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/ http://umpir.ump.edu.my/id/eprint/13721/ 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

id	ump-13721
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/13721/ 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
first_indexed	2023-09-18T22:16:39Z
last_indexed	2023-09-18T22:16:39Z
_version_	1777415382158540800

Fire Detection Algorithm using Image Processing Techniques

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