Qualification of AI-Based Surface Topography Inspection Systems for Inline Measurement in Series Production: Tactile Touch Systems Versus Optical AI Analysis

Author:

Hinz MarcinORCID,Lindworsky Alexander,Bracke Stefan

Publisher

Springer Nature Switzerland

Reference17 articles.

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2. Schmitt, R., Dietrich, E.: Handbook of Measurement Technology in Industrial Production: Planning, Obtaining, Analysing and Distributing Valid Measurement Results. Carl Hanser, München (2023)

3. Fadare, D.A., Oni, A.O.: Development and application of a machine vision system for measurement of surface roughness. ARPN J. Eng. Appl. Sci. 4, 30–37 (2009)

4. Park, J.-K., Kwon, B.-K., Park, J.-H., Kang, D.-J.: Machine learning-based imaging system for surface defect inspection. Int. J. Precis. Eng. Manuf.-Green Tech. 3(3), 303–310 (2016)

5. Danzl, R., Lankmair, T., Calvez, A., Helmi, F.: Robot solutions for automated 3D surface measurement in production. In: Corletto, C. (Hrsg) 18th International Congress of Metrology. EDP Sciences, Les Ulis, France, S 15002 (2017)

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