UGC Approved Journal no 63975(19)

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

Volume 10 Issue 12
December-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2312604


Registration ID:
530665

Page Number

g22-g25

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Title

Forest Fire Detection and Notification Method Based on AI and IoT Approaches

Abstract

Animal life, human settlements, and ecosystems are all seriously threatened by forest fires. Because the air is dry in the spring and autumn, there is a higher chance of bushfires. Bring nothing combustible with you, like matches or smokes. The "Fireguard AI-IoT Sensor," an intelligent and integrated system for efficient forest fire detection and real-time notification, is presented in this study. The fireGuard system is an Internet of Things (IoT) architecture that integrates a range of sensors with sophisticated artificial intelligence (AI) algorithms. The FireGuard AI-IoT Sensor combines weather stations, temperature and humidity sensors, smoke and gas detectors, acoustic sensors, and video systems with AI analytics. Together, these sensors track ambient conditions, identify sounds associated with fires, detect smoke, and evaluate visual data.Alerts are distributed via email, smartphone apps, and SMS, among other media. In the end, the FireGuard AI-IoT Sensor improves community safety and environmental sustainability by aiding in the early detection, quick reaction, and efficient control of forest fire occurrences.

Key Words

bushfire; fire detection; fireguard; notification

Cite This Article

"Forest Fire Detection and Notification Method Based on AI and IoT Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.g22-g25, December-2023, Available :http://www.jetir.org/papers/JETIR2312604.pdf

ISSN


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

"Forest Fire Detection and Notification Method Based on AI and IoT Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppg22-g25, December-2023, Available at : http://www.jetir.org/papers/JETIR2312604.pdf

Publication Details

Published Paper ID: JETIR2312604
Registration ID: 530665
Published In: Volume 10 | Issue 12 | Year December-2023
DOI (Digital Object Identifier):
Page No: g22-g25
Country: Dombivli, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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