Augmented reality and intelligent systems in Industry 4.0

Benassi, A.; Carboni, A.; Colantonio, Sara; Coscetti, Simone; Germanese, Danila; Jalil, Bushra; Leone, Riccardo G.; Magnavacca, James; Magrini, Massimo; Martinelli, Massimo; Matarese, Fabrizio; Moroni, Davide; Paradisi, Paolo; Pardini, Francesca; Pascali, Maria Antonietta; Pieri, Gabriele; Reggiannini, Marco; Righi, Marco; Salvetti, Ovidio; Tampucci, Marco

doi:10.5281/zenodo.4277713

Search citation statements

Order By: Relevance

Paper Sections

Select...

The Tissue Converting Scenario1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Other1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To be fully exploited such pervasive information requires the development of novel intelligent interfaces for the operators to enable them to monitor the line in real-time and be timely informed about events requiring their intervention [2], [3].…”

Section: The Tissue Converting Scenariomentioning

confidence: 99%

ARTiCo - AR in Tissue Converting

Moroni

Pieri

Tampucci

et al. 2022

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Work

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: The Tissue Converting Scenariomentioning

confidence: 99%