Research ArticleOpen AccessGoogle Scholar indexed
IoTSAMS: A Novel Framework for Internet of Things (IoT) Based Smart Attendance Management System
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
- 1 Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
- 2 Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
- 3 Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
- 4 Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
- 5 Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
Intelligent Control and Automation·Volume 09 (2018)·Pages 74–84·Published 16 August 2018·DOI10.4236/ica.2018.93006
Copy link · social · email
Abstract
Automated attendance management system will reduce complexity by eliminating plenty of manual processes involved in attendance system and calculating hours attended. This paper presents a simple technique of taking student attendance in the form of an Internet of Things (IoT) based system that records the attendance using fingerprint-based system and stores them securely in a database. We use NodeMCUV3, RFID Module and Fingerprint sensor module in our system. The fingerprint module is responsible for authentication of the students. RFID Module is used to scan the RFID tag and sends data to the central server. By using this information, the system will generate an attendance report which can be accessed for further use.
KeywordsAutomated AttendanceArduinoFingerprint ModuleIoTRFID Tag and Reader
- Chang, C.H. (2011) Smart Classroom Roll Caller System with IoT Architecture. 2011 Second International Conference on Innovations in Bio-Inspired Computing and Applications, Shenzhan, 16-18 December 2011, 356-360. https://doi.org/10.1109/IBICA.2011.94
- Gunjan, T., Ramteke, R. and Shete, A.K. (2013) Wireless Fingerprint Based College Attendance System Using Zigbee Technology. International Journal of Engineering and Advanced Technology (IJEAT), 2, 201-203.
- Singh, D., Reddy, A. and Kumar, S.S. (2016) IoT-Based Wireless Attendance Management System Using Finger Print Recognition. INROADS-An International Journal of Jaipur National University, 5, 21-29. https://doi.org/10.5958/2277-4912.2016.00074.6
- Prince, N., Sengupta, A. and Unni, M. (2016) Implementation of IoT Based Attendance System on a Dedicated Web-Server. International Journal of Scientific & Engineering Research, 7, 351-355
- Kawaguchi, Y., Shoji, T., Weijane, L., Kakusho, K. and Minoh, M. (2005) Face Recognition-Based Lecture Attendance System. The 3rd AEARU Workshop on Network Education, Tokyo, 2005, 70-75.
- Subramaniam, H., Hassan, M., et al. (2013) Bar Code Scanner Based Student Attendance System (sas). Jurnal TICom, 1, No. 3.
- Younis, M.I., Al-Tameemi, Z.A., Ismail, W. and Zamli, K.Z. (2013) Design and Implementation of a Scalable Rfid-Based Attendance System with an Intelligent Scheduling Technique. Wireless Personal Communications, 71, 2161-2179. https://doi.org/10.1007/s11277-012-0929-3
- Cho, Y.S. and Kim, K.M. (2015) Nfc-Based Attendance Checking System for Institutions of Higher Education. KIISE Transactions on Computing Practices, 21, 283-289. https://doi.org/10.5626/KTCP.2015.21.4.283
- Gopala, K.V.B., Sekhar, S.C., Babu, N.R. and Ravi, K.S. (2012) The Design of Intelligent Campus Security & Attendance System Based on RFID, GSM and Zig-Bee. 2250-3021.
- Yadav, D.K., Singh, S., Pujari, S. and Mishra, P. (2015) Fingerprint Based Attendance System Using Microcontroller and Labview. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 4, 5111-5121. https://doi.org/10.15662/ijareeie.2015.0406029
- Kavitha, G. and Sankara, K. (2018) Design and Implementation of Smart Attendance System using Raspberry Pi. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3, 26-33.
- Monk, S. (2015) Programming the Raspberry Pi: Getting Started with Python. TAB Electronics, New York.