DRIVER DROWSINESS DETECTION BY USING WEBCAM
Drowsiness and fatigue are one of the main causes leading to road accidents. They can be prevented by taking effort to get enough sleep before driving, drink coffee or energy drink, or have a rest when the signs of drowsiness occur. The popular drowsiness detection method uses complex methods, such...
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Universiti Teknologi Petronas
2013
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| Online Access: | http://utpedia.utp.edu.my/13469/1/badiuzaman.pdf http://utpedia.utp.edu.my/13469/ |
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my-utp-utpedia.134692017-01-25T09:38:12Z http://utpedia.utp.edu.my/13469/ DRIVER DROWSINESS DETECTION BY USING WEBCAM BAHARU, BADIUZAMAN TK Electrical engineering. Electronics Nuclear engineering Drowsiness and fatigue are one of the main causes leading to road accidents. They can be prevented by taking effort to get enough sleep before driving, drink coffee or energy drink, or have a rest when the signs of drowsiness occur. The popular drowsiness detection method uses complex methods, such as EEG and ECG. This method has high accuracy for its measurement but it need to use contact measurement and it has many limitations on driver fatigue and drowsiness monitor [18]. Thus, it is not comfortable to be used in real time driving. This paper proposes a way to detect the drowsiness signs among drivers by measuring the eye closing rate and yawning. Universiti Teknologi Petronas 2013-12 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/13469/1/badiuzaman.pdf BAHARU, BADIUZAMAN (2013) DRIVER DROWSINESS DETECTION BY USING WEBCAM. Universiti Teknologi Petronas. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering BAHARU, BADIUZAMAN DRIVER DROWSINESS DETECTION BY USING WEBCAM |
| description |
Drowsiness and fatigue are one of the main causes leading to road accidents. They can be prevented by taking effort to get enough sleep before driving, drink coffee or energy drink, or have a rest when the signs of drowsiness occur. The popular drowsiness detection method uses complex methods, such as EEG and ECG. This method has high accuracy for its measurement but it need to use contact measurement and it has many limitations on driver fatigue and drowsiness monitor [18]. Thus, it is not comfortable to be used in real time driving. This paper proposes a way to detect the drowsiness signs among drivers by measuring the eye closing rate and yawning. |
| format |
Final Year Project |
| author |
BAHARU, BADIUZAMAN |
| author_facet |
BAHARU, BADIUZAMAN |
| author_sort |
BAHARU, BADIUZAMAN |
| title |
DRIVER DROWSINESS DETECTION BY USING WEBCAM |
| title_short |
DRIVER DROWSINESS DETECTION BY USING WEBCAM |
| title_full |
DRIVER DROWSINESS DETECTION BY USING WEBCAM |
| title_fullStr |
DRIVER DROWSINESS DETECTION BY USING WEBCAM |
| title_full_unstemmed |
DRIVER DROWSINESS DETECTION BY USING WEBCAM |
| title_sort |
driver drowsiness detection by using webcam |
| publisher |
Universiti Teknologi Petronas |
| publishDate |
2013 |
| url |
http://utpedia.utp.edu.my/13469/1/badiuzaman.pdf http://utpedia.utp.edu.my/13469/ |
| _version_ |
1739831900225142784 |
| score |
13.159267 |