Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware /
Huong, Nice Quan
Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware / Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware [computer file] Huong Nice Quan - Kuantan, Pahang : UMP, 2010 - xiv, 64 p. : ill. (some col.) ; 30 cm. + 1 computer disc
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
THE0005966(Local)
Image processing
Drowsiness--Physiological aspects
Human face recognition (Computer science)
Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware / Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware [computer file] Huong Nice Quan - Kuantan, Pahang : UMP, 2010 - xiv, 64 p. : ill. (some col.) ; 30 cm. + 1 computer disc
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
THE0005966(Local)
Image processing
Drowsiness--Physiological aspects
Human face recognition (Computer science)