by Polly Baines |
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.
We were invited to demonstrates how a standard CCTV systems can be enhanced with our AI developments to power existing Health and Safety protocols through automated spatial analysis and object recognition.
As the guest speaker for this forum, Nick Billington, provided 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:
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.
CLOCS invited delegates you to see how this new AI CCTV technology can be deployed within their current infrastructure to harden your site’s safety posture.
Watch the presentation here: