Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{156493,
        author = {Pranali. R. Yawle and Kanchan. D. Mahajan and Shital.V. Shelke and Atul. B. Vitekar and Mahavir.S.Kasar and Rajesh U. Yawle},
        title = {TRAFFIC MONITORING SYSTEM USING IMAGE PROCESSING },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {3},
        pages = {822-825},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=156493},
        abstract = {In India, due to the increase of automobiles, traffic congestion at junctions has become a significant problem. Vehicle density is steadily rising, necessitating the urgent installation of adaptive traffic lights that can track traffic density in real time. By taking image of the traffic at a junction, this system makes excellent use of image processing to control the flow of traffic. Following a step-by-step procedure of image collecting, processing, and algorithm implementation, the duration of the traffic light is changed depending on the volume of vehicles on different roads at the traffic signal.},
        keywords = {Arduino Nano, Camera calibration, Image resizing, Thresholding, Traffic congestion. },
        month = {},
        }