TY  - BOOK
AU  - Huong,Nice Quan
TI  - Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
SN  - THE0005966(Local)
PY  - 2010///
CY  - Kuantan, Pahang
PB  - UMP
KW  - Image processing
KW  - Drowsiness
KW  - Physiological aspects
KW  - Human face recognition (Computer science)
N1  - Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010; Bibliography : p. 59-60
N2  - 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
ER  -