dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.contributor
Universitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica
dc.contributor
Universitat Politècnica de Catalunya. Doctorat en Intel·ligència Artificial
dc.contributor
Universitat Politècnica de Catalunya. WNG - Grup de xarxes sense fils
dc.contributor.author
Catalán Cid, María Luisa
dc.contributor.author
Hjeij, Mohamad Kassem
dc.contributor.author
Boixader Coma, Aleix
dc.contributor.author
Bonnett, Percy
dc.contributor.author
Montagut Climent, Mario
dc.contributor.author
Escrig Escrig, Josep
dc.contributor.author
Brugues, Josep
dc.contributor.author
Adame, Toni
dc.contributor.author
Labella, Carlos
dc.contributor.author
Huerta, Ivan
dc.contributor.author
Urias, Miguel
dc.date.accessioned
2026-03-03T00:32:18Z
dc.date.available
2026-03-03T00:32:18Z
dc.identifier
Catalan, M. [et al.]. Towards IoT ambient intelligence for Industry 4.0. A: International Conference on Future Internet of Things and Cloud. «2023 International Conference on Future Internet of Things and Cloud: FiCloud 2023: proceedings: 14-16 August 2023, hybrid event, Marrakech, Morocco». Institute of Electrical and Electronics Engineers (IEEE), 2023, p. 142-148. ISBN 979-8-3503-1635-3. DOI 10.1109/FiCloud58648.2023.00029 .
dc.identifier
979-8-3503-1635-3
dc.identifier
https://hdl.handle.net/2117/456389
dc.identifier
10.1109/FiCloud58648.2023.00029
dc.identifier.uri
https://hdl.handle.net/2117/456389
dc.description.abstract
The advances in Internet of Things (IoT), sensors, communications, artificial intelligence, and augmented reality technologies make it possible to conceive smart spaces able to monitor the environment, generate enhanced context information (for example, accurate positioning, situational awareness), take logical decisions, and adapt to the environment’s characteristics and user needs intelligently. These developments fit under the Ambient Intelligence idea, which strives to close the gap between the virtual and real worlds. This paper’s main goal is to illustrate how these technologies might be applied in an Industry 4.0 environment to boost IoT ambient intelligence and raise worker safety. Ultra-Wideband (UWB), Computer Vision (CV), Visible Light Positioning (VLP), Optical Camera Communications (OCC), and Augmented Reality (AR) are some of the technologies used. The paper reports on a practical application of these technologies to provide the position and related information from humans, moving autonomous vehicles and other IoT sensors, by using a diverse range of detection methods and user-friendly AR presentation and interaction features, with can contribute to enhance the productivity and safety in Industry 4.0 environments.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
https://www.computer.org/csdl/proceedings-article/ficloud/2023/163500a142/1U6qDCMW4Io
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject
Internet of things
dc.subject
Internet de les coses
dc.title
Towards IoT ambient intelligence for Industry 4.0
dc.type
Conference report
