High-Security Registration Plate Detection using OpenCV and Python

Abstract

Every year in India, the automobile sector is achieving new milestones, but with the increase of vehicles on the road there comes a serious problem of road accidents and road rage. Due to some common mistakes that are attempted by some non-professional and under-aged drivers, many other people lose their lives or get severe injuries on the road. It has been a challenging problem for the traffic as well as RTO (Regional Transport Office) to control the number of accidents that happen every year. A high-Security Registration Plate (HSRP) detector is a device that scans and detects the number plate of vehicles. In 2007 Government of India passed an act in which it became mandatory for everyone to install HSRP plates on vehicles but it was not implemented by all the states of India. With an increase in the installation of high-security registration plates, it becomes an easy task for the traffic department to issue fines against the drivers who violate the traffic rules on the roads. This project will detect all the images of HSRP installed vehicles and will convert these images into grayscale images then according to the violation committed; the fine will be displayed on the registered mobile number of the owner. Study and analysis of 2009-2021 years papers have been done in this research work. At last, a model is proposed to detect HSRP plates using OpenCV and Python.