Driver Drowsiness and Alcohol Detector With Real-Time GPS Tracking

Abstract

Driver drowsiness and alcohol consumption are major causes of road accidents worldwide. This paper presents an integrated driver safety system that combines real-time drowsiness detection and alcohol detection to prevent impaired driving. Computer vision techniques using OpenCV analyse facial features such as eye closure and yawning to identify driver fatigue, while an embedded alcohol sensor detects alcohol presence in the driver’s breath and restricts vehicle ignition when thresholds are exceeded. GPS and GSM modules provide location tracking and emergency alerts. The proposed system improves road safety through early detection and timely intervention and is suitable for intelligent transportation applications.