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:IJSREM63881

Smart Attendance System Using Face Recognition

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63881

Volume:

10 |

5 |

May 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63881

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

NR

Nayana R

Department of Computer Science and Engineering

Malnad College of Engineering

Download Author Certificate
KK

Keerthana KP

Department of Computer Science and Engineering

Malnad College of Engineering

RH

Rithu HK

Department of Computer Science and Engineering

Malnad College of Engineering

RsB

Raksha shetty BP

Department of Computer Science and Engineering

Malnad College of Engineering

PC

Prathiksha CD

Department of Computer Science and Engineering

Malnad College of Engineering

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Attendance management is an important task in ed-ucational institutions and organizations because it helps maintain discipline, monitor student participation, and improve academic performance. Traditional attendance methods such as manual registers and paper-based systems consume time and are prone to human errors and proxy attendance. To overcome these prob-lems, this paper presents a Smart Attendance Monitoring System using Face Recognition and Wi-Fi based Location Tracking. The proposed system combines computer vision, biometric authenti-cation, and wireless communication technologies to automate the attendance process in classrooms. The system captures students’ facial images through a camera and identifies them using face recognition algorithms. Wi-Fi and classroom location tracking are used to ensure that attendance is marked only when students are physically present inside the classroom. The system stores attendance records automatically in a secure database and generates reports for teachers and administrators. This method reduces manual effort, improves accuracy, minimizes fake attendance, and saves classroom time. The proposed solution is user-friendly, cost-effective, and suitable for modern smart classroom environments.

KEYWORDS

Index Terms—Face Recognition Smart Attendance System Wi-Fi Tracking Computer Vision Smart Classroom LBPH Algorithm OpenCV Attendance Automation

Cite This Article

Nayana R, Keerthana KP, Rithu HK, Raksha shetty BP, Prathiksha CD, "Smart Attendance System Using Face Recognition," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-3, May 2026. https://doi.org/10.55041/IJSREM63881

Full Article/Conclusion

This paper presented a Smart Attendance Monitoring Sys-tem using Face Recognition and Wi-Fi based Location Track-ing for smart classroom environments. The proposed sys-tem automates attendance management and reduces problems associated with manual attendance methods such as proxy attendance, time consumption, and human errors. The integration of face recognition and Wi-Fi verification provides accurate and secure attendance monitoring. The sys-tem is cost-effective, scalable, and user-friendly, making it suitable for educational institutions and organizations. The proposed solution contributes toward the development of smart classrooms and digital learning environments.

References

[1]       N. Ramakrishnan et al., “Wi-Fi Based Smart Attendance Monitoring System,” IEEE, 2023. [2]       S. Dev and T. Patnaik, “Student Attendance System using Face Recog-nition,” IEEE, 2020. [3]       S. K. Sharma et al., “Smart Attendance System using Face Recognition,” IEEE, 2024. [4]       F. Alassery, “A Smart Classroom of Wireless Sensor Networks for Students Time Attendance System,” IEEE, 2019. [5]       P. Pandiaraja et al., “An Analysis of Integrated Face Recognition Attendance Analytics,” IEEE, 2026. [6]       R. Samet and M. Tanriverdi, “Face Recognition Based Attendance System,” International Journal of Computer Applications, vol. 120, no. 5, pp. 12–18, 2022. [7]       A. Surekha et al., “OpenCV based Smart Attendance System,” Interna-tional Journal of Advanced Research, vol. 8, no. 4, pp. 101–110, 2021.

Editorial & Review Transparency

Publication Date

5/24/2026

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

6

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...