01873nam a2200229 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002100109245013300130246013100263260003400394300006400428502010600492504002800598520091200626650002101538650003801559650004601597vtls000054804KUKTEM20251114204438.0110718t2010    my a   f m    000 0 eng d  aTHE0005966(Local)  aUMP1 aHuong, Nice Quan10aDrowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware /cHuong Nice Quan3 aDrowsiness detection for car assisted driver system using image processing analysis-interfacing with hardwareh[computer file]  aKuantan, Pahang :bUMP,c2010  axiv, 64 p. :bill. (some col.) ;c30 cm. +e1 computer disc  aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010  aBibliography : p. 59-603 aThe 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 0aImage processing 0aDrowsinessxPhysiological aspects 0aHuman face recognition (Computer science)