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

doi:10.1016/j.firesaf.2012.06.006

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

^*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

37 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	13-18
Sayfa sayısı	6
Dergi	Fire Safety Journal
Hacim	53
DOI'lar	https://doi.org/10.1016/j.firesaf.2012.06.006
Yayın durumu	Yayınlandı - Eki 2012
Harici olarak yayınlandı	Evet

Finansman

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.

Finansörler	Finansör numarası
Seventh Framework Programme	244088
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Seventh Framework Programme	FP7-ENV-2009-1

Belgeye Erişim

10.1016/j.firesaf.2012.06.006

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Wavelet based flickering flame detector using differential PIR sensors",

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.",

keywords = "Flame detection, Markov models, Pyro-electric Infrared (PIR) sensor, Wavelet transform",

author = "Fatih Erden and Toreyin, {B. Ugur} and Soyer, {E. Birey} and Ihsan Inac and Osman Gunay and Kivanc Kose and Cetin, {A. Enis}",

year = "2012",

month = oct,

doi = "10.1016/j.firesaf.2012.06.006",

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volume = "53",

pages = "13--18",

journal = "Fire Safety Journal",

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T1 - Wavelet based flickering flame detector using differential PIR sensors

AU - Erden, Fatih

AU - Toreyin, B. Ugur

AU - Soyer, E. Birey

AU - Inac, Ihsan

AU - Gunay, Osman

AU - Kose, Kivanc

AU - Cetin, A. Enis

PY - 2012/10

Y1 - 2012/10

N2 - 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.

AB - 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.

KW - Flame detection

KW - Markov models

KW - Pyro-electric Infrared (PIR) sensor

KW - Wavelet transform

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U2 - 10.1016/j.firesaf.2012.06.006

DO - 10.1016/j.firesaf.2012.06.006

M3 - Article

AN - SCOPUS:84863449250

SN - 0379-7112

VL - 53

SP - 13

EP - 18

JO - Fire Safety Journal

JF - Fire Safety Journal

ER -

Wavelet based flickering flame detector using differential PIR sensors

Özet

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap