drowsiness-detection-system

Drowsiness Detection System

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Table Of Contents

• About the Project
• Built With
• Application
• Contributing
• License
• Authors

About The Project

A computer vision system that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

Built With

OPENCV TENSORFLOW PYGAME FLASK

Application

This can be used by riders who tend to drive for a longer period of time that may lead to accident space. You may also link to more resources.

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

• If you have suggestions for adding or removing projects, feel free to open an issue to discuss it, or directly create a pull request after you edit the README.md file with necessary changes.
• Please make sure you check your spelling and grammar.
• Create individual PR for each suggestion.

Creating A Pull Request

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Authors

• kuwar kapur - Robotics engineering student - kuwar kapur