Drowsiness Detection System 🚗

A real-time drowsiness detection system that monitors driver alertness using computer vision and machine learning techniques.

Features 🌟

• Real-time face detection and eye tracking
• Drowsiness detection using Eye Aspect Ratio (EAR)
• Facial emotion recognition
• Customizable alert thresholds
• Audio alerts for drowsiness detection
• Interactive web interface using Streamlit
• Real-time statistics display

Requirements 📋

• Python 3.7+
• OpenCV
• dlib
• streamlit
• pygame
• numpy
• imutils
• scipy
• facial_emotion_recognition

Installation 🔧

1. Clone the repository:

git clone https://github.com/kishore0-0-7/drowsy-detection.git
cd drowsy-detection

2. Install dependencies:

pip install -r requirements.txt

3. Download required models:

• Download shape_predictor_68_face_landmarks.dat from dlib
• Ensure alarm.wav is in the root directory
• Download emotion recognition models (fer.json and fer.h5)

Usage 🚀

1. Run the Streamlit app:

streamlit run streamlit_app.py

2. Adjust settings in the sidebar:

• EAR Threshold: Controls sensitivity of eye closure detection
• Number of Frames: Consecutive frames for drowsiness detection
• Time Threshold: Duration before triggering alert

3. Click "Start Detection" to begin monitoring
4. Press "Stop" to end the session

How It Works 🔍

Drowsiness Detection

• Uses facial landmarks to detect eye positions
• Calculates Eye Aspect Ratio (EAR)
• Triggers alert when EAR falls below threshold for specified duration

Emotion Recognition

• Detects facial expressions in real-time
• Classifies emotions into categories:
  • Angry
  • Disgust
  • Fear
  • Happy
  • Sad
  • Surprise
  • Neutral

Components 🛠️

1. Main Application (streamlit_app.py)

   • Web interface
   • Real-time video processing
   • Alert system
   • Statistics display

2. Emotion Detection (emotion.py)

   • Facial emotion recognition
   • Expression classification
   • Real-time emotion tracking

Safety Note ⚠️

This system is intended as an auxiliary tool and should not be relied upon as the sole means of preventing drowsy driving. Always ensure proper rest before operating vehicles.

Contributing 🤝

Contributions are welcome! Please feel free to submit a Pull Request.

License 📄

This project is licensed under the MIT License - see the LICENSE file for details.