Abstract
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 by using fuzzy logic. Details of implementation and some experimental results have been included in the paper for illustration.
| Original language | English |
|---|---|
| Pages (from-to) | 9-16 |
| Number of pages | 8 |
| Journal | Architectural Science Review |
| Volume | 37 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 1994 |
Keywords
- Fire detectiw
- Fuzy logic
- Pixels
- Security
ASJC Scopus subject areas
- Architecture