A Comprehensive Review on Geolocation Based Attendance Monitoring Systems in Various Industries

Authors

  • Abhendra Pratap Singh Department of Mechanical Engineering, HMR Institute of Technology and Management, New Delhi, India Author
  • Dushyant Kumar Department of Computer Science & Engineering, HMR Institute of Technology and Management, New Delhi, India Author
  • Bhumika Sharma Department of Computer Science & Engineering, HMR Institute of Technology and Management, New Delhi, India Author
  • Jagriti Sharma Department of Computer Science & Engineering, HMR Institute of Technology and Management, New Delhi, India Author
  • Abhishek Kumar Department of Computer Science & Engineering, HMR Institute of Technology and Management, New Delhi, India Author
  • Keshav Department of Computer Science & Engineering, HMR Institute of Technology and Management, New Delhi, India Author
  • Diya Gupta Department of Computer Science & Engineering, HMR Institute of Technology and Management, New Delhi, India Author

DOI:

https://doi.org/10.21467/proceedings.7.6.6

Keywords:

Workforce Management, Automated attendance monitoring

Abstract

This review based study unites the various research efforts conducted for the automatic attendance procedure, which helps in decreasing illegal activities and simplifying data handling, etc. For proper work management, correct attendance tracking is important. However, many current methods still depend on old methods like paper records and manual inputs, which may not be suitable or secure enough. Proper geographically based verification is confirmed by this geolocation mechanism. On the other hand, accurate, touchless identification is made possible by using biometric technology. When we combine these technologies, the rate at which errors are made manually decreases to some great extent, along with reducing the chances of substitute attendance. This way, the companies and the institutions are available with a better choice. Along with these features, the system can unfortunately be prone to some unwanted disadvantages, like privacy and data security issues. This paper highlights the transformative potential of these technologies while emphasizing the importance of secure and ethical implementation.

References

1. Lala, O.G., Aworinde, H.O., Ogunbanwo, A.D., Oduwole, O.A., Adepegba, O.A. and Onamade, A.A., 2022. A mobile web application for attendance management using geolocation.

2. Pratama, Y.R. and Siswanto, A., 2024. Application of Geolocation Methods in Student Attendance System Design. Data Science Insights, 2(1).

3. Khan, S.M., Maliha, M.T., Haque, M.S. and Rahman, A., 2024, December. WiFi Received Signal Strength (RSS) Based Automated Attendance System for Educational Institutions. In Proceedings of the 11th International Conference on Networking, Systems, and Security (pp. 172-180).

4. Simas, S., Oliveira, P.F. and Matos, P., 2024, September. A prototype to enhance academic attendance using BLE beacons. In Proceedings of 2024 the 16th International Conference on Education Technology and Computers (pp. 250-254).

5. Kumari, S. and Kumar, P., 2024. QR-Attendance System with Geo-Location. International Journal of Advanced Research, Ideas and Innovations in Technology, 10(6), (pp.158–162).

6. Mane, S., Bharambe, A., Gawade, M., Gandhi, N. and Bhanwase, S., 2024. Geolocation-Based Employee Attendance and Tracking System. International Research Journal of Modernization in Engineering Technology and Science, 6(11), (pp.177–183).

7. Nallusamy, C., Gowri, R.S. and Priya, S.H., 2025. GPS is used in an attendance tracking system. In Challenges in Information, Communication and Computing Technology (pp. 106-111). CRC Press.

8. Gite, H.S., Kawade, P.B., Aushikar, H.S., Gangurde, A.M., and Khairnar, N.S., 2023. GPS-Based Attendance System Using Geofencing. International Journal of Scientific Development and Research, 8(5), (pp.1277–1282).

9. Bailke, P., Gujarathi, O., Gundecha, S., Gore, O., Jadhav, A. and Chaudhari, J., 2024. Smart Attendance System using Geolocation. Grenze International Journal of Engineering & Technology (GIJET), 10.

10. Ray, D., 2025. A Face Recognition Based Attendance System with Geolocation and Real-Time Action Logging.

11. Babatunde, A.N., Oke, A.A., Babatunde, R.S., Ibitoye, O. and Jimoh, E.R., 2022. Mobile based student attendance system using geo-fencing with timing and face recognition. J. Adv. Math. Comput. Sci.

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Published

2025-11-21

How to Cite

[1]
A. P. Singh, “A Comprehensive Review on Geolocation Based Attendance Monitoring Systems in Various Industries”, AIJR Proc., vol. 7, no. 6, pp. 42–46, Nov. 2025, doi: 10.21467/proceedings.7.6.6.