hard-hat-detection and Safety-Helmet-Detection

Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 12/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 16/25
Stars: 11
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 30
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About hard-hat-detection

nosterdream/hard-hat-detection

YOLOv8 model for detection hard hats on people

This tool helps safety officers and construction site managers monitor hard hat compliance. It takes in images or video footage from a worksite and identifies every person present, marking them with a red box if they are not wearing a hard hat or a green box if they are. The output is annotated images or video, making it easy to quickly review and ensure safety regulations are met.

workplace-safety construction-monitoring compliance-auditing industrial-safety site-management

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.

construction-safety site-management worker-protection compliance-monitoring occupational-health-and-safety

Scores updated daily from GitHub, PyPI, and npm data. How scores work