🚗 Drive Aware Detection System

This project is an AI-powered driver monitoring system that detects drowsiness and dangerous emotions (anger, fear, sadness) in real time using a webcam. It combines MediaPipe FaceMesh and DeepFace for facial and emotional analysis, alerting drivers through sound warnings when unsafe conditions are detected.

⚙️ Features

👀 Drowsiness Detection: Uses Eye Aspect Ratio (EAR) to detect closed eyes or sleeping.

😠 Emotion Detection: Analyzes emotions and triggers alerts for anger, fear, or sadness.

🧍 Head Tracking: Alerts when driver’s face leaves the frame.

🔊 Audio Alerts: Plays alarm sound during drowsiness or emotional distress.

📊 On-Screen Status: Shows EAR, blink count, drowsy events, and emotional stability.

🧩 Requirements

Python 3.10

Install dependencies:

pip install opencv-python cvzone deepface pygame numpy mediapipe==0.10.0

Place nuclear-alarm-104598.mp3 in the same folder as test.py.

▶️ Run py -3.10 test.py

Press q to quit.

🧠 System Indicators Status Meaning ✅ Stable Normal emotion and alertness ⚠️ Monitoring Gathering data 🚨 Alert Drowsy or dangerous emotion detected ❌ No Face Driver not in frame 📋 Notes

Works best in good lighting with a visible face.

Requires a functioning webcam and microphone.

Adjustable parameters:

alert_threshold (default 0.6)

sleep_duration (default 3.0s)