Abstract :

Vehicle identification is a critical component of intelligent transportation systems, traffic monitoring, and security applications. Manual verification of vehicle number plates is inefficient and prone to human error, especially in high-traffic environments. This paper presents an AI-powered license plate recognition system for automatic vehicle identification. The proposed system uses deep learning techniques to detect and recognize license plates from vehicle images. Image preprocessing is applied to handle variations in lighting, orientation, and noise. A convolutional neural network is employed for license plate detection, followed by optical character recognition for text extraction. The system accurately identifies vehicles in real time. Experimental results demonstrate high recognition accuracy under diverse conditions. The proposed solution reduces manual intervention and improves operational efficiency. It is suitable for applications such as toll collection, parking manageme