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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| Format: | Conference or Workshop Item |
| Language: | English |
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2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/10515/ http://umpir.ump.edu.my/id/eprint/10515/1/Low%20Cost%20Night%20Vision%20System%20for%20Intruder%20Detection.pdf |
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ump-10515 |
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eprints |
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ump-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 (Unpublished) |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| 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/ http://umpir.ump.edu.my/id/eprint/10515/1/Low%20Cost%20Night%20Vision%20System%20for%20Intruder%20Detection.pdf |
| first_indexed |
2023-09-18T22:10:12Z |
| last_indexed |
2023-09-18T22:10:12Z |
| _version_ |
1777414976655327232 |