MICROSCOPIC FIDUCIAL MARKERS FOR INDUSTRIAL METROLOGY APPLICATIONS
Abstract
Metrology and quality control are essential for advancing European manufacturing toward zero-defect and sustainable production. Integrating optical measurement with computer vision and digital twins enables real-time monitoring and precise process optimization. Accurate alignment of high-resolution 3D data is critical for automating workflows and reducing uncertainty in complex manufacturing environments. This paper explores a fiducial microscopical marker-based approach to improve 3D dataset alignment in optical metrology, particularly for focus variation systems. Two microscale marker designs—mechanical indentations and precision-milled crosses—were evaluated for use with Alicona Infinite Focus systems.
Full Text:
PDFReferences
Foivos Psarommatis, Victor Azamfirei, Zero Defect Manufacturing
Systems,Volume 77, 2024, Pages 764-779, ISSN 0278- 6125,
https://doi.org/10.1016/j.jmsy.2024.10.022.
Catalucci, S., Thompson, A., Piano, S., Branson, D. T., & Leach, R. (2022). Optical metrology for digital manufacturing: a review. International Journal of Advanced Manufacturing Technology, 120(7-8), 4271-4290.
https://doi.org/10.1007/s00170-022-09084-5
Rahmatov N, Paul A, Saeed F, Hong W-H, Seo H, Kim J. Machine learning–based automated image processing for quality management in industrial Internet of Things. International Journal of Distributed Sensor Networks. 2019;15(10). https://doi.org/10.1177/1550147719883551
Danzl, R., Helmli, F., & Scherer, S.(2011). Focus Variation – a Robust Technology for High Resolution Optical 3D Surface Metrology.
Strojniški vestnik - Journal of Mechanical Engineering, 57(3), 245-256.
http://dx.doi.org/10.5545/sv-jme.2010.175
Lewis Newton,Nicola Senin,Carlos Gomez,Reinhard Danzl,Franz Helmli,Liam Blunt,Richard Leach, Areal topography measurement of metal additive surfaces using focus variation microscopy, Additive Manufacturing, Elsevier, 2019
http://dx.doi.org/10.1016/j.addma.2018.11.013
J. Sheriff, I.W. Fletcher, P.J. Cumpson,
Computer-readable Image Markers for Automated Registration in Correlative Microscopy
Ultramicroscopy,Volume 228,2021,113322,ISSN 0304-3991,
https://doi.org/10.1016/j.ultramic.2021.113322.
Bradski, G. (2000) The OpenCV Library. Dr. Dobb’s Journal of Software Tools, 120; 122-125.
Kabsch, W. (1976). A solution for the best rotation to relate two sets of vectors. Acta Crystallographica Section A, 32(5), 922–923.
https://doi.org/10.1107/S0567739476001873
Gauss, C. F. (1809). Theoria motus corporum coelestium in sectionibus conicis solem ambientium. https://www.researchgate.net/publication/364785738_Theoria_Motus_Corporum_Coelestium_in_Sectionibus_Conicis_Solem_Ambientium
Besl,P.J.,&McKay,N.D.(1992). A method for registration of 3-D shapes.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2), 239–256.
https://doi.org/10.1109/34.121791
Refbacks
- There are currently no refbacks.

