Enhancing Safety Through AI – Predict, Prevent, Protect
Construction safety remains one of the industry's most pressing challenges, with billions lost each year due to accidents, injuries, and regulatory penalties. But while traditional safety systems react to incidents after they occur, AI has the power to predict them before they happen.
In this white paper, we explore how data-driven technologies are redefining safety performance—from detecting hidden patterns in incident timing and fatigue cycles to real-time alerts based on environmental or behavioral factors.
- The latest safety incident trends and root causes in global infrastructure
- How AI models like YOLOv8 and OpenPose use video feeds for predictive monitoring
- The surprising impact of cultural factors (like Ramadan fasting) on incident spikes
- How Mavryck's safety intelligence tools flag at-risk conditions before they become critical
Whether you're a safety lead, project director, or innovation sponsor, this paper offers a roadmap to smarter, proactive safety using AI—not more paperwork.
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