Internet of Things based Driver Exhaustion Detection System using Distributed Sensor Network

Abstract

Accidents involving vehicles occur almost every day. Most of the accidents are caused due to exhaustion of driver’s consciousness but this cause goes almost unreported due to the absence of systems to detect the fatigue. Techniques to measure driver fatigue can be invasive or non-invasive. All in all, driver-related information uncover a more grounded relationship to the driver's carefulness level than vehicle-related ones, which experience the ill effects of a bigger affectability to outer parameters, for example, street and traffic conditions. A measure of the amount of grip that the driver applies on the steering wheel is a more direct and non-invasive measure of his fatigue. An alcohol sensor when added to this system can further be used to check if the variation in grip is due to the effect of alcohol. A suitable algorithm is developed to confirm the occurrence of driver fatigue. The GSM and the GPS units attached to the system can be useful in notifying the control room in the event of driver fatigue. This project can be very useful in detecting fatigues in drivers associated with vehicle fleets using IoT.