Safety-Helmet-Detection and helmet-violation-detection
About Safety-Helmet-Detection
jomarkow/Safety-Helmet-Detection
YoloV8 model, trained for recognizing if construction workers are wearing their protection helmets in mandatory areas
This system helps construction site managers or safety officers automatically monitor if workers in mandatory areas are wearing their safety helmets. It takes live video feeds or images from your construction site and identifies individuals, flagging whether they are properly equipped with a helmet. This is ideal for ensuring compliance with safety protocols and enhancing worker protection.
About helmet-violation-detection
MehmetCokol/helmet-violation-detection
YOLOv8-based detection of helmet rule violations from real traffic video data.
This project helps traffic management and law enforcement agencies automatically identify motorcyclists and their passengers who are not wearing helmets from surveillance video footage. It takes raw traffic videos as input and outputs processed videos or images with helmet violations highlighted. City planners, traffic police, or road safety researchers would use this.
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