Keywords: Beacon; Attendance System; iOS; Android; IoT.


Until today, student attendance taking proves to have remained as one of the most challenging tasks in
educational organizations. Time efficiency, authenticity together with cost have been major influential
factors for many proposed systems in the past to tackle such a challenging task. Nevertheless, such
proposed systems lack one or more of these issues. This paper introduces an idea in which smartphones
owned by students and teachers are used as the main building blocks of an attendance system that
addresses these three major issues. The proposed system takes advantage of the built-in Bluetooth Low
Energy (known as BLE) of the smartphones such that it turns them into Beacon Transmitters and
Receivers. Two different applications are developed, one of which is installed on the student smartphones
turning into a Beacon Transmitter while the other is installed on the instructor’s device acting as a Beacon
scanner. Students are automatically marked as present, once s/he enters the classroom with the app
running. When the instructor is satisfied with the attendance, s/he can send the data to a remote server.


Download data is not yet available.


Akbar, M. S. et al. (2019) „Face Recognition and
RFID Verified Attendance System‟,
Proceedings - 2018 International Conference
on Computing, Electronics and
Communications Engineering, iCCECE 2018.
IEEE, pp. 168–172. doi:
Android Beacon Library (no date). Available at:
ary/ (Accessed: 24 June 2020).
Android Beacon Library (no date). Available at: ary/beacon-transmitter.html (Accessed: 24
June 2020).
Apoorv, R. and Mathur, P. (2017) „Smart attendance
management using Bluetooth Low Energy and
Android‟, IEEE Region 10 Annual
International Conference,
Proceedings/TENCON, pp. 1048–1052. doi:
Azmi, M. S. M. et al. (2019) „UNITEN Smart
Attendance System (UniSas) Using Beacons
Sensor‟, 2018 IEEE Conference on e-Learning,
e-Management and e-Services, IC3e 2018.
IEEE, pp. 35–39. doi:
Badejo, J. A. et al. (2018) „Integrating Automated
Fingerprint-Based Attendance into a
University Portal System‟, Proceedings - 2017
International Conference on Computational
Science and Computational Intelligence,
CSCI 2017. IEEE, pp. 1016–1020. doi:
Bhih, A. A., Johnson, P. and Randles, M. (2016)
„Diversity in smartphone usage‟, ACM
International Conference Proceeding Series,
1164(June), pp. 81–88. doi:
Chennattu, S. et al. (2019) „Portable Biometric
Attendance System Using IOT‟, 2019 4th
International Conference on Information
Systems and Computer Networks, ISCON
2019. IEEE, pp. 245–249. doi:
Chintalapati, S. and Raghunadh, M. V. (2013)
„Automated attendance management system
based on face recognition algorithms‟, 2013
IEEE International Conference on
Computational Intelligence and Computing
Research, IEEE ICCIC 2013, pp. 1–5. doi:
Credé, M., Roch, S. G. and Kieszczynka, U. M. (2010)
„Class attendance in college: A meta-analytic
review of the relationship of class
attendance with grades and student
characteristics‟, Review of Educational
Research, 80(2), pp. 272–295. doi:
iBeacon tutorial - Part 3: Ranging beacons - Estimote
Developer (no date). Available at:
/part-3-ranging-beacons/ (Accessed: 24 June
Koppikar, U. et al. (2019) „IoT based Smart
Attendance Monitoring Systems using RFID‟,
1st IEEE International Conference on
Advances in Information Technology, ICAIT
2019 - Proceedings, pp. 193–197. doi:
Noguchi, S. et al. (2015) „Student attendance
management system with bluetooth low
energy beacon and android devices‟,
Proceedings - 2015 18th International
Conference on Network-Based Information
Systems, NBiS 2015, pp. 710–713. doi:
Samet, R. and Tanriverdi, M. (2017) „Face
recognition-based mobile automatic classroom
attendance management system‟,
Proceedings - 2017 International Conference
on Cyberworlds, CW 2017 - in cooperation
with: Eurographics Association
International Federation for Information
Processing ACM SIGGRAPH, 2017- Janua,
pp. 253–256. doi: 10.1109/CW.2017.34.
Turning an iOS Device into an iBeacon Device |
Apple Developer Documentation (no date).
beacon_device (Accessed: 24 June 2020).
Verma, P. and Gupta, N. (2013) „Fingerprint Based
Student Attendance System Using GSM‟,
International Journal of Science and
Research (IJSR) ISSN (Online, 2(10), pp.
How to Cite
ALI, A., & NADIR, B. (2021). BEACONDRIOD: AN AUTOMATED STUDENT ATTENDANCE SYSTEM. Journal of Duhok University, 23(2), 396-401. Retrieved from