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: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
World Conference Resources
2015
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| Subjects: | |
| 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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| Summary: | 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%. |
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