02108nam a2200277 a 4500 vtls000054804 KUKTEM 20251114204438.0 110718t2010 my a f m 000 0 eng d THE0005966(Local) 201905141615 aida 201107181226 ida UMP TA1637 .H86 2010 rs Bc. Huong, Nice Quan 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 [computer file] 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 Image processing Drowsiness Physiological aspects Human face recognition (Computer science) 0 0 0 1 20000 20000 2019-09-04 0 TA1637 .H86 2010 rs Bc. 0000058438 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 5395 | TA1637 .H86 2010 rs Bc. 0000058439 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2177 2183 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992