Driver Drowsiness & Vehicle Security System

Abstract

Fatigue and drowsiness of drivers are among the primary causes of road accidents. They cause a rise in the number of fatalities and injuries worldwide each year. The purpose of this research is to use an Advanced Driver Assistance System (ADAS) to decrease the number of accidents related to weariness and thereby improve transportation safety. This system employs machine learning and visual data to automatically detect driver drowsiness. The driver’s eye and face movements, which indicate sleepiness when the eyelids close slowly, can be tracked and analyzed by our system.Vehicle security is ensured by this method.