Real-Time License Plate Detection and Recognition System using YOLOv7x and EasyOCR

Automated license plate detection system is used for recognition and locating of license plates on vehicles using image processing and computer vision methods. Automated license plate detection is an important area of research in computer vision with far-reaching applications in the industrial sector. It has the potential to increase productivity and accuracy in numerous industrial applications. The procedure entails utilizing a camera to take a photo of a vehicle's license plate, processing the photo to identify the plate, and extracting the characters from the plate. This paper provides implementation of the YOLOv7x algorithm to detect license plate on vehicles. EasyOCR is applied to the detected license plate to recognize the text. The model is trained on a customized dataset consisting of only Indian vehicles license plate. The proposed work achieves a high accuracy of 99% and outperforms old techniques like Yolov3, darknet, CNN.