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

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.