Real-Time PPE Detection and Safety Compliance Monitoring System for Construction Sites Using Machine Learning

This paper proposed a real-time PPE detection and safety compliance monitoring system for construction sites based on YOLO object detection, rule-based compliance analysis, and a Streamlit dashboard. By covering helmets, safety jackets, and safety shoes, and by linking detections to individual workers, the system aims to give safety personnel a practical, low-cost aid for continuous monitoring. Implementation and experimental evaluation are the next steps, and the findings will determine how well the approach holds up under real site conditions.

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