Radio frequency identification review and development  prospect research

Zheng Tan

doi:10.54254/2755-2721/11/20230200

Research Article

Open access

Published on 25 September 2023

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Tan,Z. (2023). Radio frequency identification review and development prospect research. Applied and Computational Engineering,11,29-33.

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Radio frequency identification review and development prospect research

Zheng Tan *^,1,

¹ Xidian University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/11/20230200

Abstract

Based on the existing literature and data, this paper starts from the principle of radio frequency identification technology, analyses the situation of the application field of RFID and predicts its development prospect. The results show that RFID technology is a kind of technology that uses the transmission characteristics of RF signals through space alternating electromagnetic coupling to identify targets and thus realize rapid automatic identification. Since it was developed and used in warfare in the mid-twentieth century, RF identification technology has developed rapidly and developed a variety of applications. Today, with the development of electronic technology and communication technology, RF identification technology already has a wide and irreplaceable role in medicine, military and food safety. It is not difficult to imagine that with more joint applications of new technology, radio frequency-related algorithm improvement, radio frequency tag price reduction, and other conditions, the technology will have a more extensive and profound application in the future.

Keywords

RFID, healthcare, algorithms, radio frequency.

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References

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Cite this article

Tan,Z. (2023). Radio frequency identification review and development prospect research. Applied and Computational Engineering,11,29-33.

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About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

Conference website: https://2023.confmss.org/

ISBN：978-1-83558-011-0(Print) / 978-1-83558-012-7(Online)

Conference date: 24 June 2023

Editor：Alan Wang, Seyed Ghaffar

Series: Applied and Computational Engineering

Volume number: Vol.11

ISSN：2755-2721(Print) / 2755-273X(Online)

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