Applied Machine Learning: Concepts, Algorithms, and Real-World Applications
Articles

Face recognition-grounded attendance monitoring system for educational institution

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  • Surabhi Ghosh,
  • Sangita Bose
Surabhi Ghosh
Department of Computer Application (MCA), Swami Vivekananda University, Barrackpore
Sangita Bose
Department of Computer Application (MCA), Swami Vivekananda University, Barrackpore
Bio

Published 2026-07-06

Keywords

  • Smart Attendance System,
  • Face Database,
  • Face Recognition Algorithm,
  • Data Storage,
  • Automated Reporting,
  • OpenCV,
  • Numpy
    • ...More
    Less

How to Cite

Ghosh, Surabhi, and Sangita Bose. “Face Recognition-Grounded Attendance Monitoring System for Educational Institution”. Swami Vivekananda University Press, July 2026, pp. 43-50, https://swamivivekanandauniversitypress.com/index.php/svup/article/view/651.

Copyright (c) 2026 Swami Vivekananda University Press

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

The main purpose of this design is to make a face recognition- grounded attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more effective and effective as compared to ahead. The current old system has a lot of nebulosity that caused inaccurate and hamstrung of attendance taking. numerous problems arise when the authority is unfit to apply the regulation that live in the old system. This system leverages state- of- the- art facial recognition technology, enforced through the Python programming language and the OpenCV library By using advanced facial recognition technology, this system offers a largely effective and dependable result to streamline the attendance operation process.

DOI - https://doi.org/10.65525/SVUP.9788199963351.2026.43-50

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