DeKIBat
Research project, “Defect detection using the implementation and verification of AI-supported multisensor systems in battery cell manufacturing”
The DeKIBat project is developing innovative quality control methods for the manufacture of electrodes for lithium-ion batteries. The focus is on AI-based detection of surface and volume defects. The goal is to reduce scrap and improve product quality in battery cell production.
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