Night vision camera system for intruder detection in indoor and outdoor environment

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...

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Bibliographic Details
Main Author: Sak, Jenn Shin
Format: Undergraduates Project Papers
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/13171/
http://umpir.ump.edu.my/id/eprint/13171/1/Night%20vision%20camera%20system%20for%20intruder%20detection%20in%20indoor%20and%20outdoor%20environment.pdf
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author Sak, Jenn Shin
author_facet Sak, Jenn Shin
author_sort Sak, Jenn Shin
building UMP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T01:53:01Z
format Undergraduates Project Papers
id ump-13171
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T01:53:01Z
publishDate 2015
recordtype eprints
repository_type Digital Repository
spelling ump-131712023-10-18T03:50:40Z http://umpir.ump.edu.my/id/eprint/13171/ Night vision camera system for intruder detection in indoor and outdoor environment Sak, Jenn Shin T Technology (General) TS Manufactures 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. 2015-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/13171/1/Night%20vision%20camera%20system%20for%20intruder%20detection%20in%20indoor%20and%20outdoor%20environment.pdf Sak, Jenn Shin (2015) Night vision camera system for intruder detection in indoor and outdoor environment. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang.
spellingShingle T Technology (General)
TS Manufactures
Sak, Jenn Shin
Night vision camera system for intruder detection in indoor and outdoor environment
title Night vision camera system for intruder detection in indoor and outdoor environment
title_full Night vision camera system for intruder detection in indoor and outdoor environment
title_fullStr Night vision camera system for intruder detection in indoor and outdoor environment
title_full_unstemmed Night vision camera system for intruder detection in indoor and outdoor environment
title_short Night vision camera system for intruder detection in indoor and outdoor environment
title_sort night vision camera system for intruder detection in indoor and outdoor environment
topic T Technology (General)
TS Manufactures
url http://umpir.ump.edu.my/id/eprint/13171/
http://umpir.ump.edu.my/id/eprint/13171/1/Night%20vision%20camera%20system%20for%20intruder%20detection%20in%20indoor%20and%20outdoor%20environment.pdf