AI-Powered Driver Drowsiness Detection System for Augmented Road Safety

Drowsiness and fatigue are among the top factors that are considered to contribute to car accidents, causing 1.3 million deaths per year. The Advanced Drowsiness Detection System aims at reducing the overall number of different types of accidents on the road as well as fatigue that results in a driver dozing off the above framework is achieved through facial landmark detection. This system employs image recognition techniques to detect drowsiness from the face using face recognition technique. It detects and tracks the driver’s face and eyes to compute the Eye Aspect Ratio (EAR), a validated measure for drowsiness detection. This system reduces fatalities and improves road safety by detecting driver drowsiness using Driving Behaviour Analysis (DBA). This system aims to enhance the support for safer transport and mistake-free driving or operation resulting from driver drowsiness.