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Ines Müller

Ines Müller, M.Sc., earned her master's degree in Applied Information Technology from Lübeck University of Applied Sciences in 2023 while conducting her master's thesis at Chromasens GmbH on automated anomaly detection using machine learning techniques. After completing her studies, she joined Chromasens GmbH as a Vision Application Engineer.

Photos/Chromasens
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Study Examines iBattery Electrode Foil Inspection Options

Study looks at Deep Learning techniques, illumination geometries, in ibattery foil inspection.
July 24, 2024