😴 Drowsy Driver Detection System

A real-time driver monitoring system that detects drowsiness and sleepiness using computer vision and triggers an alert to prevent accidents! 🚗⚠️

🔹 Key Features

👀 Eye Blink Detection: Tracks eye landmarks using Dlib and OpenCV.

⏱ Real-time Monitoring: Continuously analyzes driver’s face through webcam.

🔔 Audio Alerts: Plays sound alerts for drowsy or sleeping states.

📊 Driver Status: Classifies driver as Active, Drowsy, or Sleeping with visual cues.

🎯 Accurate Detection: Uses blink ratio thresholds to detect fatigue reliably.

🛠 Tech Stack

• Language: Python

• Libraries: OpenCV, Dlib, NumPy, Imutils, SimpleAudio

• Models: shape_predictor_68_face_landmarks.dat (facial landmarks)

🚀 How to Run

• Clone this repository.

• Install required packages: pip install opencv-python dlib imutils numpy simpleaudio

• Download shape_predictor_68_face_landmarks.dat and place it in the project folder.

• Run the script: python drowsy_driver_detection.py

• Look into the webcam and see real-time status updates and audio alerts.

📚 References

• Dlib Facial Landmark Detection
• OpenCV Documentation
• SimpleAudio Python Library