Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate information from image or a video capture. These systems have gained popularity due to the wide availability of low-cost surveillance cameras and advances in Deep Learning. Typically, video-based ALPR systems rely on multiple frames to detect the vehicle and recognize the license plates. Therefore, we propose a system capable of extracting exactly one frame per vehicle and recognizing its license plate characters from this singular image using an Optical Character Recognition (OCR) model. Early experiments show that this methodology is viable.

翻译：自动车牌识别（ALPR）涉及从图像或视频捕获中提取车辆牌照信息。由于低成本监控摄像头的广泛普及以及深度学习的进步，此类系统已日益普及。典型的视频ALPR系统依赖多帧图像来检测车辆并识别车牌。因此，我们提出一种系统，能够为每辆车精确提取单帧图像，并利用光学字符识别（OCR）模型从该单一图像中识别车牌字符。初步实验表明该方法是可行的。