Wavelet based flickering flame detector using differential PIR sensors

Fatih Erden*, B. Ugur Toreyin, E. Birey Soyer, Ihsan Inac, Osman Gunay, Kivanc Kose, A. Enis Cetin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

A Pyro-electric Infrared (PIR) sensor based flame detection system is proposed using a Markovian decision algorithm. A differential PIR sensor is only sensitive to sudden temperature variations within its viewing range and it produces a time-varying signal. The wavelet transform of the PIR sensor signal is used for feature extraction from sensor signal and wavelet parameters are fed to a set of Markov models corresponding to the flame flicker process of an uncontrolled fire, ordinary activity of human beings and other objects. The final decision is reached based on the model yielding the highest probability among others. Comparative results show that the system can be used for fire detection in large rooms.

Original languageEnglish
Pages (from-to)13-18
Number of pages6
JournalFire Safety Journal
Volume53
DOIs
Publication statusPublished - Oct 2012
Externally publishedYes

Funding

This work is supported in part by the Scientific and Technical Research Council of Turkey and the European Community's Seventh Framework Programme (FP7-ENV-2009-1) under grant agreement no FP7-ENV-244088 "FIRESENSE - Fire Detection and Management through a Multi-Sensor Network for the Protection of Cultural Heritage Areas from the Risk of Fire and Extreme Weather.

FundersFunder number
Seventh Framework Programme244088
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Seventh Framework ProgrammeFP7-ENV-2009-1

    Keywords

    • Flame detection
    • Markov models
    • Pyro-electric Infrared (PIR) sensor
    • Wavelet transform

    Fingerprint

    Dive into the research topics of 'Wavelet based flickering flame detector using differential PIR sensors'. Together they form a unique fingerprint.

    Cite this