Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/28667
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    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/28667


    Title: Remote monitoring of an omnidirectional smoke detection system using texture features image processing techniques
    Authors: Peng, Chun-Chi
    Hsu, Kuei-Shu
    Her, Ming-Guo
    Peng, Yen-Chia
    Jiang, Jinn-Feng
    Chen, Yi-Jie
    Contributors: 應用空間資訊系
    Keywords: Omnidirectional image
    Omnidirectional projector
    Smoke detection
    Date: 2014
    Issue Date: 2015-05-06 21:24:29 (UTC+8)
    Publisher: Emerald Group Publishing Limited
    Abstract: 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.
    Relation: Engineering Computations, v.31 n.8, pp.1611-1626
    Appears in Collections:[Dept. of Applied Geoinformatics] Periodical Articles

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