Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim

Faces as the primary part of human communication have been a research target in a computer vision over a few decades. This project focuses on the development of Back propagation neural network for driver drowsiness detection based on eyes state (open and close). It uses a CCD camera equipped w...

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Main Author:	Ibrahim, Endratno
Format:	Student Project
Language:	English
Published:	Faculty of Computer Science and Mathematics 2006
Subjects:	Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/723/ http://ir.uitm.edu.my/id/eprint/723/1/PPb_ENDRATNO_BIN_IBRAHIM%20CS%2006_5%20P01%20.pdf

id	uitm-723
recordtype	eprints
spelling	uitm-7232018-11-03T02:14:13Z http://ir.uitm.edu.my/id/eprint/723/ Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim Ibrahim, Endratno Electronic computers. Computer science Faces as the primary part of human communication have been a research target in a computer vision over a few decades. This project focuses on the development of Back propagation neural network for driver drowsiness detection based on eyes state (open and close). It uses a CCD camera equipped with an active IR illuminator to acquire images of the driver. Then the images sequence will be process offline to determine the drowsiness. This project will provides the confirmation that back propagation is suitable for this type of system. There are two important phases that were focused in this system development. The phases are pre-processing phases and neural network design phase. Every phase has a several sub processes and the network parameter are the predetermine values in the training process. Several suggestions and recommendations are proposed to enhance the detection presence and performance. Faculty of Computer Science and Mathematics 2006 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/723/1/PPb_ENDRATNO_BIN_IBRAHIM%20CS%2006_5%20P01%20.pdf Ibrahim, Endratno (2006) Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science
spellingShingle	Electronic computers. Computer science Ibrahim, Endratno Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
description	Faces as the primary part of human communication have been a research target in a computer vision over a few decades. This project focuses on the development of Back propagation neural network for driver drowsiness detection based on eyes state (open and close). It uses a CCD camera equipped with an active IR illuminator to acquire images of the driver. Then the images sequence will be process offline to determine the drowsiness. This project will provides the confirmation that back propagation is suitable for this type of system. There are two important phases that were focused in this system development. The phases are pre-processing phases and neural network design phase. Every phase has a several sub processes and the network parameter are the predetermine values in the training process. Several suggestions and recommendations are proposed to enhance the detection presence and performance.
format	Student Project
author	Ibrahim, Endratno
author_facet	Ibrahim, Endratno
author_sort	Ibrahim, Endratno
title	Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
title_short	Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
title_full	Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
title_fullStr	Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
title_full_unstemmed	Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
title_sort	driver drowsiness detection using back-propagation neural network / endratno ibrahim
publisher	Faculty of Computer Science and Mathematics
publishDate	2006
url	http://ir.uitm.edu.my/id/eprint/723/ http://ir.uitm.edu.my/id/eprint/723/1/PPb_ENDRATNO_BIN_IBRAHIM%20CS%2006_5%20P01%20.pdf
first_indexed	2023-09-18T22:44:56Z
last_indexed	2023-09-18T22:44:56Z
_version_	1777417161610887168

Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim

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