Overview

The Driver Monitoring System is an AI-powered application that detects driver fatigue in real time using a live camera. It identifies signs such as drowsiness, yawning, and excessive blinking and provides instant alerts to help prevent accidents.

Key Features

Real-time face monitoring using a webcam
Drowsiness detection using Eye Aspect Ratio (EAR)
Yawning detection using Mouth Aspect Ratio (MAR)
Excessive blink detection
Visual and voice alerts
Bilingual voice assistant (English & Hindi)

Technology Stack

Frontend: React.js
Backend: Flask (Python)
Libraries: OpenCV, MediaPipe, gTTS, Pygame

Working

The webcam continuously captures the driver's face. MediaPipe detects facial landmarks, while OpenCV processes the frames. The system calculates EAR and MAR values to determine fatigue levels. When abnormal behavior is detected, it immediately issues visual and voice warnings to keep the driver alert.

Outcome

The project demonstrates the use of Computer Vision, Machine Learning, and Full-Stack Development to build a practical solution that enhances road safety by reducing fatigue-related accidents.

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