted approach leveraging machine learning algorithms and sensor technology.
Firstly, AI can analyze historical data on climbing incidents to identify patterns and risk factors, allowing for the development of predictive models to anticipate potential accidents.
Secondly, real-time analysis using AI can identify climbers' movements and detect deviations from safe practices, providing immediate feedback and notifying both workers and supervisors.
Implementing AI to prevent climbing injuries in workplaces involves a multi-faceted approach leveraging machine learning algorithms and sensor technology. Firstly, AI can analyze historical data on climbing incidents to identify patterns and risk factors, allowing for the development of predictive models to anticipate potential accidents. Secondly, real-time analysis using AI can identify climbers' movements and detect deviations from safe practices, providing immediate feedback and notifying both workers and supervisors.
I ntenseye’s safety management software easily spots a worker climbing onto shelves and prevents safety incident.

**Q: What are the top 3 ways to avoid OSHA compliance fines?**
A: To avoid OSHA compliance fines, firstly, conduct regular safety audits and inspections to identify and address potential hazards promptly.
Secondly, ensure comprehensive employee training programs are in place to educate workers on safety procedures and protocols.
Lastly, maintain accurate records of safety documentation, including training records, incident reports, and safety meetings, to demonstrate compliance with OSHA regulations during inspections and audits.
Intenseye's EHS inspection software aids in conducting thorough safety inspections by offering real-time analysis and customizable checklists aligned with OSHA regulations. This ensures prompt identification and mitigation of hazards, reducing the likelihood of OSHA fines. Additionally, Intenseye's health and safety audit software simplifies compliance management by centralizing documentation and tracking of corrective actions, facilitating timely resolution of safety issues.

**Q: How often must employers audit their electrical safety programs?**
A: Organizations should conduct regular audits of their electrical safety programs at least annually, as recommended by OSHA (Occupational Safety and Health Administration). These audits ensure compliance with regulations, identify potential hazards, assess the effectiveness of safety measures, and provide opportunities for improvement. By conducting yearly audits, employers can maintain a safe working environment and mitigate the risk of electrical accidents or injuries.
Intenseye offers health and safety audit software that can be instrumental in evaluating and enhancing electrical safety programs. This software provides a comprehensive platform for conducting audits, managing safety protocols, and tracking compliance with regulations. It allows EHS teams to streamline the audit process by digitizing documentation, scheduling inspections, and generating detailed reports.

**Q: What are the top 3 tips for electrical safety in the workplace?**
A: Here are three top electrical safety tips for the workplace:
1. Regular Inspections and Maintenance: Ensure that all electrical equipment and wiring are regularly inspected and maintained by qualified personnel to prevent potential safety hazards like frayed wires, overloaded circuits, or damaged equipment.
2. Training and Awareness: Provide comprehensive training to employees on electrical safety protocols, including proper handling of equipment, recognizing warning signs of electrical hazards, and emergency procedures.
3. Use of Personal Protective Equipment (PPE): Encourage the use of appropriate PPE such as insulated gloves, goggles, and footwear when working with electricity to minimize the risk of electrical shocks or burns.
Intenseye’s AI-powered safety management software can assist in these efforts by automating routine inspections, identifying potential safety risks through predictive analytics, and providing real-time alerts to supervisors and employees about potential hazards.
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**Q: What are the safety precautions for corrosion?**
A: Safety precautions for corrosion involve several key measures to mitigate its effects. Firstly, regular inspection and maintenance of equipment and infrastructure susceptible to corrosion are essential to identify and address any signs of degradation early on.
Additionally, employing corrosion-resistant materials and coatings can help prevent corrosion from occurring or spreading. Proper ventilation and drainage systems should be in place to reduce the likelihood of corrosion due to moisture accumulation.
Furthermore, implementing corrosion monitoring and control measures, such as cathodic protection or chemical inhibitors, can help mitigate corrosion risks. Training personnel on corrosion awareness and safe handling practices is also crucial to ensure proper maintenance and response procedures are followed.
Intenseye, as an EHS inspection software, can significantly help in these safety precautions for corrosion. By deploying Intenseye's technology, organizations can conduct inspections of critical infrastructure and equipment without exposing personnel to potentially hazardous environments.
Real-time analyzing capabilities allow for early detection of corrosion-related issues, enabling proactive maintenance and intervention.

**Q: How can you build a crane safety culture?**
A: Building a crane safety culture involves comprehensive crane safety training, clear communication, and consistent enforcement of safety protocols. It begins with a thorough education on crane operation and maintenance for all personnel involved, emphasizing the importance of adhering to safety standards.
Regular safety meetings should be held to discuss potential hazards, share best practices, and address any concerns. Encouraging a reporting culture where employees feel comfortable raising safety issues without fear of reprisal is essential. Additionally, conducting regular inspections, implementing safety incentives, and providing ongoing reinforcement through rewards and recognition can further solidify a culture of crane safety within an organization.
By integrating Intenseye's safety management software with crane analyzing systems, supervisors can receive alerts for potential safety violations or hazardous situations, allowing for taking corrective actions. Moreover, Intenseye's AI-powered platform can analyze crane operations to identify patterns of risky behavior or areas for improvement, enabling targeted training programs and safety interventions.

**Q: What are 5 tips for electrical safety hazards?**
A: 1. Regular Inspections : Regularly inspect electrical equipment and wiring for damage, wear, or signs of overheating to prevent potential hazards.
2. Proper Training : Ensure that employees are properly trained in electrical safety procedures, including how to use equipment correctly and how to respond to emergencies.
3. Use of Personal Protective Equipment (PPE) : Provide and encourage the use of appropriate PPE such as insulated gloves, goggles, and non-conductive footwear when working with electricity.
4. Keep Workspaces Clear : Maintain clear and unobstructed pathways around electrical panels, outlets, and equipment to prevent accidents and allow for easy access during emergencies.
5. Follow Codes and Standards : Adhere to electrical codes and standards set forth by regulatory agencies to ensure compliance and minimize the risk of electrical hazards in the workplace.
Intenseye employs a multifaceted approach to mitigate electrical safety hazards in workplaces. Through its cutting-edge safety inspection software, Intenseye facilitates regular and comprehensive inspections of electrical equipment and wiring, ensuring early detection of potential hazards.
Additionally, its AI-powered PPE detection technology analyzes workplaces in real-time, verifying proper usage of protective gear such as insulated gloves and goggles. By integrating these solutions, Intenseye enhances safety protocols, fosters compliance with regulations, and proactively prevents electrical accidents, safeguarding the well-being of workers in industrial environments.

**Q: How does an emergency action plan benefit your workplace?**
A: An emergency action plan (EAP) is crucial for any workplace as it outlines procedures to follow during crises like fires, natural disasters, or medical emergencies. By establishing clear protocols for evacuation, communication, and emergency response, an EAP ensures the safety and well-being of employees, visitors, and assets.
Additionally, regular drills and training sessions as part of the plan enhance preparedness and minimize panic in real emergencies, ultimately fostering a secure and resilient work environment.
Firstly, Intenseye's AI-powered workplace safety software can detect emergencies as they unfold, such as fires, accidents, or hazardous incidents, triggering immediate alerts to relevant personnel for swift action.
Secondly, Intenseye's ability to analyze unsafe acts & conditions within a facility helps in evacuation procedures during emergencies, ensuring timely and orderly evacuation routes are followed.
Additionally, Intenseye can provide valuable situational awareness by offering live video feeds and data analytics to emergency responders, enabling them to assess the situation accurately and make informed decisions on the deployment of resources and personnel.
Moreover, Intenseye's historical data and analytics capabilities allow for post-incident analysis, facilitating the refinement of emergency response plans for future preparedness.

**Q: What is ergonomic software?**
A: Ergonomic software encompasses tools and applications designed to optimize user comfort and reduce the risk of workplace injuries by assessing and addressing ergonomic risks.
Intenseye ergonomics software, for instance, leverages computer vision technology to continuously evaluate body mechanics using industry-standard assessments like RULA and REBA. By analyzing behaviors, positions, and other risk factors, this software helps users identify and mitigate potential hazards, promoting healthier and more sustainable work practices.

**Q: What is safety management software?**
A: Safety management software is a digital solution designed to streamline and enhance various aspects of safety management within an organization.
It typically includes features such as incident reporting, risk assessment, compliance tracking, safety training management, audit management, and emergency response planning. This software centralizes safety-related data and processes, facilitating efficient communication, tracking, and analysis of safety performance metrics.
By providing real-time visibility into safety activities and enabling proactive risk mitigation, safety management software helps organizations maintain regulatory compliance, minimize workplace accidents, and promote a culture of safety across all levels of the organization.

**Q: What are the benefits of ergonomic software?**
A: Ergonomic software offers numerous benefits for frontline workers. Firstly, it eases the burden on EHS (Environment, Health, and Safety) teams by providing automated assessments of body mechanics and risk factors, reducing the need for manual inspections and evaluations.
Additionally, it analyzes the ergonomics posture of the entire facility, identifying areas of concern and allowing for targeted interventions to improve workplace safety.
By promoting proper posture and behaviors, it reduces the likelihood of musculoskeletal injuries and associated absenteeism, leading to greater workforce productivity and morale.

**Q: How to choose the right ergonomic assessment tools?**
A: Choosing the right ergonomic assessment tools involves evaluating features like accuracy, integration compatibility, and user-friendliness while considering factors such as cost-effectiveness and scalability.
Look for solutions that leverage AI technology, such as Intenseye Ergonomics software, which incorporates RULA & REBA assessments for real-time posture analysis and risk identification.
Prioritize tools that offer intuitive interfaces, seamless integration, and reliable vendor support, ensuring they effectively meet the specific ergonomic needs of your organization while promoting a safer and healthier workplace.

**Q: How can you reduce the risk of injury from manual handling?**
A: First, proper training is crucial, teaching employees the correct lifting techniques and emphasizing the importance of using mechanical aids when available. Employers should also assess work environments regularly to identify potential hazards and implement ergonomic solutions such as adjustable workstations or lifting equipment.
Additionally, promoting a culture of safety and encouraging employees to speak up about any discomfort or concerns can help prevent injuries.By conducting ergonomic evaluations in real time, the software can identify and address potential hazards promptly. It promotes proper body alignment, crucial for preventing musculoskeletal disorders, by utilizing its Ergonomics AI, which employs RULA & REBA assessments to evaluate body mechanics, behaviors, positions, and other risk factors for workplace injuries.
This allows immediate action planning based on the assessment results, facilitating the implementation of corrective measures to mitigate risks.
Moreover, by tracking reductions in exposures over time, Intenseye's software enables continuous improvement in workplace ergonomics, fostering a safer and healthier work environment for employees.

**Q: How can you decrease downtime in manufacturing?**
A: Intenseye's safety management software plays a crucial role in reducing downtime by providing predictive analytics and safety risk detection capabilities that enable early detection of potential equipment failures or safety hazards. By leveraging AI-powered algorithms, Intenseye can identify patterns and trends in production processes, allowing for timely intervention to prevent unplanned downtime.
Additionally, the EHS software for manufacturing facilitates 24/7 analysis, enabling maintenance teams to address safety risks promptly.This proactive approach not only minimizes downtime but also enhances overall efficiency, worker safety, and cost-effectiveness in manufacturing operations.
Also, Intenseye's task management module contributes to reducing downtime in manufacturing by facilitating proactive analysis of maintenance needs and safety protocols. Through its integration with the safety management software, the module automatically generates tasks based on data analysis of potential safety hazards or equipment performance trends. By identifying and prioritizing maintenance activities in advance, Intenseye enables proactive intervention to address issues before they escalate into downtime-causing failures.
Additionally, the module streamlines task assignment and tracking processes, ensuring that maintenance tasks are promptly allocated to the appropriate personnel and completed within specified timelines. This efficient task management workflow minimizes the risk of equipment breakdowns and safety incidents, thereby enhancing overall operational uptime and productivity in manufacturing environments.

**Q: What are the top controls for fall protection?**
A: Typically, protection against falls can be ensured by employing guardrail systems, safety net systems, or personal fall arrest systems. These methods, collectively termed conventional fall protection by OSHA , serve as reliable safeguards against potential hazards at heights.
Intenseye's AI-powered workplace safety software's climbing safety rule leverages 24/7 detection and real-time analysis to prevent risks associated with working at heights. This constant analysis ensures corrective actions when unsafe behaviors or conditions are detected, enhancing overall workplace safety.

**Q: What are the most common injuries caused by falling objects?**
A: Falling object hazards pose a significant risk in various environments, including construction sites, warehouses, and even public spaces. These safety hazards can result in a range of injuries, from minor bruises to severe head trauma or even fatalities. When objects fall from heights, they gain momentum, increasing their impact force upon landing.
This force can cause lacerations, fractures, and internal injuries upon contact with individuals below. Additionally, falling objects may carry sharp edges or heavy components, exacerbating the severity of injuries upon impact. Injuries caused by falling objects are diverse, depending on factors such as the object's size, weight, and velocity.
Common injuries include head injuries such as concussions or traumatic brain injuries, spinal cord injuries leading to paralysis, fractures to limbs or other body parts, and soft tissue injuries like bruises or lacerations. The severity of these injuries underscores the importance of implementing preventative measures such as proper storage protocols, safety netting, and personal protective equipment to mitigate the risks associated with falling object hazards.
Intenseye can leverage lifting and crane safety rules to provide real-time notifications for safety risks involving suspended loads. By integrating advanced computer vision technology, Intenseye's AI-powered safety management software can analyze crane operations and detect any anomalies or potential hazards in real-time. This includes identifying instances where a load is improperly secured, swinging excessively, or exhibiting other signs of instability.
Through continuous analysis of crane activities, Intenseye can alert safety teams immediately upon detecting any safety risks involving suspended loads. These notifications can be sent via various channels such as mobile devices or desktop applications, enabling swift intervention to mitigate the identified hazards.

**Q: What is the best way to ensure forklift and pedestrian safety?**
A: The most effective approach to ensuring forklift and pedestrian safety is through AI-powered safety management software. By integrating advanced algorithms and real-time data analysis capabilities, this software can continuously analyze the movements of forklifts and pedestrians within the workplace.
Intenseye can detect forklift-pedestrian safety risks at workplaces by employing computer vision technology to continuously analyze the environment. By analyzing live video feeds from cameras installed across the facility, Intenseye can identify potential hazards such as forklifts operating in pedestrian-heavy areas or instances of pedestrians straying into designated forklift zones.
Through its sophisticated algorithms, Intenseye can detect unsafe conditions in real-time, such as near-misses or risky behavior patterns, and promptly notify the Environmental Health and Safety (EHS) teams. This enables swift intervention and corrective actions to be taken, minimizing the risk of accidents and ensuring the safety of both forklift operators and pedestrians in the workplace.

**Q: How to improve forklift pedestrian safety**
A: Improving forklift pedestrian safety involves a robust approach, and leveraging advanced technology like Intenseye's AI-powered safety management software can be a game-changer. Intenseye's innovative "dynamic delimitation" feature utilizes computer vision to detect interactions between forklifts and pedestrians within a specified proximity. This real-time data not only alerts EHS teams to potential near misses but also aids in the creation of comprehensive forklift/pedestrian maps, distinguishing risky areas from safe zones.
Intenseye goes beyond mere alerts by providing detailed insights through its heat map feature. This visual representation allows users to pinpoint areas of concern within their facilities, facilitating unbiased evaluation of current safety controls. Armed with this knowledge, site teams can continuously audit and enhance safety measures, ensuring a proactive approach to risk mitigation.
Moreover, Intenseye's ability to collect and trend a vast amount of data enables companies to gain a deeper understanding of their risk profile. By integrating with various communication channels like SMS, email, or smart speakers, Intenseye ensures that EHS teams are promptly notified of unsafe behaviors, fostering a culture of safety in the workplace.
Incorporating AI-powered safety management software like Intenseye into safety programs not only enhances forklift and pedestrian safety but also streamlines operations and minimizes risks.

**Q: What is a pedestrian safety zone?**
A: A pedestrian safety zone is an area within a facility designated to prioritize the safety of individuals on foot, typically separated from vehicle traffic or high-risk areas. It aims to reduce the risk of accidents involving pedestrians and vehicles by implementing specific safety measures and controls.
Intenseye’s AI-powered safety management software ensures pedestrian safety within facilities uniquely through its advanced AI-powered safety management software. By employing computer vision technology, Intenseye dynamically delimits pedestrian safety zones, identifying and analyzing interactions between pedestrians and vehicles in real-time. This innovative approach goes beyond static demarcations, allowing for adaptable safety measures that respond to dynamic environments and changing conditions.

**Q: How to conduct a health and safety root cause analysis**
A: Conducting a health and safety root cause analysis requires a systematic approach, and Intenseye offers a comprehensive solution to streamline this process. With its real-time notifications, Intenseye continuously identifies safety risks 24/7, ensuring timely intervention and prevention of incidents.
Intenseye's all-in-one platform combines safety compliance software, ergonomics software, task management modules, and EHS audit software. This integrated approach simplifies the workload for EHS teams, allowing them to focus on conducting thorough root cause analyses without being overwhelmed by disparate systems.
By centralizing all safety-related data and processes, Intenseye empowers EHS teams to identify underlying causes of safety incidents more efficiently. This holistic view enables organizations to implement targeted corrective actions, ultimately preventing future incidents and promoting a safer work environment.

**Q: What is a Good Total Recordable Incident Rate (TRIR)?**
A: Every organization, regardless of industry, aims for a low incident rate. However, defining what constitutes a "good" incident rate varies depending on the industry.
In 2020, the average OSHA incident rate for private industries stood at 2.7. Given the diverse risks and hazards across industries, it's challenging to establish a universal benchmark for a favorable incident rate.To provide insight into how your organization compares within its industry, we've gathered incident rate data from various sectors in 2020, sourced from the United States Bureau of Labor Statistics:
• Construction: 2.5
• Forestry and logging: 2.4
• Agriculture, forestry, fishing, and hunting: 4.6
• Mining, quarrying, and oil and gas extraction: 1.2
• Transportation and warehousing: 4
• Special trade contractors: 2.8
• Manufacturing: 3.1
• Utilities: 1.5
• Administrative and support and waste management and remediation services: 2
• Educational and health services: 5
• Wholesale trade: 2.4
These figures offer a reference point for evaluating your organization's performance relative to industry standards.

**Q: How to calculate Total Recordable Incident Rate (TRIR)**
A: Here's the TRIR calculation formula outlined by OSHA :
TRIR = (Number of Incidents x 200,000) / Total number of hours worked in a year.
‍ OSHA sets the benchmark at 200,000, representing the total hours 100 employees would work over 50 weeks based on a 40-hour work week. When calculating annual work hours, remember two key points:
1. Exclude vacation and leave hours (e.g., FMLA, military, bereavement, etc.) from the total work hours calculation. Only actual hours worked should be included.
2. If your company utilizes workers from a staffing or temporary agency, and your employees direct them in their day-to-day work activities, their hours must be included in the total hours worked.

**Q: Why should you use safety absolutes?**
A: Utilizing safety absolutes provides unequivocal guidelines for maintaining a safe work environment.
These absolutes serve as non-negotiable standards or rules that establish a baseline for safety practices, ensuring consistency and uniformity across all operations. By implementing safety absolutes, organizations prioritize the well-being of their employees and stakeholders, minimizing the risk of accidents , injuries, or fatalities.
Moreover, safety absolutes instill a strong safety culture within the organization, emphasizing the importance of adhering to established protocols and procedures. They help create a shared understanding of expectations regarding safety performance, fostering accountability and responsibility at all levels.

**Q: How to create a safety dashboard**
A: Creating a safety dashboard involves compiling key safety metrics and visualizing them in a user-friendly format to provide insights into safety performance. It typically includes leading indicators, safety targets, alerts, high-severity risks, compliance rates, safety audits, and reports.
Intenseye's safety management software already includes a comprehensive safety dashboard, offering all these features and more. With Intenseye, users can access real-time data on leading indicators, track progress toward safety targets, receive alerts for potential risks, and identify high-severity safety issues.
Additionally, Intenseye provides insights into compliance rates, conducts safety audits, and generates detailed reports to support informed decision-making and continuous improvement efforts. With its all-in-one platform, Intenseye streamlines safety management processes, empowering organizations to proactively enhance safety performance and create safer workplaces.

**Q: What is the best way to build a safety KPI dashboard?**
A: Constructing an effective safety KPI dashboard involves several key steps. First, identify the most relevant safety metrics and KPIs for your organization , ensuring they align with your safety goals and objectives. Next, gather reliable data sources to track these metrics, including incident reports, near-miss data, safety inspections, and training records.
Once you have the data, design the dashboard layout to present the information clearly and concisely. Use visualizations such as charts, graphs, and tables to highlight trends, patterns, and performance against targets. Ensure that the dashboard is user-friendly and easily accessible to relevant stakeholders.
Regularly review and update the dashboard to reflect changes in safety performance and priorities. Solicit user feedback to continuously improve the dashboard's effectiveness in driving safety improvements.
‍ Intenseye's AI-powered safety management software offers a comprehensive solution for building a safety KPI dashboard . With its customizable dashboard features, real-time data analytics, and automated reporting capabilities, Intenseye enables organizations to effectively track and manage safety KPIs, driving continuous improvement in safety performance.

**Q: How to prevent slips trips and falls in the workplace**
A: To prevent slips, trips, and falls in the workplace, it's crucial to maintain clear walkways, and well-lit areas, and utilize non-slip mats in potentially hazardous zones. Additionally, prompt cleanup of spills and providing employees with appropriate footwear are essential. Regular safety inspections should be conducted to identify and address any potential hazards before accidents occur. Implementing regular toolbox talks, where safety procedures are discussed and reinforced among employees, can also significantly contribute to accident prevention.
Intenseye's AI-powered safety management software offers a proactive approach to preventing slips, trips, and falls. By providing real-time analysis, the software can detect hazards as they arise, such as spills or obstacles, and immediately alert staff.
Moreover, through analyzing patterns and past incidents, Intenseye identifies high-risk areas and suggests preventive measures, enabling businesses to take proactive steps to mitigate risks. This software also facilitates compliance tracking, training support, and continuous improvement efforts, ensuring a safer work environment for employees and reducing the likelihood of accidents.

**Q: What is the importance of using snook tables in the workplace?**
A: Snook tables play a vital role in the workplace by providing employees with ergonomic workstations that are adjustable to their individual needs. They help prevent musculoskeletal disorders by promoting proper posture, reducing strain on the body, and increasing comfort during tasks that require prolonged sitting or standing.
This not only enhances employee well-being but also boosts productivity and reduces the likelihood of work-related injuries.

**Q: How to detect forklift speed limit**
A: Detecting forklift speed limits in the workplace can be achieved through various methods such as using speed limit signs or markings, installing speed monitoring devices or GPS trackers on forklifts, implementing training programs to educate operators on safe speeds, and conducting regular inspections to ensure compliance. These measures are crucial for preventing accidents and ensuring the safety of both operators and other workers in the vicinity of forklift operations.
Intenseye's AI-powered safety management software offers a sophisticated solution to enhance forklift safety . With its real-time monitoring capabilities, the software can track forklift movement and promptly detect instances of speeding. By sending alerts to supervisors or operators when speed limits are exceeded, Intenseye enables immediate intervention to prevent accidents.

**Q: How AI can improve PPE safety?**
A: AI safety software modernizes PPE detection, saving time and boosting compliance. Despite the prevalence of manual detection, AI-driven solutions are critical in preventing workplace injuries. OSHA highlights that correct PPE usage can prevent 38% of work-related injuries , underlining its importance.
Here's how AI-driven safety software transforms safety management: Enhanced Compliance ensures adherence to safety standards by automatically detecting PPE non-compliance. Real-time Analysis provides immediate insights for corrective actions. Data-driven Insights identify trends to enhance safety.
Cost Savings result from reduced claims and downtime. Automated Documentation streamlines reporting for compliance. Moreover, seamless Integration with existing systems enhances efficiency.

**Q: Which one is best: Reactive or proactive safety management?**
A: Proactive safety management stands out as the preferred approach due to its emphasis on preventing incidents before they occur. By focusing on identifying and addressing potential hazards in advance, organizations can avoid the consequences associated with reactive responses.
This proactive stance fosters a safety-conscious culture within the company, where every employee is encouraged to participate in identifying risks and implementing preventive measures. Moreover, proactive safety management not only saves costs but also enhances the organization's reputation by demonstrating a genuine commitment to worker well-being and community safety.
Intenseye harnesses the power of AI to bolster proactive safety management strategies. Through real-time analysis, predictive analytics, and behavioral analysis, Intenseye's workplace safety software enables organizations to identify and mitigate safety risks promptly. By automatically generating alerts and notifications, Intenseye facilitates rapid response and intervention, further strengthening workplace safety.
In essence, Intenseye's AI-driven approach empowers organizations to stay ahead of potential hazards, safeguarding both employees and organizational assets while minimizing liabilities and reputational risks.

**Q: What’s the best way of working at heights?**
A: When working at heights, safety is paramount. To ensure a secure environment, thorough risk assessments should be conducted beforehand to identify potential hazards like unstable surfaces or adverse weather conditions. Workers must receive comprehensive training on safety equipment usage and emergency protocols.
Regular equipment inspections are vital for detecting any issues that may compromise safety. Open communication among workers fosters awareness of hazards and encourages adherence to safety procedures.
Lastly, organizations should have robust emergency plans in place to respond promptly to any incidents. By prioritizing these measures, the risks associated with working at heights can be minimized, ensuring the well-being of workers.

**Q: How do you keep stairs safe?**
A: AI-powered safety management software, like Intenseye, can contribute to stair safety through various functionalities, including leak detection and housekeeping modules. Firstly, in terms of leak detection, Intenseye's Safety AI software can analyze video feeds in stairwells to identify leaks or spills promptly. By continuously analyzing the area in real-time, the software can detect any liquid accumulation on stairs, such as water, oil, or other substances, which could pose slipping hazards. Intenseye can automatically generate alerts to notify designated personnel upon detection, enabling immediate action to address the issue and prevent accidents.
Additionally, Intenseye's housekeeping module plays a crucial role in maintaining stair safety. Through AI-driven analysis of video footage, the software can identify instances of clutter, debris, or other obstacles obstructing staircases. Whether it's misplaced objects, loose materials, or inadequate lighting, Intenseye can flag such conditions for corrective action. By providing insights into the cleanliness and organization of stairwells, the housekeeping module helps ensure that stairs remain clear and safe for use.

**Q: Do you need 3 points of contact on a platform ladder?**
A: Maintaining three points of contact on a platform ladder is crucial for stability and preventing falls, which means always having two hands and one foot or two feet and one hand in contact with the ladder.
Leveraging Intenseye’s AI-powered EHS management software can significantly enhance adherence to the three points of contact rule. The software continuously analyzes frontline employees in real-time, identifying and flagging unsafe ladder practices. In one scenario, our Safety AI detected frequent violations of this rule, prompting one of our customers to implement targeted safety training and install additional signage. These measures resulted in a remarkable 92% reduction in unsafe behaviors , showcasing the software's effectiveness in promoting a safer working environment.

**Q: How to build a positive culture of safety**
A: Building a positive safety culture within an organization is crucial. And the best way is using an AI-powered safety management software for sure. Here’s how AI facilitate the development of such a culture:
1. Enhanced communication: Safety AI software provides a centralized platform for communicating safety policies, procedures, and expectations to all employees. With real-time unsafe act notifications, it ensures that important safety information reaches everyone in a timely manner, fostering a culture of transparency and accountability.
2. Employee engagement: Safety management software encourages employee involvement in safety initiatives by allowing them to report hazards, incidents, or near misses easily. Through mobile apps or web interfaces, employees can actively participate in safety committees, hazard identification programs, and safety improvement projects, fostering a sense of ownership and empowerment.
3. Training and Education: Safety management software streamlines the delivery of safety training and education. This ensures that employees receive the necessary knowledge and skills to perform their jobs safely, contributing to a culture of continuous learning and improvement.
4. Recognition and Rewards: Safety management software enables organizations to recognize and reward employees demonstrating exemplary safety behaviors or contributing to safety improvements. Tracking safety performance metrics and milestones facilitates the implementation of incentive programs or safety awards, motivating employees to prioritize safety in their daily activities.
5. Data-Driven Insights: Safety management software collects and analyzes data on safety performance, incidents, and trends, providing valuable insights for decision-making and improvement initiatives. Identifying areas of high-risk or recurring safety issues enables organizations to implement targeted interventions and preventive measures, strengthening the overall safety culture.
6. Leadership Visibility: Safety management software provides visibility into safety performance metrics and activities for organizational leaders and supervisors. With customizable dashboards and real-time reporting capabilities, leaders can analyze safety performance, track progress towards safety goals, and demonstrate their commitment to safety, setting a positive example for the entire organization.
By leveraging the benefits of safety management software, organizations can build a positive culture of safety where employees are actively engaged, informed, and empowered to prioritize safety in all aspects of their work.

**Q: How to use AI for workplace safety**
A: AI is transforming workplace safety by enabling proactive measures, real-time safety analysis, and automated compliance check. Here's how AI can be effectively used to enhance safety standards:
Comprehensive EHS management: Intenseye's AI is an one-stop for EHS management, enabling teams to handle tasks, incidents, inspections, and audits through a single platform. This integrated approach simplifies workflows, enhances communication, and promotes a unified safety cultur.
‍ Improved operational efficiency: EHS professionals can eliminate redundancies and manual data entry with the EHS Suite's automated processes. By centralizing EHS tasks, incident management, and inspections, Intenseye optimizes time and resource allocation, allowing them to focus on strategic initiatives rather than administrative tasks.
‍ Data-driven decision making: Harnessing the real-time analytical capabilities of AI, Intenseye's safety management software provides actionable insights into safety performance, identifies trends, and helps predict potential future hazards, fostering a proactive approach to workplace safety.
‍ Cost savings and ROI: Intenseye's AI-powered EHS management software significantly reduces costs by automating/digitizing safety processes, accelerating response times to incidents, and decreasing the severity and frequency of costly incidents. This efficiency minimizes compliance penalties and allows resources to be reallocated to strategic initiatives, enhancing productivity and delivering a robust return on investment.

**Q: How to prevent workplace violence**
A: Preventing workplace violence demands a proactive and sophisticated approach, and AI-powered EHS management software delivers just that. These systems transform safety management into a seamless, integrated platform, allowing teams to manage tasks, incidents, inspections, and audits all in one place.
This streamlines workflows, enhances comunication, and fosters a unified safety culture. By continuously analyzing unsafe acts & conditions, Intenseye’s AI-powered safety management software can detect early warning signs of potential violence, enabling timely interventions and ensuring a safer work environment.
Automated processes enhance operational efficiency by eliminating redundancies and manual data entry, allowing professionals to focus on strategic initiatives rather than administrative tasks. With real-time analytical capabilities, Intenseye provides actionable insights into safety performance, identifies trends, and predicts potential hazards.

**Q: What are the 3 points of the safety pyramid?**
A: The safety pyramid, also known as Heinrich's Triangle, illustrates the relationship between near misses, minor incidents, and serious incidents within a workplace. The three points of the safety pyramid are:
1. Near Misses: Near misses are incidents that have the potential to cause harm or injury but do not result in any significant consequences. These events are often overlooked or underreported but serve as early warning signs of potential hazards or unsafe conditions in the workplace.
2. Minor Incidents: Minor incidents are accidents or injuries that result in minor harm or damage, such as bruises, cuts, or minor property damage. While these incidents may not have severe consequences, they provide opportunities for organizations to identify underlying safety issues and implement corrective measures to prevent more serious incidents from occurring.
3. Serious Incidents: Serious incidents are accidents or injuries that result in significant harm, loss, or damage, such as severe injuries, fatalities, or major property damage. These incidents have a profound impact on individuals, organizations, and communities and often result from underlying safety deficiencies that were not addressed following near misses or minor incidents.
The safety pyramid emphasizes the importance of identifying and addressing near misses and minor incidents as proactive measures to prevent serious incidents. By focusing on the underlying causes of these events and implementing effective risk mitigation strategies, organizations can create safer workplaces and reduce the likelihood of catastrophic accidents or injuries.

**Q: How AI can make PPE detection?**
A: AI enables PPE (Personal Protective Equipment) detection through computer vision technology. Trained on extensive datasets, A I algorithms recognize various PPE items such as helmets, safety vests, goggles, and gloves. This allows for real-time analysis of images or video footage, accurately identifying instances of PPE even in complex environments. Moreover, AI can classify the type of equipment detected, enhancing specificity.
Integrated into existing safety management software, AI-powered PPE detection ensures seamless tracking of safety compliance across different settings. With continuous analysis, AI provides real-time alerts for non-compliance, enabling immediate intervention to address safety violations and mitigate risks

**Q: How to automate REBA assessment with ergonomics software**
A: Automating REBA assessments with ergonomics software involves leveraging technology to streamline the evaluation process of body mechanics and identifying risk factors for workplace injuries.
Intenseye's AI-powered ergonomics software achieves this by employing computer vision algorithms to analyze employee movements and postures captured by cameras.
Through advanced image recognition techniques, the software automatically detects ergonomic risk factors, such as awkward postures or repetitive motions, and applies the REBA assessment methodology to quantify the level of risk associated with each observed behavior.
By automating the REBA assessment process, Intenseye's ergonomics software enables organizations to efficiently identify and mitigate ergonomic hazards, ultimately improving workplace safety and reducing the risk of musculoskeletal injuries.

**Q: What is the difference between RULA and REBA?**
A: RULA (Rapid Upper Limb Assessment) and REBA (Rapid Entire Body Assessment) are both ergonomic assessment tools used to evaluate the risk of musculoskeletal disorders (MSDs) associated with workplace tasks. While they share similarities, there are key differences between the two:
1. Scope
◦ RULA focuses specifically on assessing upper limb musculoskeletal risks associated with tasks involving repetitive movements, force exertion, and awkward postures of the arms, shoulders, and neck.
◦ REBA, on the other hand, evaluates the entire body's posture and movements during a task, including the upper limbs, lower limbs, back, and neck.
2. Body Regions Assessed
◦ RULA primarily assesses the upper limbs, including the arms, shoulders, and neck.
◦ REBA assesses the entire body, including the upper limbs, lower limbs, back, and neck.
3. Assessment Methodology:
◦ RULA utilizes a systematic scoring system to evaluate the risk factors associated with various upper limb postures and movements. It assigns scores based on the angles and positions of the upper limbs and neck, as well as factors such as force exertion and duration of exposure.
◦ REBA employs a similar scoring system but extends the assessment to the entire body. It considers factors such as posture, force exertion, duration, and frequency of movements across different body regions.
4. Application
◦ RULA is commonly used for tasks that primarily involve repetitive upper limb movements, such as assembly line work or computer usage.
◦ REBA is suitable for assessing tasks that involve a broader range of body movements and postures, such as lifting, bending, or manual handling activities.In summary, while both RULA and REBA are ergonomic assessment tools used to evaluate the risk of MSDs, RULA focuses specifically on the upper limbs, while REBA assesses the entire body.

**Q: What are the 5 Types of EHS Regulations?**
A: Five of the most prevalent types of EHS (Environment, Health, and Safety) Regulations encompass:
Occupational Safety and Health Regulations :These regulations are designed to ensure the safety and health of employees in the workplace. They cover a wide range of issues, including the use of personal protective equipment (PPE), safe handling of hazardous substances, ergonomic practices, and emergency preparedness. Key examples include the Occupational Safety and Health Act (OSHA) in the United States and similar frameworks worldwide.
Environmental Protection Regulations :These regulations aim to protect the environment from the adverse effects of industrial and commercial activities. They cover areas such as air and water quality, waste management, and the control of pollutants and hazardous chemicals. Major laws include the Clean Air Act and the Clean Water Act in the United States, as well as international agreements like the Paris Agreement on climate change.
Product Safety Regulations :These regulations ensure that products manufactured, imported, and sold in the market are safe for consumers and do not pose any health risks. They encompass standards for various products, including electronics, toys, food, and pharmaceuticals. Regulatory bodies such as the Consumer Product Safety Commission (CPSC) in the United States and the European Union's CE marking system play crucial roles in enforcing these standards.
Transportation Safety Regulations :These regulations focus on the safety of transporting goods and people. They include standards for vehicle safety, the transport of hazardous materials, and the operation of commercial transportation services. Agencies like the Department of Transportation (DOT) in the United States and the International Maritime Organization (IMO) set and enforce these regulations to prevent accidents and ensure safe transit.
Fire Safety Regulations :These regulations are crucial for preventing fires in various settings, including residential, commercial, and industrial environments. They include requirements for fire prevention, fire detection and alarm systems, and fire suppression systems. Standards set by organizations such as the National Fire Protection Association (NFPA) in the United States and similar bodies globally are critical in minimizing fire-related risks and ensuring rapid response in the event of a fire.
Together, these regulations form a comprehensive framework that safeguards the environment, public health, and safety across various sectors. Compliance with these regulations is essential for businesses to operate legally and responsibly, fostering a safer and healthier world.
‍

## Events & webinars

### 2025 Innovation Conference

URL: https://www.intenseye.com/events/2025-innovation-conference

2025-04-02 to 2025-04-03 — Canton, Mississippi

Meet Intenseye’s team of safety AI specialists and explore how our technology can help you prevent incidents, reduce risks, and build a proactive safety culture at your organization.

You’ve stepped into the future of automotive manufacturing safety — now, take
the next step: Talk to an expert
Meet Intenseye’s team of safety AI specialists and explore how our technology
can help you prevent incidents, reduce risks, and build a proactive safety
culture at your organization.
What’s next: get a personalized demo tailored to automotive manufacturing, see
how real-time insights enhance safety management and learn how global leaders
use Intenseye to protect automotive workers.

### 2026 NSC Safety Congress & Expo

URL: https://www.intenseye.com/events/2026-nsc-safety-congress-expo

2026-09-14 to 2026-09-16 — Indianapolis, IN, USA

Stop by Booth 635 to see how Intenseye helps safety leaders proactively reduce risk, prevent incidents, and strengthen compliance using AI-powered safety analytics.

### Cloud N Clear podcast

URL: https://www.intenseye.com/events/ai-for-safety---how-intenseye-is-shaping-the-future-of-workplaces

2023-12-12 — Online

In this episode CloudNClear, Intenseye Head of Partnerships and Alliances Sean Snyder unravels the revolutionary role of AI in workplace safety. Tune in now to see how we’re transforming workplace safety management by leveraging the power of AI to save lives.

**AI for safety - How Intenseye is shaping the future of workplaces**
In this episode CloudNClear, Intenseye Head of Partnerships and Alliances Sean
Snyder unravels the revolutionary role of AI in workplace safety. Tune in now
to see how we’re transforming workplace safety management by leveraging the
power of AI to save lives.

### AIHA CONNECT 2026

URL: https://www.intenseye.com/events/aiha-connect-2026

2026-06-01 to 2026-06-03 — New Orleans, LA

Meet Intenseye at the leading conference for occupational and environmental health & safety professionals.

### ASSP Safety 2026 Conference & Expo

URL: https://www.intenseye.com/events/assp-safety-2026-conference-expo

2026-06-15 to 2026-06-17 — Anaheim, CA

Join us at Booth 4361 for a hands-on look at how Intenseye turns existing cameras into a 24/7 prevention network — and what that means for your safety program.

### Category Visionaries podcast

URL: https://www.intenseye.com/events/category-visionaries-podcast

2025-05-13 — Online

On this episode of Category Visionaries, they spoke with Sercan Esen, CEO and Co-Founder of Intenseye, about his journey from software engineer to category-creating founder.

In this episode of Category Visionaries, they spoke with [Sercan
Esen](https://www.linkedin.com/in/sercan-esen/), CEO and Co-Founder of
Intenseye, about his journey from software engineer to category-creating
founder, and Intenseye is addressing the staggering problem of workplace
fatalities – 2.4 million people losing their lives annually in industrial
accidents.

### EHS Georgia Safety Conference 2025

URL: https://www.intenseye.com/events/ehs-georgia-safety-conference-2025

2025-09-03 to 2025-09-05 — Marriott Savannah Riverfront, Savannah, GA

We’re excited to participate in Georgia’s largest gathering of safety, health, and environment professionals. Visit Intenseye’s booth #52 at the 2025 conference to explore how AI can transform workplace safety and compliance.

> **Sept 3rd - 5th, 2025
Marriott Savannah Riverfront, Savannah, GA
Booth 52**
Join Intenseye at the Georgia Safety, Health, and Environment Conference
We’re excited to participate in Georgia’s largest gathering of safety, health,
and environment professionals. Visit Intenseye’s booth #52 at the 2025
conference to explore how AI can transform workplace safety and compliance.
Connect with our safety AI experts to see how real-time insights empower
safer, smarter, and more proactive work environments.

### EHS Management Institute

URL: https://www.intenseye.com/events/ehs-management-institute

2024-01-28 — Ponte Vedra Beach, FL

Bringing EHS management professionals together to share best practices.

**2 days to enhance safety culture and increase accountability in EHS**
Bringing EHS management professionals together to share best practices.

### EHS On Tap podcast

URL: https://www.intenseye.com/events/ehs-on-tap-podcast

2024-07-23 — Online

On episode 213 of EHS On Tap, Gabrielle Connolly, Customer Success Manager at Intenseye, talks about how AI can help improve workplace safety.

**Using AI to improve workplace safety**
On episode 213 of EHS On Tap, Gabrielle Connolly, Customer Success Manager at
Intenseye, talks about how AI can help improve workplace safety.

### Floor Talk with Judy Shaw

URL: https://www.intenseye.com/events/floor-talk-with-judy-shaw

2025-04-30 — New York City, NY

From shop floors to boardrooms, the conversation around safety is changing. Watch Intenseye CEO, Sercan Esen’s, Floor Talk with NYSE about how we're helping safety teams by operationalizing real-time SIF notifications to save lives.

From shop floors to boardrooms, the conversation around safety is changing.
Watch Intenseye CEO, [**Sercan Esen**](https://www.linkedin.com/in/sercan-esen/)’s,
Floor Talk with NYSE about how we're helping safety teams by operationalizing
real-time SIF notifications to save lives.

### Harnessing Artificial Intelligence for Safer Workplaces and Sustainable Development

URL: https://www.intenseye.com/events/harnessing-artificial-intelligence-for-safer-workplaces-and-sustainable-development

2025-05-16 — Online

Harnessing Artificial Intelligence for Safer Workplaces and Sustainable Development.

### Harvard AI Forum

URL: https://www.intenseye.com/events/harvard-ai-forum

2025-02-21 — Cambridge, MA

Sercan Esen, will take the stage to share how we scaled Intenseye into a leading safety AI company and what it takes to build long-term success in the world of AI.

The Harvard AI Forum is just around the corner!
Our CEO, **Sercan Esen**, will take the stage to share how we scaled Intenseye
into a leading safety AI company and what it takes to build long-term success
in the world of AI.

### Intenseye presents Ergonomics AI

URL: https://www.intenseye.com/events/intenseye-presents-ergonomics-ai

2022-03-29 — Online

Join Gabrielle Connolly and David Lemon, EH&S Professionals and Customer Success Managers at intenseye to learn about the launch of the ergonomics module.

Generating quantitative data is often a struggle for EH&S professionals.
intenseye is bridging that gap to help make you a more effective EH&S leader.
Using existing facility cameras, intenseye identifies and analyzes over 50
unsafe behaviors and conditions happening in your facility. In the newest
launch, intenseye tackles ergonomics. Imagine a product that continuously
evaluates your ergonomic performance and provides you with quantifiable data
to track improvements. In this webinar we will explore: State of the art AI
technology applied to EH&S problems, quantitative ergonomic data generation
via computer vision and AI model, benefits of computer-generated data vs data
generated by people and how AI data fits into your method of operation.

### Jumpstarting the EHS Digital Transformation Journey

URL: https://www.intenseye.com/events/jumpstarting-the-ehs-digital-transformation-journey

2024-06-27 — Online

How to build a foundation for safety success across enterprise functions

From centralizing safety data, to detecting hazards in real-time, to reducing
TRIR, the benefits of digital transformation in environmental health & safety
(EHS) are undeniable. But, successfully starting (much less gleaning value
from) these projects is tough. Barely 30% of enterprise digital transformation
projects succeed; sadly, success rates for those led by EHS are even lower.

### MODEX 2026

URL: https://www.intenseye.com/events/modex-2026

2026-04-13 to 2026-04-16 — Atlanta, GA

Stop by our kiosk booth to see how Intenseye helps operations teams prevent incidents, improve compliance, and scale safety across warehouses and distribution centers.

### New York City: Security and Safety, Unlocking AI and Cloud

URL: https://www.intenseye.com/events/new-york-city-security-and-safety-unlocking-ai-and-cloud

2024-11-07 — New York City, NY

This event, where Intenseye’s CTO, Serhat Çillidağ, will take the stage as a speaker, is a fantastic opportunity to exchange ideas on tackling AI and security challenges with top innovators in NYC!

Join Intenseye CTO Serhat Çillidağ at C2C 2Gather!

### NSC Safety Congress & Expo 2025

URL: https://www.intenseye.com/events/nsc-safety-congress-expo-2025

2025-09-15 to 2025-09-17 — Colorado Convention Center, Denver, CO

Meet the world’s largest annual gathering of safety professionals and discover the power of AI in workplace safety. Stop by Booth 440 to connect with our experts, see live demos of our real‑time safety insights, and learn how Intenseye elevates safety management and compliance.

> September 15–17, 2025
Colorado Convention Center, Denver, CO
Find us at Booth 440
Join Intenseye at NSC Safety Congress & Expo
Meet the world’s largest annual gathering of safety professionals and discover
the power of AI in workplace safety. Stop by Booth 440 to connect with our
experts, see live demos of our real‑time safety insights, and learn how
Intenseye elevates safety management and compliance.
What's Next
**Step into the future of proactive safety:**
- Schedule a personalized demo tailored to your industry needs
- Discover how AI delivers real‑time insights to reduce incidents
- See how leaders are transforming EHS by protecting teams before hazards arise

### SafetyWorX

URL: https://www.intenseye.com/events/safetyworx

2024-03-07 — Amsterdam

Join us at this exclusive gathering of senior executives where we'll be showcasing how Intenseye's AI is empowering EHS leaders to modernize industrial safety. Catch up with Intenseye experts to learn more about how we are transforming the industrial safety landscape globally.

**Global Business Research (GBR)’s Industrial SafetyWorX event in Amsterdam**
Join us at this exclusive gathering of senior executives where we'll be
showcasing how Intenseye's AI is empowering EHS leaders to modernize
industrial safety. Catch up with Intenseye experts to learn more about how we
are transforming the industrial safety landscape globally.

### Saudi Manufacturing Show

URL: https://www.intenseye.com/events/saudi-manufacturing-show

2024-06-06 — Riyadh

join Intenseye at the 24th Saudi Manufacturing Show, exploring AI and 4IR tech with industry leaders in Riyadh.

**Saudi Manufacturing Show in Riyadh**
Join us at the 24th Edition of the Saudi Manufacturing Show where we will give
insights into the importance of adopting AI-powered EHS management software to
modernize industrial safety. This distinguished event in Riyadh is part of an
international series hosted in over 10 cities across several continents.
Featuring prominent industry leaders, this summit will delve into the
capabilities of AI, Web 3.0, IoT, quantum computing, cyber security, and other
pivotal Fourth Industrial Revolution (4IR) technologies. This exclusive summit
is tailored for technology leaders from leading enterprises, educational
institutions, and government sectors within Saudi Arabia's manufacturing
industry. Join the Saudi Manufacturing Show to engage with pioneering
technologies that are shaping the future of manufacturing.

### SCMA Safety Summit 2025

URL: https://www.intenseye.com/events/scma-safety-summit-2025

2025-03-11 to 2025-03-12 — Grenville, South Carolina

Meet Intenseye’s team of safety AI specialists and explore how our technology can help you prevent incidents, reduce risks, and build a proactive safety culture at your organization.

You’ve seen how AI is transforming workplace safety — now, take the next step:
Talk to an expert
Meet Intenseye’s team of safety AI specialists and explore how our technology
can help you prevent incidents, reduce risks, and build a proactive safety
culture at your organization.
What’s next: get a personalized demo tailored to your industry, see how
real-time AI insights enhance safety management and learn how global leaders
use Intenseye to protect manufacturing workers.

### Sentinel: The Age of Physical AI Begins

URL: https://www.intenseye.com/events/sentinel-webinar-on-demand

2025-11-10 — Online

Discover how Intenseye’s new Sentinel device lineup is redefining real-time workplace safety.

Join Intenseye’s Pilot Success Manager, Yasemin Alev and industry leaders for
a deep dive into **Sentinel**, our new family of **AI-powered safety
hardware** engineered to detect risk and prevent incidents in real time.
In this 60-minute on-demand session, you’ll learn how:
- **Physical AI** eliminates blind spots and accelerates response on the factory floor.
- **The Sentinel lineup —** featuring Core, Hub, and connected devices—enables proactive prevention.
- **Gain perspective from Verdantix**, a leading EHS and sustainability research firm, on how AI + hardware integration is redefining serious injury and fatality (SIF) prevention.
- **AI-driven visibility** helps safety and operations teams act in sub-seconds, not minutes.
Watch now and see how **Intenseye** is setting a new standard for real-time
safety intelligence.

### Smart Ergonomics: AI-driven insights for minimizing workplace injuries

URL: https://www.intenseye.com/events/smart-ergonomics-ai-driven-insights-for-minimizing-workplace-injuries

2024-03-13 — Online

Get ready for an insightful webinar featuring Vincent Cotto, MS, CPE, Intenseye’s Ergonomics expert.

Together with Wei (Jenny) Yu and Shelby Ackley from Benchmark Gensuite®, they
will dive into the dynamic world of ergonomics. Discover firsthand why
ergonomics is absolutely crucial for maintaining a safe and thriving work
environment, and learn about the real-world applications of AI and computer
vision in mitigating ergonomic risks in workplaces. Join us on March 13th,
between 10:30 AM - 11:30 AM ET.

### Stay Safe with AI: Abby Ferri Part 2

URL: https://www.intenseye.com/events/stay-safe-with-ai-abby-ferri-part-2

2025-08-04 — Online

Critical Controls, Real-Time Data, and the Human Side of AI-Driven Safety

In part two of this two-part series, Abby Ferri, Senior Leader at National
Safety Council Networks, returns to join Intenseye CEO Sercan Esen for a
deeper dive into cultural adoption, measuring ROI, and how the role of safety
professionals is evolving in an AI-driven world.

### Stay Safe with AI: Abby Ferri Part 1

URL: https://www.intenseye.com/events/stay-safe-with-ai-abby-ferri-part1

2025-07-29 — Online

Critical Controls, Real-Time Data, and the Human Side of AI-Driven Safety

In this episode, Abby Ferri, Senior Leader at National Safety Council
Networks, joins Intenseye CEO Sercan Esen for a deep dive into how AI is
reshaping safety practices. They explore the shift from broad compliance
checklists to targeted critical control verification, the power of continuous
visibility in detecting unsafe acts, and how safety teams can use existing
data more effectively to prevent serious incidents. This first part sets the
foundation for a continuing discussion in Part 2, covering cultural adoption,
ROI, and the evolving role of safety professionals in an AI-enabled world.

### Stay Safe with AI: Michael Toffel

URL: https://www.intenseye.com/events/stay-safe-with-ai

2025-06-03 — Online

In this debut episode of Stay Safe with AI, Intenseye CEO Sercan Esen welcomes Professor Michael Toffel to unpack the hidden gaps between safety on paper and safety in practice.

**Real-Time Safety Management: A New Era in SIF Prevention**
In this debut episode of Stay Safe with AI, Intenseye CEO Sercan Esen welcomes
Professor Michael Toffel to unpack the hidden gaps between safety on paper and
safety in practice. Through stories from the field and reflections on systems
change, they explore the disconnect between compliance-driven routines and the
real work of risk management—and how today’s leaders can bridge it.

### Tennessee Safety & Health Conference (TSHC)

URL: https://www.intenseye.com/events/tennessee-safety-health-conference-tshc

2025-04-06 to 2025-04-09 — Nashville, TN

Meet Intenseye’s team of experts and explore how our real-time SIF management platform can help you reduce SIF events and build a positive safety culture at your organization.

You’ve stepped into the future of workplace safety & health— now, take the
next step: Talk to an expert
Meet Intenseye’s team of experts and explore how our real-time SIF management
platform can help you reduce SIF events and build a positive safety culture at
your organization.
What’s next: get a personalized demo, see how real-time insights enhance SIF
management and learn how global leaders use Intenseye to protect workers.

### The Connected Worker Manufacturing Summit

URL: https://www.intenseye.com/events/the-connected-worker-manufacturing-summit

2025-10-14 to 2025-10-16 — Chicago, IL

Intenseye is excited to be part of the Connected Worker Manufacturing Summit, bringing together senior safety, health, and manufacturing leaders from across industries to explore innovation, collaboration, and results in workplace safety.

### Event: The Future of EHS 2024

URL: https://www.intenseye.com/events/the-future-of-ehs-2024

2024-02-20 — Louisville, KY

The Future of EHS is a 3 day program that brings together EHS professionals, business leaders, researchers and solutions providers for an open exchange of forward-looking ideas, the latest in safety innovations and best practices.

**Join us for education, conversation, networking, and inspiration.**
The Future of EHS is a 3 day program that brings together EHS professionals,
business leaders, researchers and solutions providers for an open exchange of
forward-looking ideas, the latest in safety innovations and best practices.

### The Journey of Intenseye at Columbia University

URL: https://www.intenseye.com/events/the-journey-of-intenseye

2024-04-09 — New York City, NY

Intenseye's CEO Sercan Esen took the stage as a guest speaker at Columbia University, captivating students with Intenseye's innovative journey and groundbreaking work in the field of artificial intelligence and machine learning.

**Intenseye CEO empowers future AI leaders at Columbia University**
Intenseye's CEO Sercan Esen took the stage as a guest speaker at Columbia
University, captivating students with Intenseye's innovative journey and
groundbreaking work in the field of artificial intelligence and machine
learning.

### Together for Safety: Coca-Cola Bottling Community x Intenseye Global Meetup

URL: https://www.intenseye.com/events/together-for-safety-coca-cola-bottling-community-x-intenseye-global-meetup

2025-07-23 — Online

Join us for an exclusive Environmental, Health and Safety virtual gathering of Coca-Cola bottlers around the globe to share insights, success stories, and a sneak peek at what’s coming next in workplace safety AI.

This session will spotlight speakers from three Coca-Cola bottling partners —
Coca-Cola HBC, Coca-Cola Swire, and Coca-Cola United — as they share their
experiences with Intenseye, from implementation to measurable impact. The
discussion will highlight real-world results, ROI, and how safety AI is
transforming their EHS programs.
Afterward, hear directly from **Sercan Esen**, CEO & Co-Founder of Intenseye,
as he reveals our latest developments in **SIF AI (Serious Injury & Fatality
prevention)** and what the future holds for our platform in Coca-Cola bottling
operations.
**Bonus:** All registered attendees will automatically be entered into a
giveaway! We’ll randomly select 2–3 registrants to receive surprise gifts
shipped directly to their location after the event.
Why you should attend
- Get inspired by real-world results from Coca-Cola bottlers using Intenseye
- Learn about scalable safety AI practices in Coca-Cola’s global context
- Get an exclusive preview of Intenseye’s upcoming innovations
- Connect with other safety and operations leaders in the Coca-Cola bottling world

### Together for Safety: EMD x Intenseye Global Meetup

URL: https://www.intenseye.com/events/together-for-safety-emd-x-intenseye-global-meetup

2025-11-12 — Online

Join us for an exclusive Environmental, Health, and Safety virtual gathering with safety leaders from across EMD Electronics to get a first look at what’s next in workplace safety AI.

November 12th, 9AM CT
You’ll learn how AI-driven safety solutions are helping companies like EMD
advance its EHS initiatives, reduce incidents, and drive ROI. Then, hear
directly from Sercan Esen, CEO & Co-Founder of Intenseye, as he unveils the
latest advancements in SIF AI (Serious Injury & Fatality prevention) and
offers a glimpse into what’s next for our platform.
Why You Should Attend
- Get inspired by real-world results from customer stories using Intenseye
- Learn about scalable safety AI practices across global operations
- Get an exclusive preview of Intenseye’s upcoming innovations
- Connect with other EHS and operations leaders.

### Together for Safety: PPG x Intenseye Global Meetup

URL: https://www.intenseye.com/events/together-for-safety-ppg-x-intenseye-global-meetup

2025-09-10 — Online

Join us for an exclusive Environmental, Health, and Safety virtual gathering with safety leaders from across PPG to get a first look at what’s next in workplace safety AI.

Sept 10th from 11am-12:15pm ET
You’ll learn how AI-driven safety solutions are helping companies like PPG
advance its EHS initiatives, reduce incidents, and drive ROI. Then, hear
directly from Sercan Esen, CEO & Co-Founder of Intenseye, as he unveils the
latest advancements in SIF AI (Serious Injury & Fatality prevention) and
offers a glimpse into what’s next for our platform.
Why You Should Attend
- Get inspired by real-world results from customer stories using Intenseye
- Learn about scalable safety AI practices across global operations
- Get an exclusive preview of Intenseye’s upcoming innovations
- Connect with other EHS and operations leaders.

### Women In Safety podcast

URL: https://www.intenseye.com/events/women-in-safety-podcast

2024-06-25 — Online

In this episode, Intenseye's customer success manager Gabrielle Connolly covers the importance of continuous learning and curiosity in adapting to new safety technologies and much more!

**Continuous learning with Gabrielle Connolly**
Our Customer Success Manager Gabrielle Connolly recently featured on the Women
in Safety podcast! Tune in now in this enlightening episode to dive deep into
the significance of continuous learning in adapting to new safety technologies
and the importance of leveraging data to enhance safety practices.