This workflow automates the detection of latent, high-consequence risks by fusing real-time video streams with biometric telemetry from worker wearables. It identifies correlations—like elevated heart rates near unstable loads or erratic movement in exclusion zones—that signal imminent incidents. The operational upside is a 60-80% reduction in manual oversight burden and a shift from reactive logging to predictive intervention, directly lowering incident rates and associated project delays, insurance costs, and compliance penalties.




