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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Bibliographic Details
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
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author Ng Liang, Shing
J. S., Sak
R., Dhinesh
author_facet Ng Liang, Shing
J. S., Sak
R., Dhinesh
author_sort Ng Liang, Shing
collection UMP
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.
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spelling UMPir105152018-02-23T02:03:52Z 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)
spellingShingle TS Manufactures
Ng Liang, Shing
J. S., Sak
R., Dhinesh
Low Cost Night Vision System for Intruder Detection
title 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_short Low Cost Night Vision System for Intruder Detection
title_sort low cost night vision system for intruder detection
topic TS Manufactures
url http://umpir.ump.edu.my/id/eprint/10515/1/Low%20Cost%20Night%20Vision%20System%20for%20Intruder%20Detection.pdf
work_keys_str_mv AT ngliangshing lowcostnightvisionsystemforintruderdetection
AT jssak lowcostnightvisionsystemforintruderdetection
AT rdhinesh lowcostnightvisionsystemforintruderdetection