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This research demonstrates a proactive AI-driven framework that enhances safety in mega-infrastructure projects, highlighting its significance.
This research presents a proactive AI-driven framework for occupational safety in mega-infrastructure projects, introducing the "Digital Guardian" system. By leveraging YOLOv8-based Computer Vision and Predictive Neural Intelligence, the framework automates ISO 45001 compliance monitoring in real-time. Key Technical Outcomes: - Performance: Achieved 98.2% accuracy in PPE detection with a 12.4ms inference latency. - Operational Impact: Validated across nine flagship projects, supporting a milestone of 42 million safe man-hours with zero Lost-Time Incidents (LTI). - Strategic Value: Bridges the gap between raw visual telemetry and institutional excellence, aligning directly with the digital transformation pillars of Saudi Vision 2030. The study details a scalable architecture for "Zero-Harm" safety governance, optimized for the high-contrast and high-dust environments of the Middle East.
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Mustafa Omer Shoieb Mohammed (2023) studied this question.
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