Hello to everyone. I am making a license plate recognition system through Xavier developer. I am processing on the real image. I have a problem. If the plate is in the image, it tries to be read from the first frame. But it misreads the license plate in the first frame while in motion. When the vehicle stops, it gives 95% accurate results.
My question is: How can I choose the correct one from the plate data coming from the frames? I thought I’d accept the most repeated one as correct. And I added the plates to a list. I want the counter to accept the most repeated one as correct. But it seems like a bit of a complicated process to me.
If the vehicle is in motion, I want it to not do anything. When the vehicle stops, the system should read the plate. How can I do that? I would be very happy if anyone can help.
Developer kit: Nvidia Jetson Xavier AGX
Object Detection Models: Yolov5