Enforcing traffic laws in a densely populated nation like India is challenging. However, many motorcyclists continue to put their lives in danger by without wearing protective headgear. The traffic police have an extremely time-consuming job in keeping tabs on all the cars on the road. CCTVs are commonplace in several of the more populous places. There is already the technology in place to make motorcycle riders’ tracking and monitoring more streamlined. This study proposes a technique for identifying triple riding, helmetless motorcyclists and retrieving the vehicle identification number of any motorbike driven by an unprotected rider. The YOLO (You Look Only Once) approach is used to identify the triple riding, biker’s helmet and the bike’s licence plate. Modeled on the COCO dataset, YOLO has the ability to identify 80 different classes. YOLO learned its stuff using inputs like helmet images and licence plate data. This technique yields excellent outcomes. Identifying triple riding, helmets and licence plates is done with great precision.