Owens Corning has made great strides in prioritizing safety within its extensive network of over 130 factories. After research into how to reduce serious injuries and fatalites, the company identified the primary contributors to workplace incidents—forklift-human collisions and unauthorized entry into restricted areas. In response, they crafted a data-driven AI safety approach aimed at determining site-specific risks, quantitatively evaluating risk reduction efforts, and implementing real-time AI preventative measures where higher risks persist. Owens Corning strategically deploys temporary computer vision cameras in high-risk zones, collecting and analyzing gigabytes of data to discern traffic patterns and pinpoint areas of heightened risk. Subsequent modifications to workspace and procedures are informed by this intelligence, fostering area-specific risk reduction. For heightened risk areas requiring additional measures, they've implemented real-time AI sensors utilizing advanced computer vision and laser-ranging technologies. This sensor fusion delivers real-time warnings to drivers, pedestrians, and safety professionals, addressing potential risks promptly. Learn how a Fortune 500 company has utilized data-driven AI to achieve a safer and smarter working environment.

Key Takeaways: 

• Learn how Owens Corning elevates safety with AI, turning data into a powerful shield against workplace risks. 
• Witness the immediate impact of AI sensors, and how they provide a safety net that reacts as risks unfold.  
• Experience the synergy of AI in enhancing workplace safety, while contributing to smarter and more efficient manufacturing. 
• Uncover the art and science behind Owens Corning's tailored approach, reshaping safety protocols for a secure and proactive future.