Helmet Detection Project using Python
Helmet and Number Plate Detection using Machine Learning, this project works on helmet and number plate detection, This ML model works on image and video and recognize that rider is without helmet or helmet, if rider is not wearing helmet, then it will make red boundary box to rider and if person wears helmet then it shows output in green box. Parallel it identify license plate of bike and after detection it will keep whole image in separate project folder. This machine learning model is trained on large dataset of image and videos. ML is used to trained that model so it can easily recognize that violated riders.
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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