ENIGMA: Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation

Francesco Ragusa, Francesco Ragusa, Antonino Furnari, Antonino Furnari, Antonino Lopes, Marco Moltisanti, Emanuele Ragusa, Marina Samarotto, Luciano Santo, Nicola Picone, Leo Scarso, Giovanni Farinella, Giovanni Farinella

2023

Abstract

We present ENIGMA (Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation), an integrated system to support workers in an industrial laboratory. ENIGMA includes a wearable assistant which understands the worker’s behavior through Computer Vision algorithms which 1) localize the operator, 2) recognize the objects present in the laboratory, 3) detect the human-object interactions which happen and 4) anticipate the next-active object with which the worker will interact. Furthermore, a back-end extracts high semantic information about the worker behavior to provide useful services and to improve his safety. Preliminary experiments were conducted showing good performance on the tasks of localization, object detection and recognition and egocentric human-object interaction detection considering the challenging industrial scenario.

Paper Citation

in Harvard Style

Ragusa F., Furnari A., Lopes A., Moltisanti M., Ragusa E., Samarotto M., Santo L., Picone N., Scarso L. and Farinella G. (2023). ENIGMA: Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 695-702. DOI: 10.5220/0011787900003417

in Bibtex Style

@conference{visapp23,
author={Francesco Ragusa and Antonino Furnari and Antonino Lopes and Marco Moltisanti and Emanuele Ragusa and Marina Samarotto and Luciano Santo and Nicola Picone and Leo Scarso and Giovanni Farinella},
title={ENIGMA: Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={695-702},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011787900003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - ENIGMA: Egocentric Navigator for Industrial Guidance, Monitoring and Anticipation
SN - 978-989-758-634-7
AU - Ragusa F.
AU - Furnari A.
AU - Lopes A.
AU - Moltisanti M.
AU - Ragusa E.
AU - Samarotto M.
AU - Santo L.
AU - Picone N.
AU - Scarso L.
AU - Farinella G.
PY - 2023
SP - 695
EP - 702
DO - 10.5220/0011787900003417
PB - SciTePress