INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO

March 2020
Vol-6, Issue-2
Paper ID: 11513
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Arduino UNO R3 RFID MFRC522 Sensor Tags Wi-Fi sensor ESP8266 NFC Fingerprint AIDC Node MCU
Abstract
RFID is radio frequency identification technology, an emerging technology which uses radio frequency electric fields to identify and track data stored in chip which can be implant to objects. This paper defines the data storing and retrieval technique by implementing RFID data storage with authentication system for secure data accessing. The data stored in the chip will be accessed with RFID RC522 sensor signals to the antenna attached to the chip, and authenticated with fingerprint sensor in the mobile device with the use of ESP8266 Node MCU, which is a Wi-Fi sensor controlled with Arduino UNO. Data will be sensed and retrieved using the RFID chip with concept of Near Field Communication (NFC) and the data will be shared to specific network connected mobile devices that will be monitored using android application with mobile. Radio frequency emission to the storage chip antenna from sensor will be processed by Automatic Identification Data Capture (AIDC) method with user fingerprint identity verification and the data will be accessed securely.

Author Information

# Name Institute / Affiliation
1 S. Narenkumar K.S.R. College of Engineering
2 G. Surya Narayan K.S.R. College of Engineering
3 K. R. Prem Anand K.S.R. College of Engineering
4 T. Thangarasan K.S.R. College of Engineering
5 I. Vasudevan K.S.R. College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Narenkumar, S., Narayan, G. Surya, Anand, K. R. Prem, Thangarasan, T., & Vasudevan, I. (2020). INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 177-183.
MLA Style
Narenkumar, S., et al. "INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 177-183.
IEEE Style
S. Narenkumar, G. Surya Narayan, K. R. Prem Anand, T. Thangarasan, and I. Vasudevan, "INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 177-183, 2020.
Vancouver Style
Narenkumar S., Narayan G. Surya, Anand K. R. Prem, Thangarasan T., Vasudevan I.. INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):177-183.
Harvard Style
Narenkumar, S., Narayan, G. Surya, Anand, K. R. Prem, Thangarasan, T., & Vasudevan, I. (2020) 'INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 177-183.
Chicago Style
Narenkumar, S., et al. "INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 177-183.
Turabian Style
Narenkumar, S., et al. "INFORMATION SENSING BY RADIO FREQUENCY OF RFID WITH AUTHENTICATION USING ARDUINO." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 177-183.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable