Drowsiness Detection System
AI-Powered Safety for Every Journey
Overview
A real-time safety system that uses computer vision to monitor driver alertness, detecting signs of fatigue and providing immediate audio-visual warnings.
The Challenge
Driver fatigue is a leading cause of accidents. The goal was to create a non-intrusive, low-cost detection system that works in real-time on standard hardware.
The Solution
We used Python and OpenCV with MediaPipe for facial landmark detection. By calculating the Eye Aspect Ratio (EAR) in real-time, the system triggers alerts when eyes remain closed for a threshold period.