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Plate detection-counting

Original video Screenshot:

detect_4

Output:

detect_5

detect_2

detect_1

detect_3


Project description:

  • Dataset creation-Extracted images using frames from video.Created dataset of 250 Images

  • Created Annotations of 175 Images using “LabelImg tool”, with label as “plate”

  • Stored the co-ordinates of bounding box in txt file for each annotation

  • Trained model using YOLO Algorithm

  • Successfully trained the model with best Accuracy of 0.84

  • Also trained Tiny-yolo model for better performance & optimization, writes 10 to 11 frames in a second whereas in yolo takes 3 to 4 seconds to write a frame. Tiny-yolo gave Accuracy upto 0.82

  • For Auto-delete feature execution the formula used: No. of days*24*60*60


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To detect & count number of plates picked up from table.

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