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, R.; Merenda, M.; Iero, D.; Della Corte, F. G.. - (2020), pp. 1-6. (Intervento presentato al convegno 5th International Conference on Smart and Sustainable Technologies, SpliTech 2020 tenutosi a University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), hrv nel 2020) [10.23919/SpliTech49282.2020.9243703].
Indoor Object Positioning using Smartphone and RFID or QRCode
Della Corte F. G.
2020
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 achievedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
