Positioning objects such as appliances inside rooms has become of fundamental importance in the Internet o Things (IoT) and òòin-home automation, as well as in augmented reality (AR). A new positioning system based on a smartphone and radio-frequency identification (RFID) tags applied to the objects to be localized is presented. The 3D positioning of the smartphone is obtained through an ultrasound system while its orientation in space is obtained with the onboard magnetometers and accelerometers. When a certain RFID tag is read through the near-field communication (NFC) interface of the smartphone, from its distance and from the orientation of the smartphone that reads it, the 3D position of the tagged object is obtained. The system architecture is explained and simulation results are presented. Positioning accuracy of about ten centimeters is achieved.

Indoor Object Positioning using Smartphone and RFID or QRCode

Carotenuto, Riccardo;Merenda, Massimo
;
Iero, Demetrio;Della Corte, Francesco Giuseppe
2020-01-01

Abstract

Positioning objects such as appliances inside rooms has become of fundamental importance in the Internet o Things (IoT) and òòin-home automation, as well as in augmented reality (AR). A new positioning system based on a smartphone and radio-frequency identification (RFID) tags applied to the objects to be localized is presented. The 3D positioning of the smartphone is obtained through an ultrasound system while its orientation in space is obtained with the onboard magnetometers and accelerometers. When a certain RFID tag is read through the near-field communication (NFC) interface of the smartphone, from its distance and from the orientation of the smartphone that reads it, the 3D position of the tagged object is obtained. The system architecture is explained and simulation results are presented. Positioning accuracy of about ten centimeters is achieved.
2020
978-953-290-105-4
Three-dimensional displays, Ultrasonic imaging, Magnetometers, Simulation, Systems architecture, Internet of Things, RFID tags
File in questo prodotto:
File Dimensione Formato  
Carotenuto_2020_SpliTech2020_Indoor_Post.pdf

accesso aperto

Tipologia: Documento in Post-print
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 557.27 kB
Formato Adobe PDF
557.27 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/67592
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact