Construction-Hazard-Detection and Safety-Detection-YOLOv8
About Construction-Hazard-Detection
yihong1120/Construction-Hazard-Detection
Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.
This system helps construction site managers and safety officers monitor job sites using existing camera feeds. It automatically identifies safety hazards like workers without helmets or vests, people too close to machinery, or individuals in restricted zones. The system takes video streams as input and outputs real-time alerts and images directly to your preferred messaging app, helping you respond quickly to potential dangers.
About Safety-Detection-YOLOv8
biswadeep-roy/Safety-Detection-YOLOv8
It's a cutting-edge object detection model, to enhance safety measures by identifying and classifying objects related to personal protective equipment
This tool helps ensure workplace safety by automatically identifying whether individuals are wearing required personal protective equipment (PPE) like hardhats, masks, and safety vests. It takes live video feeds or recorded footage as input and highlights where safety compliance is met or not, allowing safety managers or site supervisors to monitor and enforce safety standards.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work