Number Plate Detection with Neural Networks

Number Plate Detection enhances security and surveillance by employing neural networks to identify and recognize vehicle license plates. By analyzing images or video streams, the system accurately captures and interprets license plate information. This application finds applications in law enforcement, parking management, and traffic monitoring. The neural networks’ ability to process diverse plate formats and variations ensures reliable and efficient identification in various scenarios.

Software Requirements :-

1. Operating System: Win 7 or more
2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM