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American Scientific Publishing Group

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Journal of Cognitive Human-Computer Interaction

ISSN
Online: 2771-1463 Print: 2771-1471
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Continuous publication

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Open access journal. All articles are freely available online with no APC.

Journal of Cognitive Human-Computer Interaction
Full Length Article

Volume 3Issue 1PP: 28-35 • 2022

Infallible and FastQR Code Based Attendance Plus Feedback System

Ramgude Akshay Dilip 1*
1Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon, India
* Corresponding Author.
verified

Open Access & Copyright

© 2022 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Received: January 14, 2022 Accepted: May 24, 2022

Abstract

We all know that keeping track of students' attendance is a crucial part of their education. Marking attendance, particularly in higher educational institutions, is a time-consuming and inefficient operation due to the large number of students. Taking feedback from students during seminars or guest lectures is also a time-consuming and demanding endeavor. It has a significant impact on an educational organization's overall productivity. We also understand that smartphones have become common, as well as a need in this rapidly changing digital world. Various smartphone applications have been developed, allowing us to boost our productivity while saving a significant amount of time. Many digital technologies, such as fingerprint scanning, RFID, facial recognition, QR codes, and barcode-based systems, have been presented in recent years. However, they were unable to adopt these ideas on a broad scale due to factors such as sophisticated functionality, easy to cheat, time demanding, and poor user experience. Furthermore, there are no effective or time-saving methods in place for collecting student feedback during seminars or guest lectures. To address all of these concerns, we devised and suggested a quick, scalable, and error-proof QR code-based system capable of accurately recording attendance and collecting feedback at seminars or guest lectures.

Keywords

QRcode Feedback Attendance

References

[1] Punch Card, available at: https://www.computerhope.com/jargon/p/punccard.htm

[2] Punch card attendance system, available at: http://www.bioenabletech.com/punch-card attendance-system.html

[3] M. A. Abas, T. B. Tuck, and M. Dahlui, “Attendance Management System (AMS) with fast track analysis,” in 2014, International Conference on Computer, Control, Informatics and Its Applications (IC3INA), 2014, pp. 35–40.

[4] T. J. Zhi, Z. Ibrahim, and H. Aris, “Effective and efficient attendance tracking system using secret code,” in Proceedings of the 6th International Conference on Information Technology and Multimedia, 2014, pp. 108– 112.

[5] A. Manori, N. Devnath, N. Pasi, and V. Kumar, “QR Code Based Smart Attendance System”, Int. J. Smart Bus. Technol., vol. 5, no. 1, pp. 1–10,Jul. 2017.

[6] AsriNuhi, AgonMemeti, FlorindaImeri, and BetimCico, “Smart attendance system using qr code,” in Mediterranean Conference on Embedded Computing. IEEE, 2020, pp. 1–4.

[7] S. K. Jain, U. Joshi, and B. K. Sharma, “Attendance Management System,” Masters Project Report, Rajasthan Technical University, Kota.

[8] FadiMasalha and NaelHirzallah, “A Students Attendance System Using QR Code”, International Journal of Advanced Computer Science and Applications vol. 5, no.3, pp. 75-79, Jan. 2014.

[9] Hoo, Seng Chun, and Haidi Ibrahim. “Biometric-Based AttendanceTracking System for Education Sectors: A Literature Survey on Hardware Requirements.” Journal of Sensors, 15 Sept. 2019, pp. 1– 25.,doi:10.1155/2019/7410478.

[10] S. Yang, Y. Song, H. Ren and X. Huang, ”An automated studentattendance tracking system based on voiceprint and location,” 2016 11thInternational Conference on Computer Science & Education (ICCSE),Nagoya, Japan, 2016, pp. 214-219, doi: 10.1109/ICCSE.2016.7581583.

[11] P. Kavitha , R. SubhaShini , R. Priya, "An Implementation Of Statistical Feature Algorithms For The Detection Of Brain Tumor", Journal of Cognitive Human-Computer Interaction, 2021, DOI: https://doi.org/10.54216/JCHCI.010202.

[12] Sonia Jenifer Rayen, "Survey On Smart Cane For Visually Impaired Using IOT", Journal of Cognitive Human- Computer Interaction, 2021, DOI: https://doi.org/10.54216/JCHCI.010205.

[13] Ajith Krishna R , Ankit Kumar , Vijay K, " An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT", Journal of Cognitive Human-Computer Interaction, 2021, https://doi.org/10.54216/JCHCI.010105.

Cite This Article

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format_quote
Dilip, Ramgude Akshay. "Infallible and FastQR Code Based Attendance Plus Feedback System." Journal of Cognitive Human-Computer Interaction, vol. Volume 3, no. Issue 1, 2022, pp. 28-35. DOI: https://doi.org/10.54216/JCHCI.030104
Dilip, R. (2022). Infallible and FastQR Code Based Attendance Plus Feedback System. Journal of Cognitive Human-Computer Interaction, Volume 3(Issue 1), 28-35. DOI: https://doi.org/10.54216/JCHCI.030104
Dilip, Ramgude Akshay. "Infallible and FastQR Code Based Attendance Plus Feedback System." Journal of Cognitive Human-Computer Interaction Volume 3, no. Issue 1 (2022): 28-35. DOI: https://doi.org/10.54216/JCHCI.030104
Dilip, R. (2022) 'Infallible and FastQR Code Based Attendance Plus Feedback System', Journal of Cognitive Human-Computer Interaction, Volume 3(Issue 1), pp. 28-35. DOI: https://doi.org/10.54216/JCHCI.030104
Dilip R. Infallible and FastQR Code Based Attendance Plus Feedback System. Journal of Cognitive Human-Computer Interaction. 2022;Volume 3(Issue 1):28-35. DOI: https://doi.org/10.54216/JCHCI.030104
R. Dilip, "Infallible and FastQR Code Based Attendance Plus Feedback System," Journal of Cognitive Human-Computer Interaction, vol. Volume 3, no. Issue 1, pp. 28-35, 2022. DOI: https://doi.org/10.54216/JCHCI.030104
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