Loading...

Please wait while we retrieve your documents

[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal E-ISSN 3048-6408 Since 2024
  1. Home
  2. Archives
  3. 2025
  4. Vol. 2 Issue 2
  5. Article
Original Article

Smart Attendance System Using Esp32-Cam

  • Paper ID 28
  • Volume 2, Issue 2
  • Pages: 01-03
  • Published Online: May-August 2025
  • 296 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • 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.

Article Information

Published Online
May-August 2025
Pages
01-03
Article Type
Original Article
Check for updates
check update

Abstract

View PDF

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

APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 3048-6408
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper