Analysis of Practical Implementations of Automated Student Identification Systems in Electronic Learning Systems

Authors

  • A. I. Topolskiy Vinnytsia National Technical University
  • Ye. A. Palamarchuk Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1997-9266-2024-173-2-61-70

Keywords:

automated attendance systems, e-learning systems, identification, Wi-Fi, Bluetooth, QR code, face recognition, fingerprint scanning, RFID

Abstract

The article reviews existing systems of automated student identification based on various technologies. The systems are implemented on the basis of such technologies as: Wi-Fi, Bluetooth, face recognition, QR code, fingerprint scanning, and RFID. The features and algorithms of each system are analyzed. The algorithms of the systems are presented in the form of UML diagrams.

As a result of the analysis, the advantages and disadvantages of each technology were identified. To compare the analyzed identification methods, the advantages and disadvantages of the systems, technical characteristics of the equipment and other aspects in the context of an automated attendance system were considered.

Wi-Fi-based systems allow for full automation of the identification process and have low hardware costs, but require students to have their own smartphone. Bluetooth-based systems are similar to Wi-Fi-based systems, but instead of a smartphone, they require any Bluetooth-enabled device and do not require a special application to be installed on the device. Systems based on face recognition do not require additional devices and are fully automated, but have lower reliability of student identification and high complexity of database maintenance. QR code-based systems have high identification reliability and low database maintenance complexity, but cannot be automated. Fingerprint-based systems do not require additional devices and have high identification reliability, but they cannot be automated and require direct contact between students and the scanner, which makes the technology impractical for classes with a large number of students. RFID-based systems are fully automated and autonomous, but students need to carry RFID tags with them, and UHF RFID readers are expensive compared to other technologies.

Therefore, it has been demonstrated that the selection of technology for an automated student identification system relies on the set objectives. In specific circumstances, each of the technologies under consideration might represent the optimal choice for implementation in electronic learning systems.

Author Biographies

A. I. Topolskiy, Vinnytsia National Technical University

Post-Graduate Student of the Chair of Automation and Intelligent Information Technologies

Ye. A. Palamarchuk, Vinnytsia National Technical University

Cand. Sc. (Eng.), Associate Professor, Professor of the Chair of Automation and Intelligent Information Technologies

References

І. П. Аннєкова, «Критерії і показники якості освіти у ВНЗ,» Вісник Одеського національного університету, № 8, 2011.

M. Credé, S. G. Roch, and U. M. Kieszczynka, “Class Attendance in College,” Review of Educational Research, vol. 80, no. 2, pp. 272-295, 2010. https://doi.org/10.3102/0034654310362998 .

H. El Mrabet, and A. Ait Moussa, “IoT-School attendance system using RFID technology,” Int. J. Interact. Mobile Technol. (Ijim), vol. 14, no. 14, pp. 95, 2020. https://doi.org/10.3991/ijim.v14i14 .

J. Rasheed, E. Alimovski, and A. Rasheed, “mManagement: Wi-Fi Hotspot based Attendance Application using Android Smartphone,” 2019 1st International Informatics and Software Engineering Conference (UBMYK), Ankara, Turkey, 6-7.10.2019, IEEE. https://doi.org/10.1109/ubmyk48245.2019.8965588 .

M. Choi, J.-H. Park , and G. Yi, “Attendance Check System and Implementation for Wi-Fi Networks Supporting Unlimited Number of Concurrent Connections,” International Journal of Distributed Sensor Networks, vol. 11, no. 7, pp. 508-698, 2015. https://doi.org/10.1155/2015/508698 .

B. S. Panca, Y. Paulus , and O. Karnalim, “An Automated Attendance System in Academia with Implicit Authentication via Mobile Devices and Wi-Fi Connection,” International Journal of Online and Biomedical Engineering (iJOE), vol. 16, no. 07, pp. 86, 2020. https://doi.org/10.3991/ijoe.v16i07.13869 .

N. Ramakrishnan, A. Ajil, Meenakshi Sundaram A.and V. Sanju., “Wi-Fi Based Smart Attendance Monitoring System,” 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-6, https://doi.org/10.1109/CSITSS60515.2023.10334163 .

S. Sultana, A. Enayet, and I. J. Mouri, “A Smart, Location Based Time and Attendance Tracking System using Android Application,” International Journal of Computer Science, Engineering and Information Technology, vol. 5, no. 1, pp. 01-05, 2015. https://doi.org/10.5121/ijcseit.2015.5101 .

N. A. Azim, “Bluetooth Smart based Automated Attendance System,” International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 3, pp. 4137-4140, 2020. https://doi.org/10.30534/ijatcse/2020/242932020 .

A. B. Dubey, N. Gupta, A. M. Dubey, and N. Nikam, “Smart Mobile Attendance System using Bluetooth technology,” International Research Journal of Engineering and Technology (IRJET), vol. 6, no. 3, pp. 5217-5221, 2019.

M.-Y. Bae, and D.-J. Cho, “Design and Implementation of Automatic Attendance Check System Using BLE Beacon,” International Journal of Multimedia and Ubiquitous Engineering, vol. 10, no. 10, pp. 177-186, Oktob. 2015. https://doi.org/10.14257/ijmue.2015.10.10.19 .

D. Lee, “Bluetooth-Based Smart Attendance System,” International Journal of Engineering and Advanced Technology, vol. 9, no. 3, pp. 3851-3854, 2020. https://doi.org/10.35940/ijeat.c6280.029320 .

A. Puckdeevongs, N. K. Tripathi, A. Witayangkurn, and P. Saengudomlert, “Classroom attendance systems based on bluetooth low energy indoor positioning technology for smart campus,” Information, vol. 11, no. 6, pp. 329, черв. 2020. https://doi.org/10.3390/info11060329 .

A. Manori, N. Devnath, N. Pasi, and V. Kumar, “QR Code Based Smart Attendance System,” International Journal of Smart Business and Technology, vol. 5, no. 1, pp. 1-10, 2017. https://doi.org/10.21742/ijsbt.2017.5.1.01 .

A. Patel, A. Joseph, and S. Survase, “Smart Student Attendance System Using QR Code,” in 2nd International Conference on Advances in Science & Technology (ICAST-2019), Mumbai, India, 8–9 Apr. 2019. Mumbai: K. J. Somaiya Inst. Eng. & Inf. Technol., Univ. Mumbai, 2019.

T. A. Bazilah, and M. Z. Zulkifli, “Mobile attendance system using QR codes technology,” Journal of Computing Technologies and Creative Content, vol. 3, no. 1, pp. 1-3, 2018.

H. Sutar, S. Chaudhari, P. Bhopi, and D. Sonavale, “Automated attendance system,” International Research Journal of Modernization in Engineering Technology and Science, vol. 4, no. 4, pp. 839-842, 2022.

F. Masalha, and N. Hirzallah, “A Students Attendance System Using QR Code,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 5, no. 3, pp. 75-79, 2014.

D. N. Singh, M. K. Sri, and K. Mounika, “IOT Based Automated Attendance with Face Recognition System,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 6S4, 2019.

D. Sunaryono, J. Siswantoro, and R. Anggoro, “An android based course attendance system using face recognition,” Journal of King Saud University – Computer and Information Sciences, 2019. https://doi.org/10.1016/j.jksuci.2019.01.006 .

V. Mekala, V. M. Vinod, M. Manimegalai, and K. Nandhini, “Face Recognition Based Attendance System,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 12, 2019.

M. S. U. Yusuf, and A. A. Fuad, “Real Time Implementation of Face Recognition based Automatic Institutional Attendance System,” WSEAS Transactions on Signal Processing, vol. 17, pp. 46-56, 2021.

A. Patil, A. Mahla, and S. Sonawane, “IoT based attendance system,” Int. Res. J. Eng. Technol. (IRJET), vol. 4, no. 2, pp. 1893-1896, 2017.

M. Alhothaily, M. Alradaey, M. Oqbah, and A. El-Kustaban, “Fingerprint Attendance System for Educational Institutes,” Journal of Science & Technology, vol. 20, no. 1, 2015. https://doi.org/10.20428/jst.v20i1.842 .

A. Basila, and A. Danladi, “Design, simulate and construct a fingerprints attendance system with data logging”, Nigerian Journal of Technology, vol. 40, no. 4, pp. 703-712, 2021. https://doi.org/10.4314/njt.v40i4.17 .

P. Patil, A. Khachane, and V. Purohit, “A Wireless Fingerprint Attendance System,” International Journal of Security, Privacy and Trust Management (IJSPTM), vol. 5, no. 4, pp. 11-17, 2016.

W. A. Farag, and M. Abouelela, “Low-Cost active monitoring of attendance using passive RFID technology,” J. Ilm. Tek. Elektro Kompʹut. Dan Inform., vol. 8, no. 4, pp. 552, 2022. https://doi.org/10.26555/jiteki.v8i4.25168 .

B. Torres, Q. Pang, G. W. Skelton, S. Bridges, and N. Meghanathan, “Integration of an RFIDE reader to a wireless sensor network and its use to identify an individual carrying RFID tags,” International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC), vol. 1, no. 4, pp. 1-15, 2010.

H. F. Abdulsada, “Design and Implementation of Smart Attendance System Based On Raspberry PI,” Journal of Babylon University/Engineering Sciences, vol. 5, no. 25, pp. 1610-1618, 2017.

H. T. S. ALRikabi, A. H. Alaidi, and F. T. Abed, “Attendance System Design And Implementation Based On Radio Frequency Identification (RFID) And Arduino,” Journal of Advanced Research in Dynamical & Control Systems, vol. 10, no. 04-Special Issue, 2018.

J. Uddin, “UHF RFID antenna architectures and applications,” Scientific Res. Essays, vol. 5, no. 10, pp. 1033-1051, 2010.

P. Zradziński, J. Karpowicz, K. Gryz, and V. Ramos, “An evaluation of electromagnetic exposure while using ultra-high frequency radiofrequency identification (UHF RFID) guns,” Sensors, vol. 20, no. 1, pp. 202, 2019. https://doi.org/10.3390/s20010202 .

S. C. Hoo, and H. Ibrahim, “Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements”, Journal of Sensors, vol. 2019, pp. 1-25, 2019. https://doi.org/10.1155/2019/7410478 .

A. Carroll, and G. Heiser, “An analysis of power consumption in a smartphone,” USENIX Annu. Tech. Conf., 2010.

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Published

2024-04-30

How to Cite

[1]
A. I. Topolskiy and Y. A. Palamarchuk, “Analysis of Practical Implementations of Automated Student Identification Systems in Electronic Learning Systems”, Вісник ВПІ, no. 2, pp. 61–70, Apr. 2024.

Issue

No. 2 (2024)

Section

Information technologies and computer sciences

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