DROWSINESS DETECTION USING IMAGE PROCESSING

The Drowsiness Detection System is designed to identify driver fatigue using image processing techniques. A camera continuously captures facial images, and the visual data is processed using image processing algorithms to monitor eye closure and facial movements. When signs of drowsiness are detected, the system generates alert notifications to warn the driver. This helps reduce accident risks caused by fatigue. This project uses a camera module, SBC, image processing algorithms, and embedded programming, making it suitable for road safety and driver assistance applications.