63057 2025 eng 66 70 conferenceobject Gesellschaft zur Förderung angewandter Informatik e. V. (GFaI) Volmerstraße 3 12489 Berlin 0 -- -- -- For certain cardiovascular diseases, cannulas are implanted into the blood circuit. To match the patients individual anatomy of the heart, there is research for cannulas to be custom-designed and manufactured aided by 3D printing. However, cannulas have to hold very high standards with regard to the smoothness of their surfaces, as rough patches can lead to formation of blood clots. Therefore, this work uses computer vision to detect such patches as part of quality assurance. First, the produced cannula is scanned using a precise CT scanner and transformed into a 3D mesh object. Rough patches in an otherwise smooth but curved surface are detected by using cosine similarity between neighboring faces and a statistical evaluation. In the end, this method is able to raise a warning when curved surfaces are not smooth enough and visualizes the problematic patches. However, there is just limited access to test data currently and the scanner used needs to be upgraded. GFaI Tagungsband 2024 978-3-942709-34-7 https://www.gfai.de 3D in Science & Applications (3D-iSA) 2024 Berlin, Germany 26.11.2024 27.11.2024 publish false true Lennart Siefke Anna Linden eng uncontrolled Algorithm eng uncontrolled Additive manufacturing eng uncontrolled Surface evaluation Ingenieurwissenschaften und zugeordnete Tätigkeiten 5 Werkstofftechnik 5.4 Multimateriale Fertigungsprozesse Material Datei im Netzwerk der BAM verfügbar ("Closed Access") Graue Literatur Additive Fertigung