Helmet and Number Plate Detection Project with Source Code
Real-Time Helmet and Number Plate Detection using Machine Learning, this project works on helmet and number plate detection, It works through laptop webcam and identify the rider first and recognize that rider is wearing helmet or without helmet then it will detect that bike number plate and make a boundary box on number plate. If person not wears helmet, then make red boundary box or else it will draw green boundary. Machine Learning model is trained on large dataset of images and video so that model can identify the helmet and license plate in various image or real-time.
Real Time Helmet and Number Plate Detection 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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