REALTIME HELMET DETECTION AND NUMBER PLATE RECOGNITION
Authors/Creators
- 1. Professor, Department of Computer science and Engineering, RVS Technical campus – Coimbatore.
- 2. Student, Department of Computer Science and Engineering, RVS Technical Campus – Coimbatore
Description
Abstract
Road accidents are now one of the leading causes of death in the United States. Motorcycle accidents are common among them, and they often result in serious injuries. A motorcyclist's helmet is one of the most important pieces of safety equipment. However, many people do not follow the rule that requires them to wear a helmet. A method based on image processing and a convolutional neural network is used to detect motorcyclists who are breaking helmet restrictions. Motorbike detection, helmet vs. no helmet categorization, and motorbike licence plate identification are all part of the system. Once the motorcycle has been recognised, a convolutional neural network is used to identify whether or not the rider is wearing a helmet. When a biker is discovered without a helmet, the motorcycle's licence plate is detected.