Driver Drowsiness Detection System 🚗💤

Overview

An AI-based real-time monitoring system that detects driver fatigue using Deep Learning and Computer Vision. The system analyzes eye movements through a camera and identifies whether the driver is alert or drowsy to improve road safety.

Features

Real-time eye monitoring
Open/Closed eye classification
CNN-based drowsiness detection
Alert generation for fatigue detection

Technologies Used

Python
OpenCV
TensorFlow & Keras
CNN
NumPy

Working

Captures real-time images using a camera.
Detects face and eye regions using OpenCV.
CNN model classifies eye state as open or closed.
Detects prolonged eye closure and identifies drowsiness.

Dataset

Trained on 11,000+ eye images for accurate eye-state classification.

Future Scope

Voice alert integration
IoT-based vehicle monitoring
Mobile application deployment

Project images