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automatic-number-plate-recognition-Speed-Estimation

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Overview: This GitHub repository hosts a comprehensive project that combines advanced computer vision techniques to perform Automatic License Plate Detection (ALPR) and Speed Estimation using state-of-the-art algorithms. The project employs YOLOv8 for license plate detection, SORT for object tracking, and EasyOCR for optical character recognition to achieve highly accurate and efficient results.

A licensed plate detector was used to detect license plates. The model was trained with Yolov8 using this dataset. The model is available here.

Dependencies

  • Python 3.x
  • OpenCV
  • YOLOv8
  • SORT
  • EasyOCR
  • Numpy

Note: The sort module needs to be downloaded from this repository.