This project is a driver drowsiness awareness system. Developed for the Samsung Innovation Campus capstone project.

Requirements are basic, as only a PC with a webcam is needed to run the application. The application is built using the MediaPipe model, which is a Google Tensorflow model that is trained on the MediaPipe dataset. It's much faster than dlib, and much less resource intensive compared to dlib/cnn.

Current contributors:

• Yousuf Ashraf

Create a python venv

python3 -m venv venv

Activate the venv

source venv/bin/activate

Or on Windows:

venv\Scripts\activate.bat

Install requirements

pip install -r requirements.txt

Run the application

python mp.py