SmartCT - Development of AI based methods for automation of RoboCT scan procedures

Sukowski F, Rauch D, Schielein R, Schön T, Waldyra A, Fries M, Maier A, Schneider LS, Herl G, Wittl S, Zabler S, Zeitel S, Bissels J, Becker C (2024)

Publication Language: English

Publication Type: Journal article

Publication year: 2024

Journal

e-Journal of Nondestructive Testing

Book Volume: 29

Event location: Wels AT

Issue: 3

DOI: 10.58286/29232

Abstract

The SmartCT system consists of AI based methods that assist users of robot-based CT systems (RoboCT) to digitalize industrial parts of almost arbitrary size and geometrical complexity with a high degree of automation. Due to the high number of degrees of freedom and thus complexity, RoboCT scan procedures are difficult to parametrize with respect to collision safety and image quality. The SmartCT assist functions help users to perform measurements quickly and safely while using advanced algorithms for geometrical image correction and 3D-CT volume reconstruction.

Authors with CRIS profile

Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Linda-Sophie Schneider Lehrstuhl für Informatik 5 (Mustererkennung)

Additional Organisation(s)

Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE) Technische Hochschule Deggendorf / Deggendorf Institute of Technology DE Germany (DE) Pinter Guss GmbH DE Germany (DE) Max-Streicher GmbH & Co. KG DE Germany (DE) Becker Carbon GmbH DE Germany (DE)

How to cite

APA:

Sukowski, F., Rauch, D., Schielein, R., Schön, T., Waldyra, A., Fries, M.,... Becker, C. (2024). SmartCT - Development of AI based methods for automation of RoboCT scan procedures. e-Journal of Nondestructive Testing, 29. https://doi.org/10.58286/29232

MLA:

Sukowski, Frank, et al. "SmartCT - Development of AI based methods for automation of RoboCT scan procedures." e-Journal of Nondestructive Testing 29 (2024).

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