Vehicle License Plate Detection using Image Processing
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.
Car Number Plate Recognition System Using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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