Abstract
Abstract: Today, every country has serious issues with traffic management and car ownership identification. Car owners who violate traffic laws and drive too fast may be difficult to spot. It could be challenging for traffic officers to collect the license plate because of the speed of the moving car, making it impossible to identify and penalize such offenders. The creation of an automated system for number plate identification is crucial as a remedy for this problem. A web application that can identify license plates and display them will be created. To achieve the desired outcomes, EasyOCR and OpenCV will be combined with machine learning system models (such K-means or CNN). We'll make use of the YOLO dataset.
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