Driver Drowsiness Detection System using Machine Learning
Drowsiness Detection with Neural Networks introduces a life-saving application that focuses on preventing accidents caused by drowsy driving. Leveraging neural networks, the system analyzes facial features and eye movement patterns to detect signs of driver drowsiness. Real-time alerts are triggered when the system identifies potential fatigue, prompting the driver to take necessary precautions. This project aims to significantly reduce the risk of accidents related to driver fatigue, promoting road safety and saving lives.
Drowsiness Detection System 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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