The license plate recognition system has emerged as a crucial component in the creation of smart cities, primarily to manage traffic, investigate stolen automobiles, and manage vehicles. The authors of this chapter propose a method that consists of the three primary components of license plate recognition. It includes pre-trained model YOLOv8 toward localizing the license plate of the vehicle, cropping the image based on the detected bounding box, and further employing the Optical Character Recognition (OCR) algorithm to identify the characters. Compared to state-of-the-art algorithms, the testing results demonstrate 83.65% accuracy and faster execution times.