MRI
MRI India Journals Vol. 14 No. 1 (2025)

AI-Enabled Face Recognition Attendance System with Cloud Connectivity

Authors

  • A. S. Shirkande Assistant Professor, E & TC Engineering Department, S. B. Patil College of Engineering, Indapur (MH), India
  • K. R. Dokhe UG Student, E & TC Engineering Department, S. B. Patil College of Engineering, Indapur (MH), India
  • S. N. Salunkhe UG Student, E & TC Engineering Department, S. B. Patil College of Engineering, Indapur (MH), India
  • R. K. Maral UG Student, E & TC Engineering Department, S. B. Patil College of Engineering, Indapur (MH), India

DOI:

https://doi.org/10.65521/ijaeee.v14i1.525

Keywords:

Face Recognition Artificial Intelligence (AI) Attendance System Cloud Connectivity

Abstract

Today, people remember more passwords and carry more cards, so security becomes more important. However, such implementations are becoming less safe and feasible as an biometric attendance . A biometric attendance system works by capturing a unique physical characteristic of an individual, like their fingerprint, iris scan, or facial features, and comparing it to a stored database to verify their identity and register their attendance. The designed system capturing a person's face image using a raspberry pi camera, then analyzing the facial features using artificial intelligence algorithms to compare them against a database of registered faces, automatically recording attendance if a match is found and produce voice greeting with it essentially, identifies individuals based on their unique facial geometry, eliminating the need for physical ID cards or manual timekeeping.

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Published

2025-06-01

How to Cite

Shirkande, A. S., Dokhe, K. R., Salunkhe, S. N., & Maral, R. K. (2025). AI-Enabled Face Recognition Attendance System with Cloud Connectivity. International Journal of Advanced Electrical and Electronics Engineering, 14(1), 51–56. https://doi.org/10.65521/ijaeee.v14i1.525

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