FWA: Visual Food Waste Analysis for Sustainable Kitchens
At a glance
- Project leader : Prof. Dr. Matthias Rosenthal
- Co-project leader : Prof. Dr. Thilo Stadelmann
- Project team : Mohammadreza Amirian, Dr. Ricardo Chavarriaga, Rico Ganahl, Philipp Huber, Dr. Amin Mazloumian, Pascal Sager, Yvan Putra Satyawan, Dr. Frank-Peter Schilling, Raphael Zingg
- Project budget : CHF 435'610
- Project status : completed
- Funding partner : Innosuisse (Innovationsprojekt / Projekt Nr. 36777.1 IP-ICT)
- Project partner : Kitro SA
- Contact person : Matthias Rosenthal
Description
A novel approach for a fully automated food waste management solution for commercial kitchens is investigated. Food waste is automatically detected using a new camera device, preprocessed in real-time and classified using machine learning algorithms.
Publications
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Zingg, Raphael; Andermatt, Philipp; Mazloumian, Amin; Rosenthal, Matthias,
2021.
Smart food waste management : embedded machine learning vs cloud based solutions [paper].
In:
FTAL 2021 : Proceedings of the 2nd FTAL Conference 2021 Sustainable Smart Cities and Regions.
FTAL Conference 2021 – Sustainable smart cities and regions, Lugano, Switzerland, 28-29 October 2021.
CEUR Workshop Proceedings.
Available from: https://doi.org/10.21256/zhaw-23847
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Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter; Rosenthal, Matthias; Stadelmann, Thilo,
2021.
In:
Proceedings of the 8th SDS.
8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.
IEEE.
pp. 26-31.
Available from: https://doi.org/10.1109/SDS51136.2021.00012