Paper
29 May 2007 3D digitizing path planning for part inspection with laser scanning
Mussa Mahmud, David Joannic, Jean-François Fontaine
Author Affiliations +
Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 635603 (2007) https://doi.org/10.1117/12.736686
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France
Abstract
If the first work relating to the automation of the digitalization of machine elements goes back to approximately 25 years, the process of digitalization of parts with non-contact sensor remains nevertheless complex. It is not completely solved today, in particular from a metrological point of view. In this article, we consider the determination of the trajectory planning within the framework of the control of dimensional and geometrical specifications. The sensor used in this application is a laser planner scanner with CCD camera oriented and moved by a CMM. For this purpose, we have focused on the methodology used to determine the best possible viewpoints which will satisfy the digitizing of a mechanical part. The developed method is based on the concept of visibility: for each facet of a part CAD Model (STL) a set of orientations, called real visibility chart, is calculated under condition of measurement uncertainties. By application of several optimisation criteria, the real visibility chart is reduced to create a viewpoint set from which the path planning is built.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mussa Mahmud, David Joannic, and Jean-François Fontaine "3D digitizing path planning for part inspection with laser scanning", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 635603 (29 May 2007); https://doi.org/10.1117/12.736686
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Visibility

Sensors

Inspection

Laser scanners

Metrology

Tolerancing

Cameras

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