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Reference number
Coordinator Stiftelsen Chalmers Industriteknik - Cirkulär ekonomi
Funding from Vinnova SEK 1 892 000
Project duration October 2020 - December 2022
Status Ongoing
Venture Strategic innovation programme for process industrial IT and automation – PiiA
Call PiiA: Digitalization of industrial value chains, spring 2020

Purpose and goal

The project´s objective is to develop an AI-based image recognition system that, together with human process operators, identifies electronic waste in a continuous flow. The purpose of this is to make the pre-treatment step in the recycling of electronic waste more efficient, which would lead to higher material recycling rates, increase process safety and improve the working environment.

Expected results and effects

Upon completion of the project, an AI-based image recognition system for identifying electronic waste has been developed. Over time, the system is able to identify already known products and only leaves products that have not previously entered the waste stream. In addition to that the number of operators can be reduced, and can be used in other parts that are particularly difficult to automate, the project is expected to e.g. result in higher material recycling rates as well as increased process safety and provide a better working environment for electronics recyclers.

Planned approach and implementation

The project is divided into six work packages containing project management and a breakdown of the development work in the form of data collection, development of software for product categorization and image recognition algorithm, integration of developed system and finally a commercialization plan. An important part of the development work will take place at Mirec´s and El-Kretsens´s facilities, respectively. Development of algorithms and software will take place at Chalmers industriteknik. OP technology will plan and provide proposals for automation of the system.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 11 March 2022

Reference number 2020-02848

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