Driver Drowsiness Detection System

A Machine Learning and Python-based project that detects driver drowsiness using facial landmarks and raises an alert when drowsiness is detected. The system helps in preventing accidents caused by fatigue during driving.

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Features

• ML-based eye movement detection
• Eye Aspect Ratio (EAR) for drowsiness detection
• Real-time monitoring with webcam
• Alarm alert when eyes remain closed
• Lightweight and efficient

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Technologies Used

• Python 3.7(only)
• OpenCV
• Dlib (68 facial landmark model)
• Numpy
• Imutils

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Project Structure

DriverDrowsinessSystem/
│
├── models/
│ └── shape_predictor_68_face_landmarks.dat   # Pre-trained ML model
│
├── Drowsiness_Detection.py   # Main Python script
├── music.wav   # Dependencies
│── requirements.txt   # Python dependencies
└── README.md # Documentation

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Getting Started

Follow these steps to run the project locally:

1️⃣ Clone the Repository

git clone https://github.com/your-username/DriverDrowsinessSystem.git
cd DriverDrowsinessSystem

2️⃣ Install Requirements

pip install -r requirements.txt

3️⃣ Run the Program

python Drowsiness_Detection.py

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Note

• Ensure your webcam is working before running the project.
• The models/shape_predictor_68_face_landmarks.dat file is required (download separately if not included).
• Replace music.wav with your preferred music/sound file for alerts.