The paper starts with the introduction of the basic requirements of classical intrusion detection and alarm systems, and fire detection systems. The drawbacks of such conventional systems are highlighted. 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 using fuzzy logic. Details of implementation and some experimental results have been included in the paper for illustration.
|Number of pages||16|
|Publication status||Published - 1 Sept 1994|
ASJC Scopus subject areas
- Materials Science(all)
- Safety, Risk, Reliability and Quality