Remote monitoring of an omnidirectional smoke detection system using texture features image processing techniques

Autor: Kuei-Shu Hsu, Ming-Guo Her, Yen-Chia Peng, Jinn-Feng Jiang, Yi-Jie Chen, Chun-Chi Peng
Rok vydání: 2014
Předmět:
Zdroj: Engineering Computations. 31:1611-1626
ISSN: 0264-4401
DOI: 10.1108/ec-11-2012-0256
Popis: Purpose – The purpose of this paper is to develop an early fire-alarm raising system based on video processing, and combine it with the omnidirectional projecting system. It not only gives alarm immediately in early fire so that people can be able to strive for more time to escape from the spot, but also solves problem of discontinued screen which was presented fire scene. Design/methodology/approach – The smoke detection system is made by image processing. The flowchart of smoke detection is improved, which the method of background updating can filter out the moving objects that only stay for a short time in the image; and avoids these objects being determined to be the background. Moreover, the authors extract the flickering area to separate the non-smoke and smoke from the candidate of smoke regions. Finally, the image processing is applied in omnidirectional projecting system, then presented the 360-degree fire scene. Findings – The results show that the smoke detection system can accurately detect the smoke and mark its location, then combining it with the omnidirectional projecting system, although the resolution of omnidirectional projecting system is not enough, it can present a continued screen and location of smoke on the 360-degree cylindrical screen. Originality/value – This paper develops the smoke detection based on a improved method of image processing, and the control center staff can see the 360-degree fire scene via omnidirectional projecting system, so shorten the time to find the source of smoke.
Databáze: OpenAIRE
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