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Fire Safety and Alert System Using Arduino Sensors with IoT Integration

Authors:

Fernandino S. Perilla,

George R. Villanueva, Jr.,

Napoleon M. Cacanindin,

Thelma D. PalaoagAuthors Info & Claims

ICSCA '18: Proceedings of the 2018 7th International Conference on Software and Computer Applications

Pages 199 - 203

https://doi.org/10.1145/3185089.3185121

Published: 08 February 2018 Publication History

Abstract

The main objective of this study was to design and integrate Internet of Things (IoT) to an Arduino-based fire safety system that gives alert to fire-fighting facilities, authorities and building occupants to possibly prevent fire occurrences or reduce the probable damages it may cause. The researchers conducted literature and technology reviews that established a more detailed definition of the topic and gave them ideas about the latest technology to be utilized for a fire safety system. At the same time, qualitative methods such as surveys, focused group discussions and interviews have been used to determine the desired features integrated in the system and determine the level of usability for the quality improvement if any. Because of the increasing number of fire incidents, this study paves way to mitigate some risks on this kind of catastrophic event. Fire safety systems are important means of prevention and are designed primarily to provide building occupants prompt warning and instruction to safely evacuate the premises if a fire occurs. When correctly maintained, operating fire safety systems are proven to be life saving devices that can get you out of a situation that would potentially turn into a tragedy.

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Cited By

Medewar ASawarkar AKshirsagar U(2024)A Review on Fire and Smoke Detection With Intelligent Control for Enhanced Safety Using Machine Learning (ML) and Internet of Things (IoT)Cureus Journals10.7759/s44389-024-00359-4Online publication date: 26-Sep-2024
https://doi.org/10.7759/s44389-024-00359-4
Medewar ASawarkar AKshirsagar U(2024)A Review on Fire and Smoke Detection With Intelligent Control for Enhanced Safety Using Machine Learning (ML) and Internet of Things (IoT)Cureus Journals10.7759/10Online publication date: 26-Sep-2024
https://doi.org/10.7759/10
Chayalakshmi CKakkasageri MPujar RHegde N(2023)IoT Sensors for Smart AutomationAI and Blockchain Applications in Industrial Robotics10.4018/979-8-3693-0659-8.ch006(141-170)Online publication date: 29-Dec-2023
https://doi.org/10.4018/979-8-3693-0659-8.ch006
Show More Cited By

Index Terms

Fire Safety and Alert System Using Arduino Sensors with IoT Integration
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor applications and deployments

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cover image ACM Other conferences

ICSCA '18: Proceedings of the 2018 7th International Conference on Software and Computer Applications

February 2018

349 pages

ISBN:9781450354141

DOI:10.1145/3185089

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Tokyo

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 February 2018

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ICSCA 2018

ICSCA 2018: 2018 7th International Conference on Software and Computer Applications

February 8 - 10, 2018

Kuantan, Malaysia

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Cited By

Medewar ASawarkar AKshirsagar U(2024)A Review on Fire and Smoke Detection With Intelligent Control for Enhanced Safety Using Machine Learning (ML) and Internet of Things (IoT)Cureus Journals10.7759/s44389-024-00359-4Online publication date: 26-Sep-2024
https://doi.org/10.7759/s44389-024-00359-4
Medewar ASawarkar AKshirsagar U(2024)A Review on Fire and Smoke Detection With Intelligent Control for Enhanced Safety Using Machine Learning (ML) and Internet of Things (IoT)Cureus Journals10.7759/10Online publication date: 26-Sep-2024
https://doi.org/10.7759/10
Chayalakshmi CKakkasageri MPujar RHegde N(2023)IoT Sensors for Smart AutomationAI and Blockchain Applications in Industrial Robotics10.4018/979-8-3693-0659-8.ch006(141-170)Online publication date: 29-Dec-2023
https://doi.org/10.4018/979-8-3693-0659-8.ch006
Fuerte SYu XSaniie J(2023)Fire Security Systems Analysis and Internet of Things Implications2023 IEEE International Conference on Electro Information Technology (eIT)10.1109/eIT57321.2023.10187236(248-253)Online publication date: 18-May-2023
https://doi.org/10.1109/eIT57321.2023.10187236
Manwar KBodkhey DSingh CMogalgiddikar GMahamine P(2023)About a Practical Approach for Smart Building by Using Internet of ThingsInternet of Things (IoT): Key Digital Trends Shaping the Future10.1007/978-981-19-9719-8_7(77-87)Online publication date: 23-Jul-2023
https://doi.org/10.1007/978-981-19-9719-8_7
Uma SEswari R(2022)A multimodel fire detection and alarm system for automobiles using internet of things and machine learningConcurrency and Computation: Practice and Experience10.1002/cpe.711734:21Online publication date: 5-Jun-2022
https://doi.org/10.1002/cpe.7117
Alvares BPerez ETrigueros JHo JLy ELe H(2021)Development of a Solar-Powered Wildfire Detector System for Remote Locations with XBee and GSM CapabilitiesWSEAS TRANSACTIONS ON COMPUTERS10.37394/23205.2021.20.2020(189-198)Online publication date: 23-Aug-2021
https://doi.org/10.37394/23205.2021.20.20
Jack KAdigun AAdewale FInyang A(2021)Improved Fire Safety and Protection Model for Smart Buildings with Internet of ThingsProceedings of the 5th International Conference on Future Networks and Distributed Systems10.1145/3508072.3508115(287-292)Online publication date: 15-Dec-2021
https://dl.acm.org/doi/10.1145/3508072.3508115
N. PManjunatha R(2021)Internet of Things Based Monitoring System for Oil Tanks2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)10.1109/ICMNWC52512.2021.9688384(1-7)Online publication date: 3-Dec-2021
https://doi.org/10.1109/ICMNWC52512.2021.9688384
Suklabaidya SDas I(2021)IoT as a Platform: For Smart Home Analysis and Monitoring of Fire ParametersAdvanced Computing and Intelligent Technologies10.1007/978-981-16-2164-2_27(329-338)Online publication date: 22-Jul-2021
https://doi.org/10.1007/978-981-16-2164-2_27
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