Optimal placement of security camera
This research studies the optimization on the placement of security camera. We need to improve the field of view (FOV) coverage of a security camera by only adjusting the location of cameras with minimal numbers of cameras. Two dimensional of floor plan was designed in boundary nodes and internal no...
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my-utm-ep.781742018-07-25T08:19:06Z Optimal placement of security camera 2013-01 Lee, Li Chin QA Mathematics This research studies the optimization on the placement of security camera. We need to improve the field of view (FOV) coverage of a security camera by only adjusting the location of cameras with minimal numbers of cameras. Two dimensional of floor plan was designed in boundary nodes and internal nodes. Cameras were installed at boundary node in order to view the internal nodes. We propose Binary Integer Programming method which can efficiently find an optimal layout for each camera. Heuristic method of Particle Swarm Optimization (PSO) algorithm is applied on this problem. As a result of this optimization, the FOV coverage of the whole camera network is maximized. This study show that the proposed PSO method perform well and effectively applied in placement of security camera on any design of floor plan. 2013-01 Thesis http://eprints.utm.my/id/eprint/78174/ http://eprints.utm.my/id/eprint/78174/1/LeeLiChinMFS20131.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79425 masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science |
| institution |
Universiti Teknologi Malaysia |
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UTM Institutional Repository |
| language |
English |
| topic |
QA Mathematics |
| spellingShingle |
QA Mathematics Lee, Li Chin Optimal placement of security camera |
| description |
This research studies the optimization on the placement of security camera. We need to improve the field of view (FOV) coverage of a security camera by only adjusting the location of cameras with minimal numbers of cameras. Two dimensional of floor plan was designed in boundary nodes and internal nodes. Cameras were installed at boundary node in order to view the internal nodes. We propose Binary Integer Programming method which can efficiently find an optimal layout for each camera. Heuristic method of Particle Swarm Optimization (PSO) algorithm is applied on this problem. As a result of this optimization, the FOV coverage of the whole camera network is maximized. This study show that the proposed PSO method perform well and effectively applied in placement of security camera on any design of floor plan. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Lee, Li Chin |
| author_facet |
Lee, Li Chin |
| author_sort |
Lee, Li Chin |
| title |
Optimal placement of security camera |
| title_short |
Optimal placement of security camera |
| title_full |
Optimal placement of security camera |
| title_fullStr |
Optimal placement of security camera |
| title_full_unstemmed |
Optimal placement of security camera |
| title_sort |
optimal placement of security camera |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Science |
| granting_department |
Faculty of Science |
| publishDate |
2013 |
| url |
http://eprints.utm.my/id/eprint/78174/1/LeeLiChinMFS20131.pdf |
| _version_ |
1747817925129011200 |