This project develops an end-to-end vision pipeline for detecting safety helmets and high-visibility vests on personnel. Using real-time object detection models like YOLOv8, the system analyzes worker images to ensure all safety protocols are followed. If a worker is detected without a helmet in a designated zone, the system triggers an automated alert. This outcome serves as a 24/7 compliance layer for industrial safety officers, significantly reducing the risk of head injuries and ensuring adherence to occupational health and safety standards.
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AI / ML Projects, Artificial Intelligence Projects, Computer Vision & Object Recognition, Image Processing Projects
Automated Helmet Detection and Safety Compliance Monitoring System
Original price was: ₹6,999.00.₹3,999.00Current price is: ₹3,999.00. inc GSTs*
Manual monitoring of safety compliance in construction and industrial sites is inefficient and prone to oversight. There is a critical need for automated computer vision systems that can detect the absence of Personal Protective Equipment (PPE) in real-time to prevent workplace injuries.

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