An Iot Based Intelligent Embedded Controlling For Mishap Counteractive Action System for Transportation

Abstract

Certainly, road accidents can be avoided by understanding the psychological state of drivers. Most of the road accidents are occurred during night driving. The sleepiness state of vehicle drivers (subject) is the cause for road accidents. Eye Blink Monitoring System (EBM) is presented to avoid road accidents. This EBM system provides the subject to alert during the state of drowsiness. The psychological state of the subject can be determined by the monitoring the subject by using IR sensor for eye blink rate and an accelerometer is used for head movement. A normal rate of eye blink has no effect on the resultant of the system. An Internet of Things (IOT) allowed the sensors are used to transmit the entire data collected by sensors over a smart grid network for quick response team to take actions in the emergency conditions.