UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFR06046


Registration ID:
501039

Page Number

234-240

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Title

Artificial Intelligence (AI) Fire Detection System: A Review

Abstract

Early discovery of a home fire is critical for quick extinguishment and the reduction of property destruction or loss of lives. One or even more sensors, as well as a detection technique, are required to identify fire. The detectors may be members of a wireless sensor network (WSN) or they could operate on their own. Prior studies in the domain of WSN-based fire prevention has given minimal or little consideration to determining the best collection of detectors, and also the application of learning processes and AI approaches. They've just made some educated guesses about what may be regarded a suitable sensor, or they've employed an undefined AI method. Throughout this study, we provide a strategy for selecting the most optimum sensor configurations for effective home environmental monitoring by narrowing the gap among old fire detection approaches and contemporary wireless sensor network characteristics. The application of a feed forward neural network (FFNN) as well as a Nave Bayes Classifier is also looked into, with findings in regards of classification accuracy and computation time examined.

Key Words

Artificial Intelligence (AI), Fire Detection, Neural Network, Operating System (OS), Wireless Sensor Network (WSN).

Cite This Article

"Artificial Intelligence (AI) Fire Detection System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.234-240, September-2018, Available :http://www.jetir.org/papers/JETIRFR06046.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence (AI) Fire Detection System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp234-240, September-2018, Available at : http://www.jetir.org/papers/JETIRFR06046.pdf

Publication Details

Published Paper ID: JETIRFR06046
Registration ID: 501039
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 234-240
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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