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Automated License Plate Detection System by suntharan4321 is a document available to read on EtoBox.

The project aims to develop an automated vehicle number plate detection system using computer vision techniques to improve efficiency and accuracy in various applications such as traffic management and law enforcement. It employs a structured approach involving data collection, preprocessing, model training using YOLO, and deployment via a Streamlit web application for real-time processing. The system has achieved over 95% accuracy in detection and over 90% in OCR text extraction, with a real-time inference

Author
suntharan4321
Language
EN