Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM32116

ARTIFICAL INTELLIGENCE ENABLED FIRE SAFETY FOR INDUSTRTY

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM32116

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

MBN

M. BALAJI NAIK

RSS

R. SHANKAR SURYA

PMVVM

P. M. V. V. MANIKANTA

GVDR

G. VASU DEVA RAO

MUB

M. UJWAL BHARATH

Author Services & Downloads

Full Articles

Abstract

This project focuses on the development of a wall-mounted automated fire extinguishing system, aiming to enhance fire safety in indoor environments. The prototype involves the design and construction of a model capable of swiftly detecting and extinguishing fires by pumping water through a nozzle to the specified location. The system integrates sensors for fire detection and a responsive mechanism that triggers the release of pressurized water upon detection of flames or a sudden increase in temperature. Through a combination of sensors and a central control unit, the device swiftly identifies the location of the fire and directs the water flow precisely to the affected area. The design emphasizes simplicity, efficiency, and rapid response, intending to minimize the spread and impact of fires in enclosed spaces. By employing a wall-mounted setup, the prototype maximizes accessibility and ease of deployment in various indoor settings. The project’s evaluation involves testing the prototype’s effectiveness in extinguishing controlled fires within a controlled environment. The results aim to demonstrate the system’s ability to promptly detect and suppress fires, showcasing its potential as an innovative solution for fire safety in indoor spaces. This project seeks to offer a reliable and efficient alternative to traditional fire extinguishing methods, emphasizing proactive fire prevention and swift response to enhance safety measures in enclosed environments.

KEYWORDS

Raspberry pi Arduino UNO IR/Thermal camera Stepper Motor Micro step driver Pillow block bearing.

Cite This Article

M. BALAJI NAIK, R. SHANKAR SURYA, P. M. V. V. MANIKANTA, G. VASU DEVA RAO, M. UJWAL BHARATH, "ARTIFICAL INTELLIGENCE ENABLED FIRE SAFETY FOR INDUSTRTY," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

12/31/45410

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

1

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...