Smart Fingerprint Attendance System Using Raspberry Pi

RutujaR Margaje; SakshiB Gaikwad; MA Tamhare; Rutuja RPol

Smart Fingerprint Attendance System Using Raspberry Pi

RutujaR Margaje, SakshiB Gaikwad, MA Tamhare, Rutuja RPol | International Journal of Embedded Systems and Emerging Technologies | Vol 11, Issue 02 | pp. 20-27 | ISSN: 2456-723X

Abstract

This paper presents the design and implementation of a smart fingerprint-based attendance system tailored for classroom environments. The system uses a Raspberry Pi 3 A+, a fingerprint sensor, and Google Sheets for automatic, real-time logging of student attendance. The system offers an efficient, secure, and user-friendly solution to track student attendance while minimizing errors associated with traditional manual methods. It eliminates the need for paper-based attendance management and integrates seamlessly with cloud-based storage, providing access to attendance data from any device with internet access.

Fingerprint Authentication, Raspberry Pi 3 A+, Classroom Attendance, Google Sheets, Automation, Cloud Storage.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

Subscribe Purchase this article Institutional / Login access

References

1. Joice A, Tufaique T, Tazeen H, Igathinathane C, Zhang Z, Whippo C, Hendrickson J, Archer D. Applications of Raspberry Pi for Precision Agriculture—A Systematic Review. Agriculture. 2025 Jan 21;15(3):227. 2. Singh J. Applied Data Science and Smart Systems. Goyal SB, Kaushal RK, Kumar N, Sehra SS, editors. Taylor & Francis Group; 2024 Jul 22. 3. Kumar M, Agarwal A, Pradhan SR. Fingerprint-based biometric authentication for educational attendance systems. Int J Comput Sci Technol. 2024 Jan;9(1):14-20. 4. Gupta RD. Raspberry Pi for IoT-based educational systems. Int J Educ Technol. 2022 Mar;12(3):56-60. 5. Google Developers. Google Sheets API [Internet]. Mountain View (CA): Google; [cited 2025 Mar 7]. Available from: https://developers.google.com/sheets/api 6. Wazwaz A, Amin K, Semary N, Ghanem T. Dynamic and distributed intelligence over smart devices, Internet of Things edges, and cloud computing for human activity recognition using wearable sensors. J Sens Actuator Netw. 2024 Jan 2;13(1):5. 7. Badawi AA. Internet of Things (IoT): origins, embedded technologies, smart applications, and its growth in the last decade. 2024. 8. Yalli JS, Hasan MH, Badawi AA. Internet of Things (IoT): origins, embedded technologies, smart applications, and its growth in the last decade. IEEE Access. 2024 Jun 24;12:91357-82. 9. Badshah A, Ghani A, Daud A, Jalal A, Bilal M, Crowcroft J. Towards smart education through internet of things: A survey. ACM Computing Surveys. 2023 Sep 14;56(2):1-33. 10. Witczak D, Szymoniak S. Review of monitoring and control systems based on Internet of Things. Applied Sciences. 2024 Oct 4;14(19):8943.

How to cite this article

APA

Margaje, R., Gaikwad, S., Tamhare, M., & RPol, R. (2026). Smart Fingerprint Attendance System Using Raspberry Pi. International Journal of Embedded Systems and Emerging Technologies, 11(02), 20-27.

MLA

Margaje, RutujaR, et al. “Smart Fingerprint Attendance System Using Raspberry Pi.” International Journal of Embedded Systems and Emerging Technologies, vol. 11, no. 02, 2026, pp. 20-27.

Chicago

RutujaR Margaje, SakshiB Gaikwad, MA Tamhare, and Rutuja RPol. “Smart Fingerprint Attendance System Using Raspberry Pi.” International Journal of Embedded Systems and Emerging Technologies 11, no. 02 (2026): 20-27.

Vancouver

Margaje R, Gaikwad S, Tamhare M, RPol R. Smart Fingerprint Attendance System Using Raspberry Pi. International Journal of Embedded Systems and Emerging Technologies. 2026;11(02):20-27.

BibTeX

@article{MargajeR2026,
author = {RutujaR Margaje and SakshiB Gaikwad and MA Tamhare and Rutuja RPol},
title = {Smart Fingerprint Attendance System Using Raspberry Pi},
journal = {International Journal of Embedded Systems and Emerging Technologies},
year = {2026},
volume = {11},
number = {02},
pages = {20--27},
issn = {2456-723X},
url = {https://journalspub.com/publication/ijeset/article=23047}
}

► Necessary Cookies Always Active

Necessary cookies enable essential site features like secure log-ins and consent preference adjustments. They do not store personal data.

► Functional Cookies Remark

Functional cookies support features like content sharing on social media, collecting feedback, and enabling third-party tools.

► Analytical Cookies Remark

Analytical cookies track visitor interactions, providing insights on metrics like visitor count, bounce rate, and traffic sources.

► Advertisement Cookies Remark

Advertisement cookies deliver personalized ads based on your previous visits and analyze the effectiveness of ad campaigns.

RutujaR Margaje, SakshiB Gaikwad, MA Tamhare, Rutuja RPol | International Journal of Embedded Systems and Emerging Technologies | Vol 11, Issue 02 | pp. 20-27 | ISSN: 2456-723X

Abstract

Fingerprint Authentication, Raspberry Pi 3 A+, Classroom Attendance, Google Sheets, Automation, Cloud Storage.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

Subscribe Purchase this article Institutional / Login access

References

How to cite this article

APA

Margaje, R., Gaikwad, S., Tamhare, M., & RPol, R. (2026). Smart Fingerprint Attendance System Using Raspberry Pi. International Journal of Embedded Systems and Emerging Technologies, 11(02), 20-27.

MLA

Margaje, RutujaR, et al. “Smart Fingerprint Attendance System Using Raspberry Pi.” International Journal of Embedded Systems and Emerging Technologies, vol. 11, no. 02, 2026, pp. 20-27.

Chicago

Vancouver

Margaje R, Gaikwad S, Tamhare M, RPol R. Smart Fingerprint Attendance System Using Raspberry Pi. International Journal of Embedded Systems and Emerging Technologies. 2026;11(02):20-27.

BibTeX

@article{MargajeR2026,
author = {RutujaR Margaje and SakshiB Gaikwad and MA Tamhare and Rutuja RPol},
title = {Smart Fingerprint Attendance System Using Raspberry Pi},
journal = {International Journal of Embedded Systems and Emerging Technologies},
year = {2026},
volume = {11},
number = {02},
pages = {20--27},
issn = {2456-723X},
url = {https://journalspub.com/publication/ijeset/article=23047}
}

RutujaR Margaje, SakshiB Gaikwad, MA Tamhare, Rutuja RPol | International Journal of Embedded Systems and Emerging Technologies | Vol 11, Issue 02 | pp. 20-27 | ISSN: 2456-723X

Abstract

Fingerprint Authentication, Raspberry Pi 3 A+, Classroom Attendance, Google Sheets, Automation, Cloud Storage.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

Subscribe Purchase this article Institutional / Login access

References

How to cite this article

APA

Margaje, R., Gaikwad, S., Tamhare, M., & RPol, R. (2026). Smart Fingerprint Attendance System Using Raspberry Pi. International Journal of Embedded Systems and Emerging Technologies, 11(02), 20-27.

MLA

Margaje, RutujaR, et al. “Smart Fingerprint Attendance System Using Raspberry Pi.” International Journal of Embedded Systems and Emerging Technologies, vol. 11, no. 02, 2026, pp. 20-27.

Chicago

Vancouver

Margaje R, Gaikwad S, Tamhare M, RPol R. Smart Fingerprint Attendance System Using Raspberry Pi. International Journal of Embedded Systems and Emerging Technologies. 2026;11(02):20-27.

BibTeX

@article{MargajeR2026,
author = {RutujaR Margaje and SakshiB Gaikwad and MA Tamhare and Rutuja RPol},
title = {Smart Fingerprint Attendance System Using Raspberry Pi},
journal = {International Journal of Embedded Systems and Emerging Technologies},
year = {2026},
volume = {11},
number = {02},
pages = {20--27},
issn = {2456-723X},
url = {https://journalspub.com/publication/ijeset/article=23047}
}

Enter the destination URL

URL

Link Text

Open link in a new tab

Or link to existing content

No search term specified. Showing recent items.