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Currently I am working on automatic number plate recognition system. I have used yolov7 for number plate detection and Text detection facility from Google vision API. I have tested the whole system with test images. Now I am willing to develop the system to detect and read number plates in video sources. I could do the detection part for the video and where I am stuck is using the OCR for the detected bound box in the video.

For images, I first apply the trained YOLOv7 model and extract the number plate and save the detected number plate as a cropped part from the original image in the directory. And then the OCR is applied for that cropped part(Number Plate) and the text is read.

Test Sample: enter image description here NP detection: enter image description here Detected NP: (OCR is applied to this cropped image) enter image description here Detected Text: enter image description here

I could detect the number plates from the videos but could not find a way to freeze the frame where a number plate is detected and apply ocr or any other way to read the number plate.

Is there a way to achieve this? any help would be highly appreciated.

Rashmi
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1 Answers1

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Try getting the coordinates of the bounding box from each frame where the bounding box is appeared and apply OCR.

Devindi Siwurathna
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