VEHICLE GRIEVANCE HANDLING






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VEHICLE GRIEVANCE HANDLING

Manu N 1, Mrs. Roopa R 2

[1] Student, Department of MCA, BIET, Davangere

[2] Assistant Professor, Department of MCA, BIET, Davangere

ABSTRACT

In this vehicle grievance handling our cutting-edge traffic safety monitoring system uses object detection, machine learning, and YOLOv3 to improve road safety. It can distinguish between motorbikes and non-helmet riders, recognize triple riding, and keep an eye out for fast-moving scars. This technique greatly lessens the need for physical enforcement by emphasizing the usage of helmets, speed compliance, and safe riding habits. It helps law enforcement encourage safer driving practices and lessen accident-related injuries, especially brain injuries, by offering real-time insights and actions, so increasing overall traffic safety.

Keyword: Object detection, Machine learning, YOLOv3, Traffic surveillance, Helmet detection.

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