Fingerprint Based Attendance System Using Atmega328P

Abstract

In most schools and institutions, pupils\' attendance is formally noted in duplicate on a piece of paper.They mark phoney student attendance using prohibited methods. The accuracy of the attendance is improved by fingerprint-based systems. The marking of attendance typically takes five minutes. The participation indicated following student identity. A fingerprint-based identification method is utilised to identify students. It is thought to be the quickest technique for biometric identification. Additionally, attendance rates are computed to create a distinct defaulter list, which is then periodically sent to students. The gadget differs from the others in that it is brief.

Introduction

Conclusion

Here, we used the Atmega 328P to create a biometric fingerprint-based attendance system. We used the R307 fingerprint sensor in this project, which reads fingerprints and records them as digital data. This device is extremely dependable and completely user-friendly. As a result, it can be used in businesses or educational institutions.

References

[1] Adler Pereira, B. N. Sumalatha, S. Irudaya Marry, and Karthik Krishnamurthi International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 3, March 2015, \"Fingerprint Based Attendance System.\" [2] \"Fingerprint Based Attendance Management System\" 2015 Department of CSE, Panimalar Institute of Technology Chennai, Tamil Nadu, India. Sangeetha J., Sivaranjani S., and Shalini J. [3] \"Fingerprint Based Attendance Management System\" 2018 Sardar Patel Institute of Technology by Akash Mane, Tejas Autkar, Chinmay Pimple, Dr. Reena Sonkusare, and Prof. Sneha Weaky. [4] Olaniyi OM, Rulogun OT, Olatunbosun A, and Fakolujo OA. International Journal of Scientific and Engineering Research, 2013 Feb;4, \"RFID-based students attendance management system.\" [5] \"Fingerprint-based student attendance system\" with sms notice to parents by K. Jaikumar, M. Santhosh Kumar, S. Rajkumar, and A. Sakthivel.

Copyright

Copyright © 2023 Sujit Jamadade, Siddheshwar Mule, Somnath Lambe. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.