Web-based teacher attendance registration system using facial recognition

Teaching attendance with facial recognition

Authors

  • Carlos Antonio Flores-Vallejo Universidad Autónoma de Tamaulipas. Facultad de Comercio y Administración Victoria.
  • Demian Abrego Almazan Universidad Autónoma de Tamaulipas. Facultad de Comercio y Administración Victoria. https://orcid.org/0000-0003-0147-8834
  • Juan Carlos De-La-Cruz-Maldonado Universidad Autónoma de Tamaulipas. Facultad de Comercio y Administración Victoria. https://orcid.org/0000-0002-9263-6799

DOI:

https://doi.org/10.29059/educiencia.v12i1.316

Keywords:

facial biometrics, authentication methods, information systems, teacher attendance control

Abstract

Information technologies have facilitated the automation of administrative processes that were previously carried out manually. In higher education institutions, teacher attendance control constitutes a relevant activity for academic management; however, paper based registration and handwritten signatures can be slow and susceptible to alterations or identity impersonation. The objective of this study was to implement a web-based teacher attendance registration system based on facial feature extraction algorithms, with the aim of automating attendance control and ensuring the reliability of the records. The research employed a qualitative approach and a descriptive case study design. Information was collected through interviews and work meetings with administrative staff from the Academic Secretariat of the Faculty of Commerce and Administration Victoria, responsible for the teacher attendance control process. The results demonstrate the design and implementation of a web system featuring modules for attendance logging, facial biometrics, photo capture, QR code generation, role based administration, reporting, and security mechanisms. The proposal's originality lies in the integration of facial biometrics and administrative management within a single web platform. Limitations included the application's reliance on factors such as lighting conditions, internet connectivity, and the type of hardware used.

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Published

2026-10-15

How to Cite

Flores-Vallejo, C. A., Abrego Almazan, D., & De-La-Cruz-Maldonado, J. C. (2026). Web-based teacher attendance registration system using facial recognition: Teaching attendance with facial recognition. EDUCIENCIA, 12(1), 47–56. https://doi.org/10.29059/educiencia.v12i1.316

Issue

Section

Estudios
Received 2026-06-30
Accepted 2026-10-13
Published 2026-10-15

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