Published Paper Details:

: In India, motorcycles and motorbikes dominate the roads, yet the country also grapples with alarming rates of traffic accidents, often resulting in fatalities. A significant contributing factor is the reluctance of many riders to wear helmets despite government regulations. This project aims to address this issue by leveraging technology and innovative enforcement methods. Utilizing the YOLO object detection method, our initiative focuses on identifying individuals riding motorcycles without helmets. Through a system of feature detection, snapshots of offenders are captured and promptly sent to the nearest police station for further action. To enhance the project's effectiveness, we plan to implement transfer learning to refine the algorithm's ability to recognize license plates. This advancement would enable the system to not only detect helmet-less riders but also match them with their vehicle registration information. Subsequently, offenders would receive an SMS bill for violation of helmet regulations. By automating the detection process, our approach seeks to streamline enforcement efforts while minimizing disruption to traffic flow. Through this innovative blend of technology and enforcement, we aim to promote helmet use and enhance road safety in India.