Computer Vision

In recycling of WEEE (Waste Electrical and Electronic Equipment) manual labour is extensively used in the pre-sorting and categorization of the WEEE. This is mainly because recyclers must ensure that products containing environmentally, and health hazardous components are sorted out for subsequent disassembly.
There have been several attempts to automate these steps using AI based image recognition. All these efforts have however failed due to the large variability of the electronic equipment that can come into a recycling plant, and the fact that new products are coming to the market everyday. Manual labelling of WEEE objects required for training AI based computer vision systems is labour extensive and as result expensive procedure.

To tackle this problem, automated labelling procedures based on monitoring existing industrial recycling processes were suggested and developed. This work has been done on two different recycling facilities, El-Kretsen sorting and categorization station at EXSE plant in Arboga, and NG Metalls recycling plant at Katrineholm.

Download project poster

More projects

PLA bio-based plastics from secondary raw materials

The purpose of this project is to develop a techno-economically viable production route for PLA, Polylactic acid, from second generation raw materials such as side streams from the…



In this project we place the users of the product pass and their needs in the centre. The aim is to increase the insight regarding what product information that is relevant, for th…


AutoWEEEdakt II – Automatic AI based WEEE recognition system

In 2020, the EU recycled 4.7 million tons of electronic waste with a low collection rate. In the AutoWEEEdakt II project, we employ artificial intelligence to enhance sorting and i…