000 02108nam a2200277 a 4500
001 vtls000054804
003 KUKTEM
005 20251114204438.0
008 110718t2010 my a f m 000 0 eng d
020 _aTHE0005966(Local)
039 9 _a201905141615
_baida
_y201107181226
_zida
040 _aUMP
090 _aTA1637 .H86 2010 rs Bc.
100 1 _aHuong, Nice Quan
245 1 0 _aDrowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware /
_cHuong Nice Quan
246 3 _aDrowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
_h[computer file]
260 _aKuantan, Pahang :
_bUMP,
_c2010
300 _axiv, 64 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
504 _aBibliography : p. 59-60
520 3 _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
650 0 _aImage processing
650 0 _aDrowsiness
_xPhysiological aspects
650 0 _aHuman face recognition (Computer science)
999 _aVIRTUA40
_c2177
_d2183
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992