Open AccessInternet of Things based Driver Exhaustion Detection System using Distributed Sensor Network
Author(s) -
Robbi Rahim
Publication year - 2020
Publication title -
international journal on recent and innovation trends in computing and communication
Language(s) - English
Resource type - Journals
ISSN - 2321-8169
DOI - 10.17762/ijritcc.v8i4.5423
Subject(s) - gsm , computer science , measure (data warehouse) , real time computing , internet of things , global positioning system , automotive engineering , event (particle physics) , simulation , computer security , telecommunications , engineering , data mining , physics , quantum mechanics
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.