Drowsy Driving: A Look at the Monitoring and Detection System

Authors : Okeke, Ogochukwu C; Okonkwo Chinonso J

Volume/Issue : Volume 6 - 2021, Issue 3 - March

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/31YOnQl

The rate at which cars and other motor vehicle related accidents have increased in recent years is becoming mind bulging and fearful and majority of these mishaps are drowsy driver related. This has resulted in the loss of lives, goods and properties etc. The essence of this analysis is to study and review the previous works on drowsy driving related accidents, their causes and measures taken. The gaps in these studies were noted in order to propose and design a new or a robust system. This was achieved using various techniques such as image acquisition, computer vision, face detection, feature extraction, training and classification. The techniques were designed using universal modeling diagram and mathematical modeling approach based on the requirements for object oriented analysis design methodology adopted for the study. The designs were implemented as a prototype system using MATHLAB and tested with real time driving behaviors.

Keywords : Drowsy-Driving, Mathlab, Computer Vision, Face Detection, Image Acquisition.


Paper Submission Last Date
31 - May - 2022

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