Driver Drowsiness Detection System

The Driver Drowsiness Detection System is an AI-based application developed to improve road safety by detecting signs of driver fatigue in real time. The system uses a webcam to continuously monitor the driver's face and eyes. With the help of OpenCV for face and eye detection and a pre-trained Convolutional Neural Network (CNN) for eye-state classification, it determines whether the driver's eyes are open or closed.

A drowsiness score is calculated based on continuous eye closure. When the score exceeds a predefined threshold, the system triggers an audible alarm to alert the driver and help prevent fatigue-related accidents. The application also displays a live dashboard showing eye status, driver status, confidence level, head direction, and FPS, providing real-time monitoring and feedback.

This low-cost, real-time solution requires only a standard webcam and can be integrated into vehicles to enhance driver safety and reduce the risk of road accidents caused by drowsiness.

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