For fully up-taking the advances achieved in pervasive monitoring systems within Industry 4.0, novel intelligent interfaces are needed to ease interactions with human personnel and enable them to access the available data and services ergonomically. To this end, we present a mobile app based on augmented reality that allows operators to receive location-aware notifications and access and visualize real-time information and guidance for troubleshooting and plant maintenance. The app has been tailored to respond to the needs of a specific scenario, i.e. tissue converting, where it has provided encouraging results.

ARTiCo - AR in tissue converting

Moroni D;Pieri G;Tampucci M;
2022

Abstract

For fully up-taking the advances achieved in pervasive monitoring systems within Industry 4.0, novel intelligent interfaces are needed to ease interactions with human personnel and enable them to access the available data and services ergonomically. To this end, we present a mobile app based on augmented reality that allows operators to receive location-aware notifications and access and visualize real-time information and guidance for troubleshooting and plant maintenance. The app has been tailored to respond to the needs of a specific scenario, i.e. tissue converting, where it has provided encouraging results.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
PERCOM 2022 - IEEE International Conference on Pervasive Computing and Communications
94
96
978-1-6654-1647-4
https://ieeexplore.ieee.org/document/9767409
IEEE
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
21-25/03/2022
Pisa, Italy
Augmented reality
Mobile app
Predictive maintenance
Pervasive vision
Smart cameras
Tissue converting
Industry 4.0
4
partially_open
Moroni, D; Pieri, G; Tampucci, M; Masini, D
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Descrizione: ARTiCo - AR in Tissue Converting
Tipologia: Versione Editoriale (PDF)
Dimensione 12.9 MB
Formato Adobe PDF
12.9 MB Adobe PDF Visualizza/Apri

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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/443680
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