Vision Plate: Real-Time Vehicle Number Plate Detection Using OpenCV

With the rapid rise in smart surveillance and traffic management systems, automatic number plate recognition (ANPR) has become an essential feature. This paper presents Vision Plate, a real-time vehicle number plate detection system using Python and OpenCV. It employs Haar Cascade classifiers for efficient plate localization, supported by preprocessing techniques for noise reduction and image clarity. Unlike traditional systems that capture single frames manually, our system automatically stores up to 10 high-quality images without overwriting previous ones. The captured plates are filtered based on sharpness and clarity, allowing manual selection of the best result. The application runs through a webcam-based input interface and offers a cost-effective solution for ANPR. This project is a step toward real-time intelligent transport systems and security infrastructure.