CAPTCHA
1 + 6 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
  • Reset your password

User account menu

  • Log in
Home
Open Scholar Sphere

Main navigation

  • Home

IOT-based biometric attendance system for CRUTECH

Breadcrumb

  • Home
  • IOT-based biometric attendance system for CRUTECH

Prince Ana 1, *, Ukoette Jeremiah Ekah 2 and Emmanuel Oyo-Ita 1

1 Department of Computer Science, Cross River University of Technology, Calabar, Nigeria.
2 Department of Physics, Cross River University of Technology, Calabar, Nigeria.

Research Article

International Journal of Science and Research Archive, 2022, 05(01), 039–050.
Article DOI: 10.30574/ijsra.2022.5.1.0035
DOI url: https://doi.org/10.30574/ijsra.2022.5.1.0035

Received on 25 December 2021; revised on 29 January 2022; accepted on 30 January 2022

Identification of students in higher institutions in Nigeria, coupled with the recent insecurity and impersonation in the country has exposed the need to find a way to identify each and every person in the institution and Cross River University of Technology (CRUTECH), Calabar, Nigeria, is not an exception. The current method of identifying students with an identification card is vulnerable to abuse. To curtail this menace, this research proposes an IOT-based attendance system using ESP32 microcontroller, 0.96” OLED display and R305 fingerprint module. During operation, the system collects the fingerprint data from multiple users through the microcontroller based on ESP32 Wi-Fi enabled module and sends it over the internet to a website. Enrollment of fingerprints is done on the server using the interfaced fingerprint sensor module. Verification of user’s fingerprint is done on the webserver while fingerprint templates are transmitted over Wi-Fi. The website user interface (UI) used in this project is developed using PHP, CSS and JavaScript. It has a database and records of attendance. By logging into the website, attendance records of each user, including personal details as well as incoming and outgoing time can be collected. This data can be downloaded and exported to an excel sheet for evaluation.

Attendance system; Internet of things; CRUTECH; Biometric; ESP 32 microcontroller

https://ijsra.net/node/435

Preview Article PDF

Prince Ana, Ukoette Jeremiah Ekah and Emmanuel Oyo-Ita. IOT-based biometric attendance system for CRUTECH. International Journal of Science and Research Archive, 2022, 05(01), 039–050. https://doi.org/10.30574/ijsra.2022.5.1.0035

Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

Footer menu

  • Contact
Powered by Drupal

Copyright © 2025 Open Scholar Sphere - All rights reserved

Developed & Designed by VS WebTech