How to strengthen security on a strategic industrial site subject to high co-activity? In this video, we head to Cayenne, to the Ribal Travaux Publics asphalt plant, to discover a field experiment conducted by COLAS with CAD.42.
The objective of this experiment is to anticipate risks, act faster and sustainably change the safety culture through AI.
You’ll find here:
- Safety challenges at an asphalt production site in a sensitive environment
- Why COLAS wanted to go beyond traditional prevention methods
- The installation of a smart camera providing a panoramic view of the site
- Real-time risk detection: vehicle/pedestrian collisions, falls, gestures and postures
- Field acceptance: a tool perceived as a 𝗹𝗲𝘃𝗶𝗲𝗿 𝗱𝗲 𝗽𝗿𝗲́𝘃𝗲𝗻𝘁𝗶𝗼𝗻, no control
💡The valeur ajoute?
Concrete alerts, quickly actionable by site managers, better anticipation of risky situations, and real support for security management. Here, AI becomes an everyday ally to protect teams, without ever losing sight of the human element.
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