Low Cost Night Vision System for Intruder Detection

The growth in production of Android devices has resulted in greater functionalities as well as lower costs. This has made previously more expensive systems such as night vision afordable for more businesses and end users. We designed and implemented robust and low cost night vision systems based on...

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Main Authors: Ng Liang, Shing, J. S., Sak, R., Dhinesh
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10515/1/Low%20Cost%20Night%20Vision%20System%20for%20Intruder%20Detection.pdf
http://umpir.ump.edu.my/id/eprint/10515/
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spelling my.ump.umpir.105152018-02-23T02:03:52Z http://umpir.ump.edu.my/id/eprint/10515/ Low Cost Night Vision System for Intruder Detection Ng Liang, Shing J. S., Sak R., Dhinesh TS Manufactures The growth in production of Android devices has resulted in greater functionalities as well as lower costs. This has made previously more expensive systems such as night vision afordable for more businesses and end users. We designed and implemented robust and low cost night vision systems based on red-green-blue (RGB) colour histogram for a static camera as well as a camera on an unmanned aerial vehicle (UAV), using OpenCV library on Intel compatible notebook computers, running Ubuntu Linux operating system, with less than 8GB of RAM. They were tested against human intruders under low light conditions (indoor, outdoor, night time) and were shown to have successfully detected the intruders. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10515/1/Low%20Cost%20Night%20Vision%20System%20for%20Intruder%20Detection.pdf Ng Liang, Shing and J. S., Sak and R., Dhinesh (2015) Low Cost Night Vision System for Intruder Detection. In: International Manufacturing Engineering Conference (IMEC 2015), 12-14 Nov 2015 , Kuala Lumpur. . (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TS Manufactures
spellingShingle TS Manufactures
Ng Liang, Shing
J. S., Sak
R., Dhinesh
Low Cost Night Vision System for Intruder Detection
description The growth in production of Android devices has resulted in greater functionalities as well as lower costs. This has made previously more expensive systems such as night vision afordable for more businesses and end users. We designed and implemented robust and low cost night vision systems based on red-green-blue (RGB) colour histogram for a static camera as well as a camera on an unmanned aerial vehicle (UAV), using OpenCV library on Intel compatible notebook computers, running Ubuntu Linux operating system, with less than 8GB of RAM. They were tested against human intruders under low light conditions (indoor, outdoor, night time) and were shown to have successfully detected the intruders.
format Conference or Workshop Item
author Ng Liang, Shing
J. S., Sak
R., Dhinesh
author_facet Ng Liang, Shing
J. S., Sak
R., Dhinesh
author_sort Ng Liang, Shing
title Low Cost Night Vision System for Intruder Detection
title_short Low Cost Night Vision System for Intruder Detection
title_full Low Cost Night Vision System for Intruder Detection
title_fullStr Low Cost Night Vision System for Intruder Detection
title_full_unstemmed Low Cost Night Vision System for Intruder Detection
title_sort low cost night vision system for intruder detection
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/10515/1/Low%20Cost%20Night%20Vision%20System%20for%20Intruder%20Detection.pdf
http://umpir.ump.edu.my/id/eprint/10515/
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score 13.159267