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Fire Detection Algorithm using Image Processing Techniques

Lately fire outbreak is common issue happening in Malays and the damage caused by these type of incidents is tremendous toward nature and human interest. Due to this the need for application for fire detection has increases in recent years. In this paper we proposed a fire detection algorithm based...

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Main Authors: Poobalan, Kumarguru, Liew, Siau-Chuin
Format: Conference or Workshop Item
Language:English
English
Published: World Conference Resources 2015
Subjects:
Q Science (General)
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/13721/1/A058%20FIRE%20DETECTION%20ALGORITHM%20USING%20IMAGE%20PROCESSING%20TECHNIQUES%20-%20KUMARGURU.pdf
http://umpir.ump.edu.my/id/eprint/13721/7/fskkp-2015-liew-fire%20detection%20algorithm%20using%20image1.pdf
http://umpir.ump.edu.my/id/eprint/13721/
https://worldconferences.net/proceedings/aics2015/fullpaper/A058%20FIRE%20DETECTION%20ALGORITHM%20USING%20IMAGE%20PROCESSING%20TECHNIQUES%20-%20KUMARGURU.pdf
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record_format eprints
spelling my.ump.umpir.137212017-03-27T02:35:18Z http://umpir.ump.edu.my/id/eprint/13721/ Fire Detection Algorithm using Image Processing Techniques Poobalan, Kumarguru Liew, Siau-Chuin Q Science (General) QA75 Electronic computers. Computer science Lately fire outbreak is common issue happening in Malays and the damage caused by these type of incidents is tremendous toward nature and human interest. Due to this the need for application for fire detection has increases in recent years. In this paper we proposed a fire detection algorithm based on image processing techniques which is compatible in surveillance devices like CCTV, wireless camera to UAVs. The algorithm uses RGB colour model to detect the colour of the fire which is mainly comprehended by the intensity of the component R which is red colour. The growth of fire is detected using sobel edge detection. Finally a colour based segmentation technique was applied based on the results from the first technique and second technique to identify the region of interest (ROI) of the fire. After analysing 50 different fire scenarios images, the final accuracy obtained from testing the algorithm was 93.61% and the efficiency was 80.64%. World Conference Resources 2015-10-12 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13721/1/A058%20FIRE%20DETECTION%20ALGORITHM%20USING%20IMAGE%20PROCESSING%20TECHNIQUES%20-%20KUMARGURU.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/13721/7/fskkp-2015-liew-fire%20detection%20algorithm%20using%20image1.pdf Poobalan, Kumarguru and Liew, Siau-Chuin (2015) Fire Detection Algorithm using Image Processing Techniques. In: E-Proceeding of the 3rd International Conference on Artificial Intelligence and Computer Science (AICS2015), 12-13 October 2015 , BayView Hotel, Penang, Malaysia. pp. 160-168.. ISBN 978-967-0792-06-4 (Online) https://worldconferences.net/proceedings/aics2015/fullpaper/A058%20FIRE%20DETECTION%20ALGORITHM%20USING%20IMAGE%20PROCESSING%20TECHNIQUES%20-%20KUMARGURU.pdf
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
English
topic Q Science (General)
QA75 Electronic computers. Computer science
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
Poobalan, Kumarguru
Liew, Siau-Chuin
Fire Detection Algorithm using Image Processing Techniques
description Lately fire outbreak is common issue happening in Malays and the damage caused by these type of incidents is tremendous toward nature and human interest. Due to this the need for application for fire detection has increases in recent years. In this paper we proposed a fire detection algorithm based on image processing techniques which is compatible in surveillance devices like CCTV, wireless camera to UAVs. The algorithm uses RGB colour model to detect the colour of the fire which is mainly comprehended by the intensity of the component R which is red colour. The growth of fire is detected using sobel edge detection. Finally a colour based segmentation technique was applied based on the results from the first technique and second technique to identify the region of interest (ROI) of the fire. After analysing 50 different fire scenarios images, the final accuracy obtained from testing the algorithm was 93.61% and the efficiency was 80.64%.
format Conference or Workshop Item
author Poobalan, Kumarguru
Liew, Siau-Chuin
author_facet Poobalan, Kumarguru
Liew, Siau-Chuin
author_sort Poobalan, Kumarguru
title Fire Detection Algorithm using Image Processing Techniques
title_short Fire Detection Algorithm using Image Processing Techniques
title_full Fire Detection Algorithm using Image Processing Techniques
title_fullStr Fire Detection Algorithm using Image Processing Techniques
title_full_unstemmed Fire Detection Algorithm using Image Processing Techniques
title_sort fire detection algorithm using image processing techniques
publisher World Conference Resources
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/13721/1/A058%20FIRE%20DETECTION%20ALGORITHM%20USING%20IMAGE%20PROCESSING%20TECHNIQUES%20-%20KUMARGURU.pdf
http://umpir.ump.edu.my/id/eprint/13721/7/fskkp-2015-liew-fire%20detection%20algorithm%20using%20image1.pdf
http://umpir.ump.edu.my/id/eprint/13721/
https://worldconferences.net/proceedings/aics2015/fullpaper/A058%20FIRE%20DETECTION%20ALGORITHM%20USING%20IMAGE%20PROCESSING%20TECHNIQUES%20-%20KUMARGURU.pdf
_version_ 1643667236799381504
score 13.211869

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