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Original Article

Smart Attendance System Using Esp32-Cam

Yerramsetti Manasa1 Gembale Pavan Kumar2 Reddy Harini3 Karri G B Shiv Shankar4 Illa Naga Satish5

1 Assistant Professor, Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Visakhapatnam, Andhra Pradesh, India. 2 3 4 5 Department of ECE, Dr. Lankapalli Bullayya College of Engineering, Visakhapatnam, Andhra Pradesh, India.

Published Online: May-August 2025

Pages: 01-03

Abstract

The Smart attendance system using ESP32-CAM provides a modern, contactless solution to the problem of attendance tracking. It is well known that a fingerprint-based attendance system will become contaminated over time with the number of people that it will take an imprint from. Facial recognition-based attendance will capture the attendance of people based on recognizing their face, which does not require the person to touch anything. The ESP32-CAM camera streams footage from the camera to a computer and captures the face of each person in real time, while the attendance records provided by the ESP32 flash memory matches the time when you pressed the push button. The attendance data can be stored securely and it can easily interface with cloud-based or locally based databases to efficiently manage data. The face smart attendance system using ESP32-CAM is a clean accurate, and scalable alternative to attendance tracking and monitoring for any context including schools, offices and the industry

References

  • 1. M. Sireesha, “Automatic Attendance Management System Using Face Recognition” International Journal of Research Publication and

  • Reviews, 2022.

  • 2. Dr. V. Suresh, “Facial Recognition Attendance System Using Python and Open CV” Journal of Software Engineering and Simulation 2020.

  • 3. Sneha Medhavath, “Face Recognition Based Attendance System Using ESP32 Cam” International journal of Engineering Applied Sciences

  • and Technology 2020.

  • 4. F. Year Student and A. Professor, “Student Attendance Marking Using Face Recognition in Internet of Things,” International Journal of

  • Computer Science Trends and Technology (IJCST), vol. 5, 2013,

  • 5. V. Gupta, A. Kumar, A. Jawed, and A. Basu, “student attendance system based on the face recognition of webcam’s image of the classroom,”

  • 2015.

Citations

Yerramsetti Manasa, Gembale Pavan Kumar, Reddy Harini, Karri G B Shiv Shankar, Illa Naga Satish, “Smart Attendance System Using Esp32-Cam”, Indian Journal of Electronics and Communication Engineering, Volume 02, Issue 02, May-August 2025, PP: 01-03.

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Licensing

© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.