Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware / Huong Nice Quan
Material type:
TextPublication details: Kuantan, Pahang : UMP, 2010Description: xiv, 64 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN: - THE0005966(Local)
- Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware [computer file]
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Final Year Report
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UMPLIB PEKAN | TA1637 .H86 2010 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000058438 | ||
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Final Year Report
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UMPLIB PEKAN | CD 5395 | TA1637 .H86 2010 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000058439 |
Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
Bibliography : p. 59-60
The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve safety on the highways. A method for detecting drowsiness/sleepiness in drivers is developed by using a camera that point directly towards the driver’s face and capture for the video. Once the video is captured, monitoring the face region and eyes in order to detect drowsy/fatigue. The system able to monitoring eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsy is detected, a warning signal is issued to alert the driver. It can determine a time proportion of eye closure as the proportion of a time interval that the eye is in the closed position. If the driver’s eyes are closed cumulatively more than a standard value, the system draws the conclusion that the driver is falling asleep, and then it will activate an alarm sound to alert the driver