A LIGHTWEIGHT CNN-BASED ANDROID VISION SYSTEM FOR REAL-TIME DRIVER DROWSINESS DETECTION USING EYE-STATE ANALYSIS
Driver drowsiness remains one of the leading causes of road traffic accidents worldwide, as fatigue significantly impairs a driver's alertness, reaction time, and decision-making ability. Existing drowsiness detection approaches often require specialized hardware or computationally intensive models that limit their dep...