Traffic Rule Violation Recognition for Two Wheeler using YOLO Algorithm

Abstract

There are different means of transportation system available to us, helping us reach our desired destination as fast as possible. But a vast majority of people especially the daily commuters prefer to use a two wheeler rather than using a public transport or a car etc...But due to negligent driving and violation of traffic rules and regulations the risk involved is high. In recent years the government has made many strict regulations in the traffic rules. But even after taking such strict measurements there has been no significant reduction in the number of accidents that has been occurring due to the violation of traffic rules. So this study has developed a solution by developing a software to continuously monitor the oncoming traffic and send a message to the concerned authority with the help of YOLO algorithm. This study proposes an algorithm to identify the motorcycle riders without a helmet or ridding with more than two riders with the help of real time surveillance videos by using YOLO algorithm. Furthermore it has also been designed to send the vehicle information of the person, who has violated the aforementioned rules with the help of twilio platform. The helmet detection feature present in this system helps to identify two wheeler riders without helmet and also helps to prevent the occurrence of accidents. Here, the model is trained by using sample images of automatic helmet detection and triple riding. Furthermore, the model is trained to capture the number plate of people, who are violating the rules.