Driver Safety Kit

A real-time safety monitoring system that combines driver authentication, drowsiness detection, head pose estimation, and alcohol detection using computer vision and audio alerts.

Features

• Face Authentication: Recognizes and verifies the driver using facial recognition.
• Drowsiness Detection: Monitors eye closure, blinking rate, and yawning using Mediapipe FaceMesh.
• Head Pose Estimation: Detects if the driver is distracted or not facing the road.
• Alcohol Detection (Coming Soon): To be integrated using sensors or equivalent module.
• Audio Alerts: Raises alarm when signs of drowsiness or inattention are detected.

Modules

• main.py: Main control loop integrating all modules.
• authentication.py: Face recognition and identity verification.
• head_pose_estimation.py: Detects head orientation using 3D face landmarks.
• drowsiness_detection.py: Analyzes eyes and mouth for drowsiness signs.
• utility.py: Contains helper functions for drawing, audio, camera handling, etc.

Setup

Requirements

• Python 3.7+
• Install dependencies:

pip install -r requirements.txt

Additional Files

• Place known driver images in a known_faces/ directory.
• Ensure authentication.mp3 and emergency-alarm.mp3 exist in the root or assets/ folder.

Run the Application

python main.py

Future Improvements

• Integrate alcohol detection using hardware sensor input.
• Upload alerts/logs to a cloud dashboard.
• GPS and speed tracking integration.
• Mobile app notification system.

License

Licensed under the MIT License