An inventive way to automatically recognize and retrieve vehicle license plate information from photos or video feeds is the Vehicle Number Plate Detection and Recognition System. The system accurately detects, segments, and recognizes number plates in real time using cutting-edge computer vision and machine learning approaches. There are two primary steps in the process: detection, which locates the license plate of the car in the picture or video frame, and recognition, which extracts and decodes the plate's characters into alphanumeric text. During the detection phase, the region of interest (ROI) containing the license plate is identified using deep learning models, such as Convolutional Neural Networks (CNNs).