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Technical Note

Artificial Intelligence in the Sorting of Municipal Waste as an Enabler of the Circular Economy

1
Wuppertal Institute for Climate, Environment and Energy gGmbH, 42103 Wuppertal, Germany
2
Centre for Innovation in Smart Infrastructure in Guadalajara, 19005 Guadalajara, Spain
3
Ferrovial Services, 28050 Madrid and 08038 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Eva Pongrácz and Jenni Ylä-Mella
Received: 10 January 2021 / Revised: 16 March 2021 / Accepted: 18 March 2021 / Published: 29 March 2021
(This article belongs to the Special Issue Municipal and Industrial Waste Management)
The recently finalized research project “ZRR for municipal waste” aimed at testing and evaluating the automation of municipal waste sorting plants by supplementing or replacing manual sorting, with sorting by a robot with artificial intelligence (ZRR). The objectives were to increase the current recycling rates and the purity of the recovered materials; to collect additional materials from the current rejected flows; and to improve the working conditions of the workers, who could then concentrate on, among other things, the maintenance of the robots. Based on the empirical results of the project, this paper presents the main results of the training and operation of the robotic sorting system based on artificial intelligence, which, to our knowledge, is the first attempt at an application for the separation of bulky municipal solid waste (MSW) and an installation in a full-scale waste treatment plant. The key questions for the research project included (a) the design of test protocols to assess the quality of the sorting process and (b) the evaluation of the performance quality in the first six months of the training of the underlying artificial intelligence and its database. View Full-Text
Keywords: artificial intelligence; circular economy; municipal solid waste artificial intelligence; circular economy; municipal solid waste
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MDPI and ACS Style

Wilts, H.; Garcia, B.R.; Garlito, R.G.; Gómez, L.S.; Prieto, E.G. Artificial Intelligence in the Sorting of Municipal Waste as an Enabler of the Circular Economy. Resources 2021, 10, 28. https://0-doi-org.brum.beds.ac.uk/10.3390/resources10040028

AMA Style

Wilts H, Garcia BR, Garlito RG, Gómez LS, Prieto EG. Artificial Intelligence in the Sorting of Municipal Waste as an Enabler of the Circular Economy. Resources. 2021; 10(4):28. https://0-doi-org.brum.beds.ac.uk/10.3390/resources10040028

Chicago/Turabian Style

Wilts, Henning, Beatriz R. Garcia, Rebeca G. Garlito, Laura S. Gómez, and Elisabet G. Prieto. 2021. "Artificial Intelligence in the Sorting of Municipal Waste as an Enabler of the Circular Economy" Resources 10, no. 4: 28. https://0-doi-org.brum.beds.ac.uk/10.3390/resources10040028

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