This project develops an intelligent safety monitoring system for construction sites using the YOLOv26 object detection model. The system detects whether workers are wearing mandatory Personal Protective Equipment (PPE) such as helmets, safety ves…
This project develops an intelligent safety monitoring system for construction sites using the YOLOv26 object detection model. The system detects whether workers are wearing mandatory Personal Protective Equipment (PPE) such as helmets, safety vests, gloves, and boots in real time using camera input. By analyzing construction site images and video streams, the model identifies safety violations and alerts supervisors when workers are not following safety protocols. The goal of this system is to reduce workplace accidents, improve compliance with safety regulations, and automate safety monitoring in construction environments.
Used Raptor for code completition
