Edge-computing method for automatic license plate recognition and system thereof

An edge-computing system for automatic license plate recognition, comprising:

• a photographing module;
• a memory;
• and
• a processor electrically connected with the photographing module and the memory, wherein the processor performs an edge-computing method for automatic license plate recognition, and the edge-computing method comprises:
• using the photographing module to generate a streaming video having continuous frames;
• frame-by-frame determining one or more license plates, and extracting an image of each of the one or more license plates in each of the continuous frames from full frame images of the continuous frames;
• wherein the image is temporarily stored in the memory;
• frame-by-frame recognizing one or more characters in each of the one or more license plates in each of the continuous frames, calculating one or more confidence levels of the one or more characters recognized from every one of the one or more license plates, and obtaining a confidence score from the one or more confidence levels of all of the one or more characters recognized from every one of the one or more license plates,
• wherein, after the one or more characters of each of the one or more license plates in the continuous frames are recognized, a license plate tracking process is performed for:
• frame-by-frame recognizing one of the one or more license plates, and selecting a target license plate in a first frame of the continuous frames;
• calculating a physical distance between the target license plate in the first frame and each of one or more license plates recognized in a second frame of the continuous frames individually, so as to obtain one or more license-plate distances with respect to the one or more license plates recognized in the second frame;
• and
• determining whether or not the target license plate in the first frame is any of the one or more license plates recognized in the second frame based upon the physical distance;
• and
• calculating the confidence score of each of the one or more license plates multiple times in the continuous frames within a period of time, and storing a full frame image that corresponds to the image of a license plate of the one or more license plates having a highest confidence score in the memory.