Helmet Detection Using Yolo V3 Technique

Bike mishaps have been quickly enlarged over time in many countries. A helmet or a protecting cap is the main safety equipment of motorcycle riders, and two wheelers, however many driver's abandonment wearing helmets. The main outcome of wearing a helmet is to protect the head of a person travelling on two wheelers just in case of a major or minor accident or fall from a running bike. Because of different social and monetary elements, this sort of vehicle is turning out to be progressively famous. The head protector is the fundamental security gear of motorcyclists however, anyway numerous drivers dont utilize it. This paper proposes a framework for identification of motorcyclists without helmets. For this, we have applied the round Hough change and the Histogram of Oriented Gradients descriptor to remove the picture credits. Then the YOLO v3 was utilized and acquired outcomes. The system has given an average recognition accuracy of 75 that is satisfactory. Vijay Khare | Pratiroop Puri | Kratik Chaurasia "Helmet Detection Using Yolo -V3 Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49341.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/49341/helmet-detection-using-yolo-v3-technique/vijay-khare