Due to the increase in the number of road accidents in daily life, especially two-wheelers, people are losing their loved ones because of reluctance to wear helmets, this is one of the major causes for death. The proposed model majorly focuses on penalizing the owner of the vehicle if the rider/pillion rider is not wearing a helmet especially on highways by integrating proposed work on the car's dashcam or old smartphone. It works by capturing live video on roads, and penalizing if violating the rules by extracting the registration number of the vehicle, technology involved in this work is You Only Look Once (YOLOv5) object detection model for helmet detection and of Easy Optical Character Recognition (OCR) for number plate recognition. By using this technology high efficiency of helmet detection and number plate recognition can be achieved. The first stage is to identify the bike riders using the background subtraction approach. Next, it finds if the motorcyclist wears a helmet or not. The license plate is taken from the video clip of the motorcyclist riding without a helmet.