Enhancing Laboratory Experience: A Combination of RFID and Machine Learning Techniques to Track Attendance and Upgrade Hardware

Prasanna Kumar M; Likhith K Raj; Karthik M; Chandu Shivaputrappa Barker; Manoj R

Abstract

Practical subjects have grown in importance in student lives over time. Certain components may malfunction or not be suitable for the experiment being conducted. The RFID system facilitates the tracking of both student attendance and experiment details, which are saved on a MySQL server and shown inside a PHP environment. After being collected by means of an RFID reader, RFID tags, and a nodeMCU, the data has been applied to artificial understanding that identifies usage and then notifies the service. Based on mean square error (MSE) value, we have constructed three models: gradient boosting (1.00), random forest (0.5), and linear regression (0.14).

Keywords

RFID reader, RFID Tags, nodeMCU, Machine Learning

References

G. A. Casula, F. Lestini, F. P. Chietera, G. Muntoni, C. Occhiuzzi, L. Catarinucci, R. Colella, G. Montisci, and G. Marrocco, "Design of On-Body Epidermal Antenna on AMC Substrate for UHF RFID in Healthcare," IEEE Transactions on Antennas and Propagation, 2024. https://doi.org/10.1109/TAP.2024.3383214.
M. T. Pandian, D. Somasundaram, and H. K. Sahu, "Optimizing Large-Scale RFID Networks With Energy-Efficient Dynamic Cluster Head Selection: A Performance Improvement Approach," IEEE Access, 2024. https://doi.org/10.1109/ACCESS.2024.3378528.
X. Teng, X. Liu, and Y. Zhang, "A UHF Passive RFID Tag Frontend Design with A Novel True Random Number Generator," IEEE Access, 2024. https://doi.org/10.1109/ACCESS.2024.3378128.
C. T. Nguyen, L. T. Hoang, and K. D. Dang, "Enhanced M-Ary Detecting Tree: A Novel Time-Efficient Protocol for Tag Identification in Active RFID Systems," IEEE Access, 2024. https://doi.org/10.1109/ACCESS.2024.3376742.
M. Mehedi, M. S. Hanif, M. Bilal, and M. T. Vellingiri, "Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities," IEEE Access, 2024. https://doi.org/10.1109/ACCESS.2024.3380830.
F. Kheawprae, A. Boonpoonga, and D. Torrungrueng, "Complex Natural Resonance-Based Chipless RFID Multi-Tag Detection Using One-Dimensional Convolutional Neural Networks," IEEE Access, 2023. https://doi.org/10.1109/ACCESS.2023.3339825.
H. Solar, A. Beriain, R. Berenguer, and J. Sosa, "Semi-Passive UHF RFID Sensor Tags: A Comprehensive Review," IEEE Access, 2023. https://doi.org/10.1109/ACCESS.2023.3336761.
K. Mekki, "Development of a New 24-bit High-Performance Chipless RFID Tag for Accurate Identification in IoT Systems," IEEE Access, 2023. https://doi.org/10.1109/ACCESS.2023.3337151.
E. Pereira, I. Araujo, L. F. V. Silva, M. Batista, S. Junior, and E. Barboza, "RFID Technology for Animal Tracking: A Survey," IEEE Journal of Radio Frequency Identification, vol. 7, p. 609, 2023.
E. Di Giampaolo, F. Martinelli, and F. Romanelli, "The Role of the RFID Polarization Mismatch in the Simultaneous Localization and Mapping Problem," IEEE Journal of Radio Frequency Identification, vol. 7, p. 475, 2023.
R. Anusha, P. R. Rao, and N. P. Rai, "Secured Authentication of RFID Devices Using Lightweight Block Ciphers on FPGA Platforms," IEEE Access, 2023. https://doi.org/10.1109/ACCESS.2023.3320277.
M. Noman, "A Novel Design Methodology to Realize a Single Byte Chipless RFID Tag by Loading a Square Open-Loop Resonator With Micro-Metallic Cells," IEEE Journal of Microwaves, 2022. https://doi.org/10.1109/JMW.2022.3226878.
Q. Miao, F. Xiao, H. Huang, L. Sun, and R. Wang, "Smart Attendance System Based on Frequency Distribution Algorithm with Passive RFID Tags," Tsinghua Science and Technology, vol. 25, no. 2, pp. 217–226, 2020. https://doi.org/10.26599/TST.2018.9010141.
L. Shahid, H. Shahid, M. A. Riaz, S. I. Naqvi, M. J. Khan, M. S. Khan, Y. Amin, and J. Loo, "Chipless RFID Tag for Touch Event Sensing and Localization," IEEE Access, 2019. https://doi.org/10.1109/ACCESS.2019.2961691.
G. A. Casula, G. Montisci, and H. Rogier, "A Wearable Textile RFID Tag Based on an Eighth-Mode Substrate Integrated Waveguide Cavity," IEEE Access, 2020. https://doi.org/10.1109/ACCESS.2020.2964614.
Y. Shafiq, J. Henricks, C. P. Ambulo, T. H. Ware, and S. V. Georgakopoulos, "A Passive RFID Temperature Sensing Antenna With Liquid Crystal Elastomer Switching," IEEE Access, 2020. https://doi.org/10.1109/ACCESS.2020.2969969.
D. Mijic, J. Durutovi?, and O. Bjelica, "An Improved Version of Student Attendance Management System Based on RFID," in Proc. 18th International Symposium INFOTEH-JAHORINA, East Sarajevo, Republic of Srpska, Bosnia and Herzegovina, Mar. 20-22, 2019.
U. Koppikar, S. Hiremath, A. Shiralkar, A. Rajoor, and V. P. Baligar, "IoT based Smart Attendance Monitoring System using RFID," in Proc. 1st International Conference on Advances in Information Technology, School of Computer Science and Engineering, KLE Technological University, Hubli, 2019.
S. L. Rosa and E. A. Kadir, "Online Classroom Attendance System Based on RFID Technology and Cloud Computing," Department of Informatics Technology, 2023.

Cites this article as

P. K. M, L. K. Raj, K. M, C. S. Barker, M. R, "Enhancing Laboratory Experience: A Combination of RFID and Machine Learning Techniques to Track Attendance and Upgrade Hardware", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-12, no.3, pp.113-119, 2024. Available from: https://doi.org/10.55524/ijircst.2024.12.3.18

Corresponding Author

Prasanna Kumar M

Department of Electronics and Instrumentation Engineering, Dr. Ambedkar Institute of Technology Bengaluru, India

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