This project presents an Automatic Number Plate Recognition (ANPR) system using the YOLO object detection model and Optical Character Recognition (OCR). The system detects vehicle number plates from images or video using YOLO, then extracts and preprocesses the plate region for better clarity. OCR is applied to recognize and convert the alphanumeric characters into machine-readable text. The proposed system provides a fast, accurate, and real-time solution for vehicle identification, useful in traffic monitoring, toll collection, parking management, and security applications. It reduces manual effort and improves efficiency through deep learning and image processing techniques.