• Anugu Sowmya

Nowadays, we come across various problems in traffic regulations in India which can be solved with different ideas. Riding motorcycle without wearing helmet is a traffic violation which leads to Increase in number of accidents and deaths in India. In this research work, a Non-Helmet Rider detection system is built which attempts to satisfy the automation of detecting the traffic violation of not wearing helmet and extracting the vehicles license plate number. The main principle involved is Object Detection using Deep Learning at three levels. The objects detected are person, motorcycle at first level using YOLOv2, helmet at second level using YOLOv3, license plate number at the last level using Optical Character Recognition (OCR).

YOLOv2, YOLOv3, OCR

"Detection of Non-Helmet Riders And Extraction of License Plate Number Using Yolov2 And OCR Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.d474-d478, November-2022, Available :http://www.jetir.org/papers/JETIR2211365.pdf

"Detection of Non-Helmet Riders And Extraction of License Plate Number Using Yolov2 And OCR Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppd474-d478, November-2022, Available at : http://www.jetir.org/papers/JETIR2211365.pdf