Paper Key : IRJ************265
Author: M Vasanthi
Date Published: 01 Mar 2025
Abstract
AutomatedVehicleNumberPlateExtraction (AVNPE) is a crucial technology in intelligent transportation systems, enabling law enforcement, toll collection, parking management, and traffic surveillance. Here we present a deep learning-based number plate extraction of the object by utilizing YOLOv8 (You Only Look Once) and implementing Tesseract OCR to extract information from the number plate. An interactive platform supporting real time detection through webcam and image detection of uploaded images using theFlask web framework is developed. . The system includes an image-processing module, license-plate detection module, extracting alphanumeric-based text, and validates state code for Indian vehicle number plates. The results are saved in a standard CSV format for subsequent analysis. Research methodologies, detection efficiency, system implementation, and limitations of the study are discussed in this paper
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