Artificial Intelligence enhances Smart RFID Portal for retail

被引：2

作者：

Motroni, Andrea ^{[1
]}

Pino, Marcos R. ^{[2
]}

Buffi, Alice ^{[3
]}

Nepa, Paolo ^{[1
]}

机构：

[1] Univ Pisa, Dept Informat Engn, I-56122 Pisa, Italy

[2] Univ Oviedo, Dept Elect Engn, Gijon 33203, Spain

[3] Univ Pisa, Dept Energy Syst Terr & Construct Engn, I-56122 Pisa, Italy

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON RFID (IEEE RFID 2022) | 2022年

关键词：

Array antenna; Artificial Intelligence; Machine learning; RFID gate; RFID portal; UHF-RFID systems;

D O I：

10.1109/RFID54732.2022.9795981

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates a low-cost implementation of a UHF-RFID portal enhanced by artificial intelligence to assess whether a tag is crossing the portal or it is static in the surrounding. The reference scenario concerns anti-theft systems in fashion stores, where the use of shielded RFID portals is not feasible and spurious tag readings must be filtered by alternative methods. The portal consists of a commercial RFID reader connected to an array antenna placed at the store entrance to monitor the tag crossing. Data processing involves Received Signal Strength Indicator sequences and a comparison among Support Vector Machine (SVM) and several LSTM (Long Short-Term Memory) neural networks investigated to perform classification. System and algorithm validation are conducted through an experimental analysis.

引用

页码：53 / 57

页数：5

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