recAIcle
Project long title
Recycling-oriented collaborative waste sorting by continual learning
Project description
The goal of recAIcle is to support sorting workers in the manual sorting of non-hazardous waste (focus: plastics and batteries) through artificial intelligence (AI) and machine learning (ML). The AI continuously learns passively by observing the experienced sorting workers and supports them in the sorting decision by an augmentation system (light pulses).
Concept recAIcle-system
Aims of the project
The recAIcle system should increase the output of manual sorting with the same number of sorters. Monotony should also be reduced, and the training phase should be made easier for new employees. The machine learning model will continuously learn to adapt to the fluctuations of the input material and to new waste streams.
More information about the project: https://projekte.ffg.at/projekt/4352943
Funding
Österreichische Forschungsförderungsgesellschaft (FFG) - Call AI FOR GREEN
Project partner
Siemens AG Österreich
Pro2Future GmbH
You can send a message directly to the project responsible Mister Dipl.-Ing. Aberger lby using the following form.
Julian Aberger
Dipl.-Ing.
Scientific staff
Phone: +43 3842 / 402-5123
Cell: +43 676 / 84 53 86-5123
Fax: +43 3842 / 402-5102
E-mail: julian.aberger@unileoben.ac.at
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