Open AccessDriver Attention Monitoring System using IBM Cloud
Author(s) -
Sho T.,
Raj Pradeesh T,
M.Mohan Kumar,
K. G. Preetha
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f4633.049620
Subject(s) - cloud computing , computer science , supply chain , computer security , event (particle physics) , heavy duty , business , risk analysis (engineering) , automotive engineering , engineering , marketing , operating system , physics , quantum mechanics
With online shopping and many logistic companies on the rise, a single accident can incur heavy loss to the supply chain department and not only disrupts the flow of the supply chain, but also causes injury to life and damage to property. These accidents occur primarily due to driving while feeling distracted or drowsy and it is paramount to monitor such behavior to avoid drastic outcomes in case of driving heavy duty vehicles. Therefore, it is natural for logistic companies to invest in securing their goods and ensuring that there is safe transportation of goods. The objective of our paper is to provide a novel solution to handle the aforementioned problems by monitoring the driver’s performance by analysing the facial features of the driver in real-time while storing the event-triggered data in the cloud and using the cloud services to send mobile alerts when the driver is drowsy or distracted via a mobile application in a cost effective and in an efficient manner.