Sak, Jenn Shin (2015) Night vision camera system for intruder detection in indoor and outdoor environment. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang.
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Abstract
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.
Item Type: | Undergraduates Project Papers |
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Additional Information: | Project Paper (Bachelor of Mechatronic Engineering) -- Universiti Malaysia Pahang – 2015, SV: DR. NG LIANG SHING, NO. CD: 8510 |
Uncontrolled Keywords: | Night vision camera; Image; Linux environment; Webcam |
Subjects: | T Technology > T Technology (General) T Technology > TS Manufactures |
Faculty/Division: | Faculty of Manufacturing Engineering |
Depositing User: | Ms. Nurezzatul Akmal Salleh |
Date Deposited: | 07 Jun 2016 00:09 |
Last Modified: | 18 Oct 2023 03:50 |
URI: | http://umpir.ump.edu.my/id/eprint/13171 |
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