KrishArul26/Motorbike-Helmet_detection-using-YOLOV3

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.

28
/ 100
Experimental

This project helps traffic management and law enforcement agencies monitor road safety by automatically detecting motorcyclists and whether they are wearing helmets. It takes live video feeds or image streams as input and identifies motorcycles and riders, then determines if a helmet is being worn, flagging violations. This tool is ideal for traffic police or surveillance system operators.

No commits in the last 6 months.

Use this if you need an automated system to detect helmet violations on public roads from camera feeds.

Not ideal if you need to identify license plates or integrate with a system for automated penalty dispatching, as this feature is not yet implemented.

road-safety traffic-monitoring law-enforcement surveillance public-safety
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 14 / 25

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Stars

22

Forks

4

Language

Python

License

Last pushed

Nov 08, 2021

Commits (30d)

0

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