Augmented Vision for Industry 4.0: 2nd Edition

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "AI in Imaging".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 460

Special Issue Editors


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Guest Editor
Department of Systems and Computing, Setubal School of Technology, Polytechnic Institute of Setubal, Campus do IPS, Estefanilha, 2910-761 Setubal, Portugal
Interests: digital image processing; computer vision; pattern recognition; machine (deep) learning; visual analytics; artificial intelligence; biomedical image and data analysis; Industry 4.0
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Guest Editor
Centro ALGORITMI, University of Minho, Campus de Azurem, 4800-058 Guimarães, Portugal
Interests: augmented and mixed reality; virtual reality; computer graphics; computer vision; human–machine interaction
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Guest Editor
Department of Computer Science, Faculty of Engineering, Universidad de Antioquia, Medellín, Colombia
Interests: deep learning; computer vision; machine learning
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Special Issue Information

Dear Colleagues,

Industry 4.0 (I4.0) is an innovative paradigm aimed toward the fusion of the digital and physical world through the advent of technologies, an amalgamation of physical and digital systems that have proven to be revolutionary, and enable the communication between physical objects and cyber infrastructures. Condition monitoring is a challenging Industry 4.0 field that features the interfaces needed for smooth information exchange between the plant control system, smart sensing tasks, process visualization unit, and operator. In this sense, the proper combination of emergent techniques, such as computer vision, augmented and mixed reality, and artificial intelligence, are playing a key role in human–machine integration/collaboration tasks, in order to make Industry 4.0 possible, and the concept of “smart factory” a reality more each day.

The aim of this Special Issue is to present and highlight novel algorithms, methods, and applications of emergent techniques for creating augmented and intelligent vision systems for Industry 4.0, providing relevant and contextualized information to the human operators.

Prof. Dr. Miguel Angel Guevara Lopez
Prof. Dr. Luís Gonzaga Mendes Magalhães
Prof. Dr. Raúl Ramos Pollán
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computer vision
  • artificial intelligence
  • semantic scene understanding
  • augmented and mixed reality
  • human–machine interaction
  • condition monitoring
  • visual analytics
  • decision making
  • smart factory
  • Industry 4.0

Published Papers

There is no accepted submissions to this special issue at this moment.
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