Proactive Integrated Detection of Eye Blinking & Yawning to identify Sleepy Driver and Alert based Auto-Braking System for Speed Control

Authors(3) :-Durgaa Chandrakala E, Fathima Nazlunsithara R, Saraswathi M

Automotive vehicles are increasingly being equipped with accident avoidance and warning systems for avoiding the external collision with an object, such as a vehicle or a human. Upon detecting a main factor, the system will start an action to avoid the collision and/or provide a warning to the vehicle operator. In this paper a complete accident avoidance system is proposed by determining the driver’s behavior. The main cause of vehicle accident is related to a main human factor, which is drowsiness. The aim of the proposed system is to help in analyzing the factors associated with driver’s behavior for the development of accident avoidance systems. The main causes of the vehicle accidents, coined in the tracking of the driver fatigue with the help of our system, will help the driver to avoid risky situations. In this project we are implementing two image processing tool to get the facial geometry based eye region detection for eye blinking calculation, combined tracking of mouth for yawning detection. Inside an ego vehicle, frequencies of eye blinking and eye closure and yawning frequencies are used as the indication of sleepy driver and warning sign is then generated for recommendation; Outside an ego vehicle, Ultrasonic sensor is used to measure distance in front of cars and auto-braking system is applied during unsuccessful drowsiness alert and also during brake failure situations.

Authors and Affiliations

Durgaa Chandrakala E
Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Fathima Nazlunsithara R
Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Saraswathi M
Department of Computer Science and Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India

computer vision, eye and mouth region detection, yawning and eye blinking detection, auto-brake.

 [1] Kartik Dwivedi1, Kumar Biswaranjan2,Amit Sethi3,” Drowsy Driver Detection using RepresentationLearning” Department of Electronics and Electrical Engineering,            Indian Institute of Technology, Guwahati, India{k.dwivedi, k.biswaranjan, amitsethi}@iitg.ernet.in

[2] Lunbo Xu, Shunyang Li, Kaigui Bian, Tong Zhao, Wei Yan, “Sober-Drive: A Smartphone-assisted Drowsy Driving Dettection System”, Institute of Network                        Computing and Information Systems School of EECS, Peking University, Beijing, China 100871{alexander818, 00948318, bkg, zhaotong, w}@pku.edu.cn

[3] "Drowsy driver detection" project by Ronen Nissim andMarkGreenbergSupervised by Dori Peleg

Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 107-110
Manuscript Number : IJSRSET152236
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Durgaa Chandrakala E, Fathima Nazlunsithara R, Saraswathi M, " Proactive Integrated Detection of Eye Blinking & Yawning to identify Sleepy Driver and Alert based Auto-Braking System for Speed Control, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.107-110, March-April.2015
URL : http://ijsrset.com/IJSRSET152236

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