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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| Format: | Student Project |
| Language: | English |
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Faculty of Computer Science and Mathematics
2006
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/723/ |
| _version_ | 1848802387919110144 |
|---|---|
| author | Ibrahim, Endratno |
| author_facet | Ibrahim, Endratno |
| author_sort | Ibrahim, Endratno |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:22:33Z |
| format | Student Project |
| id | uitm-723 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:22:33Z |
| publishDate | 2006 |
| publisher | Faculty of Computer Science and Mathematics |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-7232018-11-03T02:14:13Z https://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 https://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. (2006) [Student Project] (Unpublished) |
| spellingShingle | Electronic Computers. Computer Science Ibrahim, Endratno Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim |
| title | 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_short | Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim |
| title_sort | driver drowsiness detection using back-propagation neural network / endratno ibrahim |
| topic | Electronic Computers. Computer Science |
| url | https://ir.uitm.edu.my/id/eprint/723/ |