Applications in Fire Services

  • Albert Ting-pat So
  • Wai Lok Chan
Part of the The International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 5)


This chapter is a summary of a paper [1] published and re-printed in 1994. It starts with the drawbacks of conventional fire detection systems. Techniques of computer vision are employed to remove the drawbacks and at the same time increase the reliability and response rate of the systems. For security and low level fire detection, a fuzzy logic based image comparison algorithm is deemed adequate. In order to confirm the existence of fire or smoke, techniques related to optical flow are employed as high level fire or smoke detection, which generate a velocity field for the image so that the decision can be judged by using fuzzy logic.


Velocity Field Membership Function Optical Flow Fire Detection Fire Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    So A.T.P. and Chan W.L., “A computer vision based fuzzy logic aided security and fire detection system”, Architectural Science Review, Australia, Vol. 37, No. 1, 1994, pp. 9–16, reprinted in Fire Technology, Vol. 30, No. 3, 1994, pp. 341-356.CrossRefGoogle Scholar
  2. [2]
    So A.T.P. and Chan W.L., “A computer vision based power plant monitoring system”, Proc. Int. Conf. Advances in Power System, Control, Operation and Management, November, 1991, pp. 335–340.Google Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Albert Ting-pat So
    • 1
    • 3
  • Wai Lok Chan
    • 1
    • 2
  1. 1.Johnson Controls Intelligent Building Research CentreCity University of Hong KongChina
  2. 2.Hong Kong Polytechnic UniversityChina
  3. 3.City University of Hong KongChina

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