Infrared-Enabled-Driver-fatigue-detection
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A driver snoozing system is a safety feature that detects and alerts a driver who is exhibiting signs of fatigue, with the goal of reducing the risk of accidents and injuries caused by drowsy driving.
Driver-Snoozing-System
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The Driver-Snoozing-System is a machine learning system designed to detect when a driver is falling asleep at the wheel and alerts the driver before an accident occurs. The system uses the shape_predictor_68_face_landmarks.dat file, which contains data about the location of 68 facial landmarks on a person's face, to analyze the driver's face and determine if they are exhibiting signs of drowsiness.
How to Contribute?
- Take a look at the contribution guide
How to make a Pull Request?
- Take a look at Pull Request guide
Usage
To get a local copy up and running follow these simple steps.
- Clone the repository with
git clone https://github.com/Deep-ghosty/driver-snoozing-system.git
- Install the necessary libraries:
pip install -r requirements.txt
- Run the snoozing detection script:
python driver_drowsiness.py
Acknowledgments
- The shape_predictor_68_face_landmarks.dat file was trained using the dlib library.
- The face detection functionality is based on the OpenCV library.
Repo holders
Miscellaneous
Do consider looking at other paradigms of this documentation
- Code Of Conduct
- How to contribute?
- How to Make a Pull Request