Helmet Detection using Machine Learning | Image Processing Projects

Helmet and Number Plate Detection using Machine Learning, this project works on helmet and number plate detection, This Machine Learning 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 identifies 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.

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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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