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.

Detalles Bibliográficos
Main Authors: Habiba, Umme Saira, Ahmed, Shafinaz Nadia, Angkan, Prithila, Sahad, Md Arman Noor
Outros autores: Azad, Dr A. K. M. Abdul Malek
Formato: Thesis
Idioma:English
Publicado: BRAC Univeristy 2018
Subjects:
Acceso en liña:http://hdl.handle.net/10361/10037
id 10361-10037
record_format dspace
spelling 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
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AT ahmedshafinaznadia embeddedrealtimeblinkdetectionsystemwithheartratesensingfordriverfatiguemonitoring
AT angkanprithila embeddedrealtimeblinkdetectionsystemwithheartratesensingfordriverfatiguemonitoring
AT sahadmdarmannoor embeddedrealtimeblinkdetectionsystemwithheartratesensingfordriverfatiguemonitoring
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