Year: 2022
Type: article
Abstract: This paper is centred on traffic echallan system, as for the number of traffic rules violations, there are traffic police on every square to control the traffic, even after many accidents due to traffic rules violation, overspeed of vehicles, triple seats, without helmets, drunk drivers, etc. every day.This problem needs to be resolved and there should be strong supervision on violators to stop further accidents and violations of traffic rules.To overcome this major issue here system with the idea of the E-Challan Generation System which will help the traffic police department to catch the violators using licence plate detection (number plate detection) and face detection of the person violating the traffic rules.In this proposed system OpenCV and Python along with Convolutional Neural Network (CNN), KNN algorithms are used to classify the image captured by the webcam to generate the required output for an e-challan generation.The challan will be generated instantly against the violator after detecting the vehicle's licence plate (number plate), then the challan will besent online to the person and can pay it via any payment method.If the fine dues were not cleared within the stipulated period, the vehicles could be seized and ownership transfers or selling of vehicles would become difficult.This will reduce the workload of the government and help in reducing corruption.
Authors: Dr. Sonali Ridhorkar, Khushi Gupta, Kalyani lokhande, Prachi Bhanarkar, Vijeta Meshram, Venuhemane .
Institution: Raisoni Group of Institutions
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4292332554