Web-Based Smart Attendance System Using Face Recognition and GPS Authentication

Authors

  • Adriana Syazwani Mohammad Faisal Dept. of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, Johor, Malaysia
  • Roshayati Yahya Dept. of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, Johor, Malaysia
  • Ramlee Dept. of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, 86400, Johor, Malaysia
  • Raimi Dewan Advanced Radio Frequency & Microwave Research Group, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
  • Rashidah Che Yob Faculty of Electronic Engineering & Technology (FKTEN), Universiti Malaysia Perlis (UniMAP), Pauh Putra Campus, 02600 Arau, Perlis, Malaysia

DOI:

https://doi.org/10.56532/mjsat.v6iS2.824

Keywords:

HTML, PHP, SQL, JavaScript, XAMPP

Abstract

Traditional attendance system and smart attendance system such as manual sign-in and QR-code scanning are widely used in institution, but it prone to fraud and inefficiency. However, this project presents the development of a web-based smart attendance system that used face recognition and Global Positioning System (GPS) authentication to improve the accuracy and security in recording student attendance. The proposed system ensures that only students physically present within the campus building and match with the face image are marked as attended. The system is develop using HyperText Markup Language (HTML), Hypertext Preprocessor (PHP), Structured Query Language (SQL) and JavaScript, and website development software that provides real-time interaction between students and lecturers. This system can reduce lecturer workload and enhance data reliability. The combination of face recognition and location tracking offers a practical, accurate and scalable solution for educational institutions.

References

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Chiang, Te-Wei, et al. “Development and Evaluation of an Attendance Tracking System Using Smartphones with GPS and NFC.” Applied Artificial Intelligence, vol. 36, no. 1, 4 June 2022. doi: https://doi.org/10.1080/08839514.2022.2083796

Harshada, Miss, et al. “GPS BASED ATTENDANCE SYSTEM USING GEOFENCING.” Ijsdr.org International Journal of Scientific Development and Research, vol. 8, 2023, p. 1277, www.ijsdr.org/papers/IJSDR2305204.pdf.

Web-Based Smart Attendance System Using Face Recognition and GPS Authentication

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Published

2026-10-20

Issue

Special Issue: Postgraduate Seminar in Electrical and Electronic Engineering 2026 (In Press)

Section

Special Issue: Postgraduate Seminar in Electrical and Electronic Engineering 2026

License

Copyright (c) 2026 Adriana Syazwani Mohammad Faisal, Roshayati Yahya, Ramlee, Raimi Dewan, Rashidah Che Yob

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

[1]
“Web-Based Smart Attendance System Using Face Recognition and GPS Authentication”, Malaysian J. Sci. Adv. Tech., vol. 6, no. S2, pp. 105–111, Oct. 2026, doi: 10.56532/mjsat.v6iS2.824.