02328nam a2200277 a 4500 vtls000054942 KUKTEM 20251114204505.0 110721t2010 my a f m 000 0 eng d THE0005958(Local) 201905141528 aida 201107210754 ida UMP TA1637 .A55 2010 rs Bc. Ani Syazana Jasni Drowsiness detection for car assisted driver system using image processing analysis / Ani Syazana Jasni Drowsiness detection for car assisted driver system using image processing analysis [computer file] Kuantan, Pahang : UMP, 2010 xi, 46 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010 Bibliography : p. 42-43 The current technology in digital computer system allows researchers around the world to study the fatigue behavior. Although the current technology of drowsiness detector has been created, it is lack of efficient since the detection is used ordinary sensor. This project is to develop a driver drowsiness detection system by using histogram analysis. It is known that a driver is under drowsiness influences by looking at the eyelid. Based on the previous research, there is none used histogram for analysis. The result can be not accurate because histogram analysis analyzed the whole image. Therefore, if the analysis area is not specified, the result will be not accurate and efficient. The retina movement shows the fatigue level of the driver. For example, if the driver’s eyes are closed about more than 5 seconds in the last 60 seconds, the driver considered as drowsiness. Based on the fact that driver’s eye movement can be used to recognize the level of drowsiness, a sensor can be developing by using image processing analysis in MATLAB. The image processing analysis that will be used is histogram analysis. This system will be developing only on software part Image processing Drowsiness Physiological aspects Human face recognition (Computer science) 0 0 0 1 20000 20000 2019-09-04 0 TA1637 .A55 2010 rs Bc. 0000058310 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 5355 | TA1637 .A55 2010 rs Bc. 0000058311 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2933 2939 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992