Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
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10361-100372019-09-30T04:35:59Z Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring Habiba, Umme Saira Ahmed, Shafinaz Nadia Angkan, Prithila Sahad, Md Arman Noor Azad, Dr A. K. M. Abdul Malek Department of Electrical and Electronic Engineering, BRAC University Blink detection Health This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. Catalogued from PDF version of thesis. Includes bibliographical references (page 50-52). Road accidents are a common phenomenon in our daily lives. Each year these road accidents led to many deaths, fatal injuries and economic losses all over the world. One of the major reasons of these accidents is the drowsiness of drivers. Thus, it is necessary to develop a method to detect the driver’s drowsiness to reduce the accident rates. This paper describes a research and project development to detect the drowsiness of drivers. A device was developed that uses two methods to detect the drowsiness. One method was to use the heart beat sensor to check if the heartbeat lies within the threshold value range. The other method was to detect the eye blinking using image processing to check the eyelid’s position. The output of both the methods is given as input to the Raspberry Pi. The output from the device is connected to a buzzer that buzzes if the device detects that the driver is drowsy. The final system was implemented and it quite efficiently monitors and detects the driver’s fatigue. Umme Saira Habiba Shafinaz Nadia Ahmed Prithila Angkan Md Arman Noor Sahad B. Electrical and Electronic Engineering 2018-05-08T09:03:31Z 2018-05-08T09:03:31Z 2018 2018 Thesis ID 14221001 ID 14221002 ID 14221012 ID 14221026 http://hdl.handle.net/10361/10037 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 62 pages application/pdf BRAC Univeristy |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Blink detection Health |
spellingShingle |
Blink detection Health Habiba, Umme Saira Ahmed, Shafinaz Nadia Angkan, Prithila Sahad, Md Arman Noor Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring |
description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. |
author2 |
Azad, Dr A. K. M. Abdul Malek |
author_facet |
Azad, Dr A. K. M. Abdul Malek Habiba, Umme Saira Ahmed, Shafinaz Nadia Angkan, Prithila Sahad, Md Arman Noor |
format |
Thesis |
author |
Habiba, Umme Saira Ahmed, Shafinaz Nadia Angkan, Prithila Sahad, Md Arman Noor |
author_sort |
Habiba, Umme Saira |
title |
Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring |
title_short |
Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring |
title_full |
Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring |
title_fullStr |
Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring |
title_full_unstemmed |
Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring |
title_sort |
embedded real time blink detection system with heart rate sensing for driver fatigue monitoring |
publisher |
BRAC Univeristy |
publishDate |
2018 |
url |
http://hdl.handle.net/10361/10037 |
work_keys_str_mv |
AT habibaummesaira embeddedrealtimeblinkdetectionsystemwithheartratesensingfordriverfatiguemonitoring AT ahmedshafinaznadia embeddedrealtimeblinkdetectionsystemwithheartratesensingfordriverfatiguemonitoring AT angkanprithila embeddedrealtimeblinkdetectionsystemwithheartratesensingfordriverfatiguemonitoring AT sahadmdarmannoor embeddedrealtimeblinkdetectionsystemwithheartratesensingfordriverfatiguemonitoring |
_version_ |
1814309483054104576 |