Paper Key : IRJ************288
Author: Elangovan A,Dhanush Adithya.l,Dr.d.kanchana
Date Published: 06 Oct 2023
Abstract
Currently, road traffic has emerged as a significant predicament. The majority of traffic accidents are attributable to human factors, with traffic violations being one of the most prevalent and typical causes. India is presently progressing towards automated solutions to mitigate traffic violations. The objective of this project is to establish a penalty system for traffic violations by employing Internet of Things (IoT) and image processing techniques, thereby facilitating the traffic police in managing penalties for traffic violations. This system aims to streamline the process by reducing paperwork and manual intervention. In previous endeavors, both technologies have been utilized independently, each possessing its own merits and demerits. Consequently, this undertaking seeks to harness the advantages of both technologies. For the image processing component, the efficient and reliable PYTHON programming language will be employed, specifically utilizing the K-Nearest Neighbor Algorithm for license plate recognition. In this system, immediate notifications will be dispatched to the vehicle owners, ensuring a prompt and efficient response, thereby fostering compliance with traffic regulations.
DOI LINK : 10.56726/IRJMETS45069 https://www.doi.org/10.56726/IRJMETS45069