CLOCS Safety Forum – Enhancing Site Safety through Automated Computer Vision and Real-time Hazard Detection

As construction environments become increasingly complex, the challenge of maintaining 100% safety compliance across expansive sites often exceeds the capacity of manual oversight. When it comes to protecting vulnerable road users and the workforce from construction vehicles, separation is the default starting position but on busy construction sites, this is often easier said than done.

Join us to hear from Fastview360’s Nick Billington who will demonstrate how standard CCTV systems can be enhanced with AI to power existing health and safety protocols through automated spatial analysis and object recognition.

Nick will be providing a technical overview of how systems can utilise edge-processed computer vision to provide continuous monitoring of high-risk variables. Unlike traditional reactive surveillance, this technology identifies specific safety breaches in real-time, including:

• Dynamic Exclusion Zones: Real-time detection of pedestrian-plant proximity, triggering alerts when human activity intersects with heavy machinery operating envelopes.
• Behavioural Analytics: Identification of distracted behaviour, such as unauthorised mobile device usage.
• Logistical Compliance: Monitoring directional flow for site vehicles to prevent potential collisions and ensure adherence to established Site Traffic Management Plans (STMPs).
• PPE Compliance: Automated verification of mandatory safety gear (hard hats, high-visibility vests, etc.) at site ingress points and within designated zones.

By converting raw video data into an actionable safety monitoring system allows Site Managers to move from periodic spot-checks to a data-driven, preventative safety culture. The solution’s objective is to reduce the ‘safety gap’ caused by human oversight and provide a robust digital audit trail for compliance reporting.

We invite you to see how this exciting new AI CCTV technology can be deployed to harden a site’s safety posture.