• Rajeshri Vaidya
• Vaishnavi Bisen
• Manjusha Bansod
• Ganesh Masurkar
• Lokesh Telange,Piyush Shelke

The rapid growth in urbanization and vehicular population has brought about an increased need for efficient traffic management and enforcement systems. In this context, the development of automated systems for vehicle registration plate detection and electronic challan (e-challan) issuance has gained significant attention. This abstract presents an overview of a moving vehicle registration plate detection and e-challan system designed to enhance the effectiveness of traffic regulation and enforcement processes. The proposed system utilizes computer vision techniques and machine learning algorithms to automatically detect and recognize vehicle registration plates in real-time. The detection process involves capturing video frames from surveillance cameras installed at strategic locations on road networks. These frames are then analyzed using image processing techniques to identify and extract the registration plates. The extracted plate images are subsequently processed by optical character recognition (OCR) algorithms to retrieve the alphanumeric characters.

Image Processing, Character Segmentation, Optical Character Recognition (OCR).

"REAL-TIME MOVING VEHICLE REGISTRATION PLATE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.b156-b176, June-2023, Available :http://www.jetir.org/papers/JETIR2306120.pdf

"REAL-TIME MOVING VEHICLE REGISTRATION PLATE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppb156-b176, June-2023, Available at : http://www.jetir.org/papers/JETIR2306120.pdf