This paper presents an automated number plate detection system designed to monitor vehicle movement within corporate premises. The system captures images of moving vehicles, extracts license plate information, and stores it in an Excel sheet for record-keeping. By leveraging Optical Character Recognition (OCR) and deep learning-based object detection models, the system ensures accurate and real-time vehicle tracking. This approach enhances security, streamlines entry-exit logging, and reduces manual intervention. The proposed system is particularly beneficial for organizations that require efficient parking management and security monitoring. Experimental results demonstrate the system’s accuracy and effectiveness in different lighting and motion conditions [6].