Self-learning optical sensor
Auf einen Blick
- Projektleiter/in : Prof. Dr. Francesca Venturini
- Projektteam : Michael Baumgartner, Prof. Dr. Christoph Georg Stamm
- Projektstatus : abgeschlossen
- Drittmittelgeber : Innosuisse
- Projektpartner : TOELT GmbH
Beschreibung
The goal is to build a compact and low-cost optical sensor that can learn to classify different vegetable oils based on fluorescence spectroscopy using machine learning. The innovative approach is to use a neural network which learns by examples to classify substances without using analytical substance-specific mathematical models.
Publikationen
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Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.,
2023.
In:
Jalali, Bahram; Kitayama, Ken-ichi, Hrsg.,
AI and Optical Data Sciences IV.
SPIE Photonics West, San Francisco, USA, 28 January - 2 February 2023.
SPIE.
Verfügbar unter: https://doi.org/10.1117/12.2647809
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Sperti, Michela; Gucciardi, Arnaud; Michelucci, Umberto; Venturini, Francesca; Deriu, Marco Agostino .,
2022.
In:
SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.
SPIE.
S. 121391K.
Verfügbar unter: https://doi.org/10.1117/12.2621666
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Sperti, Michela; Michelucci, Umberto; Venturini, Francesca; Gucciardi, Arnaud; Deriu, Marco A.,
2022.
In:
SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.
Verfügbar unter: https://spie.org/EPE/conferencedetails/optical-sensing-detection
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Gucciardi, Arnaud; Michelucci, Umberto; Venturini, Francesca; Sperti, Michela; Martos, Vanessa M.; Deriu, Marco A.,
2022.
In:
SPIE Photonics Europe, Strasbourg, France, 3-7 April 2022.
Verfügbar unter: https://doi.org/10.1117/12.2621588
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Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Herzig, Ivo; Baumgartner, Michael; Caballero, Josep Palau; Jimenez, Arturo; Deriu, Marco Agostino,
2021.
Foods.
10(5), S. 1010.
Verfügbar unter: https://doi.org/10.3390/foods10051010