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Visual Food Waste Analysis for Sustainable Kitchens (FWA)

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.

Key data

Project team

Dr. Amin Mazloumian, Raphael Zingg, Dr. Ricardo Chavarriaga, Pascal Sager, Philipp Huber, Rico Ganahl, Mohammadreza Amirian, Prof. Dr. Frank-Peter Schilling, Yvan Putra Satyawan, Dominic Mösch, Philipp Andermatt

Project partners

Kitro SA

Project status

completed, 07/2019 - 09/2021

Institute/Centre

Institute of Embedded Systems (InES); Centre for Artificial Intelligence (CAI); Institute of Computer Science (InIT)

Funding partner

Innovationsprojekt / Projekt Nr. 36777.1 IP-ICT

Project budget

435'610 CHF