PIR sensörleriyle alev tespiti

B. Uǧur Töreyin; E. Birey Soyer; Onay Urfalioǧlu; A. Enis Çetin

doi:10.1109/SIU.2008.4632660

PIR sensörleriyle alev tespiti

Translated title of the contribution: Flame detection using PIR sensors

B. Uǧur Töreyin^*, E. Birey Soyer, Onay Urfalioǧlu, A. Enis Çetin

^*Corresponding author for this work

Bilkent University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings are modeled using a set of Hidden Markov Models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is reached according to the HMM producing the highest probability.

Translated title of the contribution	Flame detection using PIR sensors
Original language	Turkish
Title of host publication	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
DOIs	https://doi.org/10.1109/SIU.2008.4632660
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU - Aydin, Turkey Duration: 20 Apr 2008 → 22 Apr 2008

Publication series

Name	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

Conference

Conference	2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Country/Territory	Turkey
City	Aydin
Period	20/04/08 → 22/04/08

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10.1109/SIU.2008.4632660

Cite this

@inproceedings{838997724cdc49068a1ba43c0e0cd827,

title = "PIR sens{\"o}rleriyle alev tespiti",

abstract = "In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings are modeled using a set of Hidden Markov Models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is reached according to the HMM producing the highest probability.",

author = "{Uǧur T{\"o}reyin}, B. and {Birey Soyer}, E. and Onay Urfalioǧlu and {Enis {\c C}etin}, A.",

year = "2008",

doi = "10.1109/SIU.2008.4632660",

language = "T{\"u}rk{\c c}e",

isbn = "9781424419999",

series = "2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU",

booktitle = "2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU",

note = "2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU ; Conference date: 20-04-2008 Through 22-04-2008",

}

Uǧur Töreyin, B, Birey Soyer, E, Urfalioǧlu, O & Enis Çetin, A 2008, PIR sensörleriyle alev tespiti. in 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU., 4632660, 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU, 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU, Aydin, Turkey, 20/04/08. https://doi.org/10.1109/SIU.2008.4632660

PIR sensörleriyle alev tespiti. / Uǧur Töreyin, B.; Birey Soyer, E.; Urfalioǧlu, Onay et al.
2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU. 2008. 4632660 (2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - PIR sensörleriyle alev tespiti

AU - Uǧur Töreyin, B.

AU - Birey Soyer, E.

AU - Urfalioǧlu, Onay

AU - Enis Çetin, A.

PY - 2008

Y1 - 2008

N2 - In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings are modeled using a set of Hidden Markov Models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is reached according to the HMM producing the highest probability.

AB - In this paper, a flame detection system based on a pyroelectric (or passive) infrared (PIR) sensor is described. The flame detection system can be used for fire detection in large rooms. The flame flicker process of an uncontrolled fire and ordinary activity of human beings are modeled using a set of Hidden Markov Models (HMM), which are trained using the wavelet transform of the PIR sensor signal. Whenever there is an activity within the viewing range of the PIR sensor system, the sensor signal is analyzed in the wavelet domain and the wavelet signals are fed to a set of HMMs. A fire or no fire decision is reached according to the HMM producing the highest probability.

UR - http://www.scopus.com/inward/record.url?scp=56449130120&partnerID=8YFLogxK

U2 - 10.1109/SIU.2008.4632660

DO - 10.1109/SIU.2008.4632660

M3 - Konferans katkısı

AN - SCOPUS:56449130120

SN - 9781424419999

T3 - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

BT - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

T2 - 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

Y2 - 20 April 2008 through 22 April 2008

ER -

PIR sensörleriyle alev tespiti

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