Published Paper Details:

The range of vehicles has elevated dramatically over the past decades. As the number of vehicles on the road grows, it becomes more difficult for law enforcement and traffic officials to keep track of each one. Reasons of management Automatic Recognition of License Plates. ALPR (Automatic License Plate Recognition) is a common surveillance device that records vehicle license plates. It became a picture that captures and recognizes their license plate numbers. This is an essential research subject for this time period. The coco dataset was used in our research is used to recognize license plates. Continuing with the strategy of We used multitask learning to recognize character strings. YOLO-v3 changed into used for recognition, and CRNN changed into used for category and our proposed method's category. We divided the photos into three sets for evaluation: 40% for the training set, 20% for the validation set, and 40% for the test set. We chose a lower threshold for the test set evaluation, 0.125, which resulted in a 99.82 recall. Our proposed method has an 86 % recognition rate, with 88 % of three letter plates and 99 % of four letter plates being recognized. Finally, utilizing temporal redundancy, the very last identity fee is significantly enhanced, attaining 96%. Our method boosts reputation charges from 93.58 to 96.1 %, surpassing Sighthound and Open ALPR through 9% and 4.9%, respectively.