Driver Safety -Iot Based Driver Gaze Tracking & Health Monitoring System

Abstract

Driver Safety - Fatal Road accidents can be easily avoided by understanding the psychological state of drivers. Majority of road accidents occur during night driving due to drowsiness state of vehicle drivers (Subject). The proposed work monitors Eye Blink Monitoring System (EBM) that alerts the subject during state of drowsiness. This physiological sleep state analysis of subject can be determined by monitoring subject’s eye blink rate using an Open CV Library. A normal eye blink rate has no effect on the output of the system. However, subject is in extreme state of sleep cycle, then it will click picture of subject and send to web application, where administer is monitoring and send the message that will be converted into alarm is initiated to wake the subject. For Health Monitoring of driver we are making wearable device which will give the heart beat and body temperature of subject, so before boarding to vehicle admin should know the status of subject. For the proposed system the authors have used Bluetooth Technology to send sensor data to a Smartphone and also to web application for archiving and analysis. The information available on the web application can be supervised by the subject by using a Mobile application. Real tracking of driver will also track with mobile GPS.