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.
No commits in the last 6 months.
Use this if you need an automated way to verify safety helmet compliance on construction sites, reducing manual oversight and improving worker safety.
Not ideal if you require a system that detects a broad range of safety violations beyond helmet use, such as proper harness usage or prohibited area access.
Stars
30
Forks
6
Language
Python
License
—
Category
Last pushed
Jan 28, 2024
Commits (30d)
0
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