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Middleware – Software Support in Items Identification by Using the UHF RFID Technology

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Abstract

This article deals with RFID technology, which is a part of automatic identification and data capture. Nowadays, the identification of items in logistic sector is carried through barcodes. In this article we would like to specify, how items can be located in metal container, identified in the transmission process of logistics chain by UHF RFID technology. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina. Our research contains of 12 different types of orientation tags and antennas and more than 1000 tests. Our identification performance was close to 100 %. All tested items have been located in metal container. The results of our research bring the new point of view and indicate the ways of using UHF RFID technology in logistic applications. The utilization of the RFID technology in logistics chain is characterized at the end of this article.

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Acknowledgments

This article was created to support project named as:

Centre of Excellence for Systems and Services of Intelligent Transport II

TMS 26220120050 supported by the Research & Development Operational Programme funded by the ERDF.

E!7592 AUTOEPCIS - RFID Technology in Logistic Networks of Automotive Industry.

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Correspondence to Peter Kolarovszki .

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Kolarovszki, P., Vaculík, J. (2014). Middleware – Software Support in Items Identification by Using the UHF RFID Technology. In: Stojmenovic, I., Cheng, Z., Guo, S. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-11569-6_28

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  • DOI: https://doi.org/10.1007/978-3-319-11569-6_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11568-9

  • Online ISBN: 978-3-319-11569-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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