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Helmet Detection on Motorcyclists Using Deep Learning

Abstract: The most popular vehicles in India are motorcycles and motorbikes. Particularly in India, traffic accidents are a leading cause of death worldwide. Although two-wheeled motorbikes are a logical option for a practical mode of transportation, they also greatly raise the incidence of fatalities and injuries in traffic accidents. Despite government regulations, many people still choose not to wear helmets when driving. A person may choose not to wear a helmet due to their own hasty or deliberate actions. In an effort to increase awareness in society, this project encourages the strict use of helmets and points individuals in the direction of safety. The program helps the traffic police find the violations while not slowing down traffic. When receiving a bill through SMS as they arrive at their homes, no one would ever attempt to break the law. The initiative revolves around the idea of transfer learning. YOLO is the object detection algorithm employed here (You Only Look Once). To try to identify people without helmets and send a snapshot of them to the closest police station, the project uses feature detection, which is the idea behind object detection. We intend to update the project so that it can recognize the license plate, even match the information of the person using the plate, and send an SMS bill to the offender.