01819ntm a2200289 a 4500 vtls000094248 KUKTEM 20251117113318.0 160404t2015 my a f 000 0 eng d THE0005359(Local) 201905151206 hanafiah 201711301427 fateeha 201604041647 huda UMP FKP .J46 2015 r Bc. Sak, Jenn Shin Night vision camera system for intruder detection in indoor and outdoor environment / Sak Jenn Shin Kuantan, Pahang : UMP, 2015 xiv, 36 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Faculty of Manufacturing Engineering Project Paper (Bachelor of Mechatronic Engineering) -- Universiti Malaysia Pahang – 2015 Bibliography: p. 30 This project presents the detection of intruder existence by using a night vision camera system in indoor and outdoor environment. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed distance in low light condition. The histogram is generated to show the tonal variations and distribution of every frame of the images. Intruders can be detected by detecting the changes occur in the foreground image and the changes of histogram from the real-time video streaming through the webcam. Faculty of Manufacturing Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/26021 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKP .J46 2015 r Bc. 0000108179 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 8510 | FKP .J46 2015 r Bc. 0000108180 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6543 6549 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992