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dc.contributor.advisorArif, Hossain
dc.contributor.authorChowdhury, Faiaz Hossain
dc.contributor.authorShetab, Muhtasim Al Buyes
dc.contributor.authorHaque, Quazi Mohimenul
dc.contributor.authorAli, MD. Nazif
dc.date.accessioned2021-10-21T06:58:44Z
dc.date.available2021-10-21T06:58:44Z
dc.date.copyright2021
dc.date.issued2021-01
dc.identifier.otherID 18201123
dc.identifier.otherID 17101092
dc.identifier.otherID 17101086
dc.identifier.otherID 17101437
dc.identifier.urihttp://hdl.handle.net/10361/15512
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 24-25).
dc.description.abstractDriving is a task that requires a high level of focus for the security of not just the person driving but also other drivers and passengers out on the road. Hence, it is a difficult task, as a human being might not be able to maintain this focus continuously for a lot of reasons such as drowsiness. Drowsiness is a reason for a lot of accidents that occur around the world, as a result car manufacturers and researchers are looking for solutions to decrease these accidents as much as possible. One key way of decreasing these types of accidents is by monitoring a driver’s eye to track whether a driver is drowsy or not. If a person is drowsy or is falling asleep, he/she will be alerted by means of sound. To solve this we approached this problem by setting up a camera on the driver’s dashboard and then conduct image processing by using OpenCV library to identify whether a driver is fully focused or not and whether it is safe enough for a driver to continue driving. Fortunately, a pre-trained Viola-Jones classifier comes out-of-the-box with OpenCV library. Where, The ViolaJones algorithm is a system for object recognition that enables real-time detection of image features. By going through four different phases this algorithm detects the face and tracks the eye really conveniently with an efficient accuracy rate. In ViolaJones algorithm two pre-processing techniques, along with the three functions, were evaluated and compared.en_US
dc.description.statementofresponsibilityFaiaz Hossain Chowdhury
dc.description.statementofresponsibilityMuhtasim Al Buyes Shetab
dc.description.statementofresponsibilityQuazi Mohimenul Haque
dc.description.statementofresponsibilityMD. Nazif Ali
dc.format.extent25 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_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.subjectDriver awarenessen_US
dc.subjectDrowsy drivingen_US
dc.subjectFace detectionen_US
dc.subjectViola-Jonesen_US
dc.subjectOpenCVen_US
dc.subject.lcshDrowsy driving
dc.titleMonitoring driver awareness through eye trackingen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


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