01984nmm a2200313 a 4500 vtls000098371 KUKTEM 20251117113325.0 161209s2016 my fq d 001 0 eng d THE0005064(Local) 201905101513 hanafiah 201712191239 saini 201612091141 saini UMP FKP .T365 2016 r Bc. CD 10391 Tan, Kai Yang Intruder detection using histogram and edge detection algorithms [electronic resource] / Tan Kai Yang Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Manufacturing Engineering Theses Gred A Project Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016 Nowadays, night vision technology enables a person to be seen in the dark. In the past, night vision was implemented by making use of the infrared spectrum of electromagnetic waves and devices such as image intensifiers. With the growing popularity of digital computing, many digital image processing techniques have been proposed to implement night vision. These techniques can enhance the images captured by ordinary cameras under low light conditions and can be implemented completely in software. 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 position in low light condition. Item in pdf format Faculty of Manufacturing Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/4001 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKP .T365 2016 r Bc. | CD 10391 0000115906 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6736 6742 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*8560*9992