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Automatic Number Plate Detection System for Indian Vehicles Using Yolov5 and EasyOCR

  • Ameya Srivastava,
  • Pragati Narote,
  • Shreeniket Fatangare,
  • Suhas Kakade,
  • Rohan Kulkarni

摘要

Automatic Number Plate Recognition (ANPR) systems have gained significant attention due to their potential applications in traffic law enforcement and intelligent parking systems. This research paper proposes an enhanced ANPR system utilizing the YOLOv5 object detection framework and the EasyOCR text recognition library. The model is specifically designed to read Indian license plates and is capable of detecting the license plate number from images as well as videos. The precision of the model is 99.5%, recall is 98.8%, and mAP is 99.2%.