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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIREB06075

Page Number

598-605

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Title

Driver Fatigue Detection System with Mobile Notification Alarm

ISSN

2349-5162

Cite This Article

"Driver Fatigue Detection System with Mobile Notification Alarm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.598-605, December 2018, Available :http://www.jetir.org/papers/JETIREB06075.pdf

Abstract

This paper presents a sturdy and non-invasive method for detecting the real-time driver’s drowsiness and enervation and monitoring the proposed significant schemes and system for preventing deadly road accidents. As the population grows it identifies to be directly proportional to the number of accidents which then becomes an important source to implement the implications for accident prevention safety. The proposed strategy is to enforce and monitor the facial landmark localization points to extract the eye outlines and the mouth corner regions from the detection of the camera fixed upright in front of driver supporting the SVM (support vector machine) face real detector machine. The approach towards the paper is to save the driver from being crushed by the analysis which aims to detect the Euclidean distance between the facial landmark points when eyelids of the driver comes closer and further the analysis of fatigue is also monitor with the help of yawning method of detection and we implement the exact proposed real-time implication as in case of eye-detection analysis technique. This system runs and falls under the natural lighting state and there is no hindrance with any driver’s accessories like caps and hearing aids, etc. The comprehensive analysis for addition detection of prevention of accident can be monitored through the continuous popped up notifications that the drowsy driver’s closed ones will receive when the driver is in the condition of fatigue with robust alarm system installed in the vehicle as well. This system can be analyzed by the driver’s closed one as testing can be executed by tapping the received secured QR code that can be easily scanned with a mobile application showing the behaviour of human-machine interaction method. We are using the application of machine vision and Image processing for this purpose with the use of OpenCV, Scipy package, dlib, Python, and ML to implement and run our algorithm. Finally in the case of detection of drowsiness the fusion of state of the driver is regulated and a notification with warning message is popped up to the closed ones. The state of our tests and experiments will propagate to identify the high effective accurate results of the proposed agenda.

Key Words

Face detection, Face tracking, Yawning analysis system, Sleep fatigue, Drowsiness notifications.

Cite This Article

"Driver Fatigue Detection System with Mobile Notification Alarm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp598-605, December 2018, Available at : http://www.jetir.org/papers/JETIREB06075.pdf

Publication Details

Published Paper ID: JETIREB06075
Registration ID: 233696
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 598-605
ISSN Number: 2349-5162

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Cite This Article

"Driver Fatigue Detection System with Mobile Notification Alarm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp598-605, December 2018, Available at : http://www.jetir.org/papers/JETIREB06075.pdf




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