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dc.contributor.advisorAzad, Dr A. K. M. Abdul Malek
dc.contributor.authorHabiba, Umme Saira
dc.contributor.authorAhmed, Shafinaz Nadia
dc.contributor.authorAngkan, Prithila
dc.contributor.authorSahad, Md Arman Noor
dc.date.accessioned2018-05-08T09:03:31Z
dc.date.available2018-05-08T09:03:31Z
dc.date.copyright2018
dc.date.issued2018
dc.identifier.otherID 14221001
dc.identifier.otherID 14221002
dc.identifier.otherID 14221012
dc.identifier.otherID 14221026
dc.identifier.urihttp://hdl.handle.net/10361/10037
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.en_US
dc.descriptionCatalogued from PDF version of thesis.
dc.descriptionIncludes bibliographical references (page 50-52).
dc.description.abstractRoad 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.en_US
dc.description.statementofresponsibilityUmme Saira Habiba
dc.description.statementofresponsibilityShafinaz Nadia Ahmed
dc.description.statementofresponsibilityPrithila Angkan
dc.description.statementofresponsibilityMd Arman Noor Sahad
dc.format.extent62 pages
dc.language.isoenen_US
dc.publisherBRAC Univeristyen_US
dc.rightsBRAC 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.
dc.subjectBlink detectionen_US
dc.subjectHealthen_US
dc.titleEmbedded real time blink detection system with heart rate sensing for driver fatigue monitoringen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeB. Electrical and Electronic Engineering


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