Real-Time Automatic License Plate Recognition using Image Processing
Helmet and License Plate Detection using Machine Learning, In this project will show output of helmet and number plate detection, it works on helmet and license plate detection, user have to provide any image and video as input to machine learning model and it detects that rider is wearing helmet or not, if person not wearing helmet, then it will show in red boundary box and if rider wears then it shows in green box. Simultaneously it detects number plate and after detection it will store whole image in separate folder. This project is trained on large dataset of image and videos. Machine learning is used to trained that model so it can easily identify the violated riders.
Helmet Detection using OpenCV Python
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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