Online ISSN: 2515-8260

IOT Based Driver Drowsiness Detection and Health Monitoring System

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Sathish Kumar.R1 , Nivedha.K2 , Anitha.K3 , Jayaprakash.D

Abstract

This guide discusses driver somnolence and fatigue-related safety criteria. FatigueDriver exhaustion is usually a very severe issue in many thousand bridge crashes a year. The exact number of accidents can not be calculated due to sleepiness, but research shows that 20% of accidents occur only through fatigue (rospa).This platform gives the Eye-Blink Surveillance System USB camera and provides a buzzer that warns the driver during a state of sleep. Driver health monitor is provided through a wearable heart beat sensor, temperature sensor, by means of the proposed web application design manager will check system parameters and send a message to his college colleague. The alcohol indicator is used to measure the drug level of a driver and the pace of the car reduces if this condition occurs.

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