Helmet Detection using YOLO
Helmet and Number plate detection and recognition using machine learning, this model will detect that rider is wearing helmet or without helmet and identify the rider without helmet. If rider not wears helmet then it will detect the license plate and fetch the number from number plate and show numbers. This machine learning model is trained on large dataset of images and this model works on limited images and number plate should be clearly visible for fetching numbers from license plate. Python programming language is used to develop this project and tkinter for creating graphical user interface.
Helmet Detection and Number Plate Recognition using Deep 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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