• Dr. T.V. Rajini Kanth.
• Kandala Sreekar

A helmet is a protective gear mainly worn by riders of two wheeled vehicles. It has a hard plastic outer shell and has soft, impact absorbing padding inside. If the rider was to meet an accident on the road, his fast-moving head could collide with a hard surface. This can result in serious injury or death. A helmet acts as the mechanical barrier between head and object. The cushion inside the helmet absorbs the hard contact and spreads the impact over a larger area. Injuries can be avoided, and fatal injuries can be minimized if a good quality full helmet is used. Traffic rules are established stating that every rider must wear a helmet while riding on the road at all times as it has shown to have a profound impact on accident injuries and deaths. However, in reality, many riders do not strictly adhere to this rule. Therefore, the traffic police have to create a system to identify and discipline the violators. The police look into the video footage obtained from the CCTV cameras installed on the streets. These cameras are positioned to overlook the street, capturing images of every single vehicle passing through. Then, the police have to manually inspect the footage and identify the license plate numbers of the violating riders. But this method is time-consuming, uses intensive manpower and requires manual detection, extraction and storage of the license plate numbers of the violators. So, here a methodology for helmet detection and license plate extraction can be deployed. This system makes use of YOLO (v2, v3) and OCR. This system involves collection of the dataset, moving object detection, background subtraction, object detection and Optical character recognition.

Authenticate, traffic, OPENCV, yolo.

"Detection of Non-Helmet riders and Recognition of License Plate Characters using YOLOv2 and OCR.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.d8-d16, June-2022, Available :http://www.jetir.org/papers/JETIR2206302.pdf

"Detection of Non-Helmet riders and Recognition of License Plate Characters using YOLOv2 and OCR.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppd8-d16, June-2022, Available at : http://www.jetir.org/papers/JETIR2206302.pdf