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Chair of Waste Processing Technology and Waste Management // Montanuniversitaet Leoben


Recaicle 1

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



0 Ffg Logo Österreichische Forschungsförderungsgesellschaft (FFG) - Call AI FOR GREEN


Project partner

Sie-logo-petrol-rgb Siemens AG Österreich

Pro2future 1 Pro2Future GmbH



You can send a message directly to the project responsible Mister Dipl.-Ing. Aberger lby using the following form.

Julian Aberger

Julian Aberger

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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