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Helmet and License Plate Detection using Machine Learning
Angelin Joseph, Angel Maria D Rose, Cicy Thomas, Mary Antaneeta CT
Abstract— Motorcycle accidents have been rapidly growing through the years in many countries. In India more than 37 million people use two wheelers. It is necessary to develop a system for automatic detection of helmet wearing for road safety. This project aims to solve this problem by automating the process of detecting the riders who are riding without helmets. The system takes a video of traffic on an open street as an information and recognizes the moving items inside the scene. Therefore, a custom object detection model is created using a Machine learning based algorithm which can detect Motorcycle riders wearing Helmet or not . We propose a framework for the detection of traffic rule violators who ride bikes without using a helmet.
Keywords--YOLO v4, Object Detection, Convolutional Neural Network, Helmet Detection.
