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Cloud-Based Smart Attendance System: Design, Implementation, and Architecture

Authors

Varun Goud

Sreenidhi Institute of Science and Technology, Computer Science and Engineering Department, Yamnampet, Ghatkesar, R.R. District, Hyderabad, India (IN)

Bhanuvardhan

Sreenidhi Institute of Science and Technology, Computer Science and Engineering Department, Yamnampet, Ghatkesar, R.R. District, Hyderabad, India (IN)

Ankur Kumar

Sreenidhi Institute of Science and Technology, Computer Science and Engineering Department, Yamnampet, Ghatkesar, R.R. District, Hyderabad, India (IN)

Pavan Kumar

Sreenidhi Institute of Science and Technology, Computer Science and Engineering Department, Yamnampet, Ghatkesar, R.R. District, Hyderabad, India (IN)

G Venkanna

Sreenidhi Institute of Science and Technology, Computer Science and Engineering Department, Yamnampet, Ghatkesar, R.R. District, Hyderabad, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150300068

Subject Category: Architecture

Volume/Issue: 15/3 | Page No: 814-825

Publication Timeline

Submitted: 2026-04-16

Published: 2026-04-16

Abstract

This paper proposes the design and implementa- tion of an integrated, cloud-based Smart Attendance System, specifically designed to meet the growing demands of modern educational institutions. The proposed Smart Attendance System is designed to incorporate two-factor authentication with facial recognition and RFID card identification to improve authenti- cation accuracy. The proposed Smart Attendance System em- ploys microcontroller technology, which may include NodeMCU ESP8266 or Raspberry Pi, in conjunction with MFRC522 RFID card identification module and camera configurations. The pro- posed facial recognition and detection are achieved by employing OpenCV or cloud-based APIs, while attendance is synchronized using cloud platforms like Firebase or AWS. The experimental results show a 99.4% authentication accuracy, reduced ad- ministrative burden, and improved accessibility compared to traditional manual attendance systems.

Keywords

Cloud computing, attendance management

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