New AI Software for the Fully Automatic Quality Control of Cells and Modules With Minimal Training Effort and Full Control Over the Results at All Times

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Recording of Wednesday, June 14, 2023 | The smarter E Europe Exhibition Program 2023 | Exhibition Program | Language: English | Duration: 10:12 .

Mr. Matthias Krinke, Geschäftsführender Gesellschafter, pi4 robotics GmbH

Quality control on wafer, cell and module production lines depends on effective characterization. Being able to perform accurate measurements and sorting out any defective products saves costs. Characterization is done through imaging techniques such as infrared, photoluminescence, electroluminescence, and efficiency is determined by current-voltage measurements. We need advancements in software and automation solutions to increase throughput and enable sorting according to performance value. Machine learning and digitalization are widely implemented to make production lines robust and efficient.

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