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:IJSREM47029

A comprehensive Study on Smart Noise Alert & Detection System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47029

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47029

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

AKT

Aditya Kumar Tiwari1

RBA

Ram Bhushan Agnihotri2

AKS

Aditya Kumar Singh3

AK

Abhishek Kumar4

AB

Ayush Bhatt6

Author Services & Downloads

Full Articles

Abstract

This research paper addresses about Smart Noise Alert & Detection System, Increasing noise pollution and emergency alerts are fast becoming a critical public safety and life quality issue amid the rapid growth of urbanization. This paper highlights the design and deployment of a Smart Noise & Alert Detection System built on Arduino technology. Our system uses Arduino boards and sound sensors that alert upon the identification of abnormal sound. The system monitors environmental noise levels, distinguishing between normal levels of background noise and abnormal noises that are dangerous (for example, explosions, sirens, etc.) or abnormal concerning human distress signals (for example, people shouting). Once the noise level or alert levels have been violated, the system immediately alerts the user through warning lights (using LEDs) and communicates the alerts using GSM modules/SMS to ensure an immediate response. Careful consideration was paid in the design to have the system be low-cost, scalable, and adaptable to ease up usage. Hence this concept could be applied in urban or rural areas and adapted for deployment into several buildings (for instance hospitals, factories, and homes) as well as public outdoor spaces. During field tests, the alert signals capturing noise anomalies were found to operate effectively. Our work contributes to the domain of smart noise and alert systems, whereby intelligent IoT-based safety systems are evolving from the increasingly accepted concept of smart cities.

KEYWORDS

Cite This Article

Aditya Kumar Tiwari1, Ram Bhushan Agnihotri2, Aditya Kumar Singh3, Abhishek Kumar4, Ayush Bhatt6, "A comprehensive Study on Smart Noise Alert & Detection System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47029

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

6/4/2025

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

7

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...