Faro Technologies, Inc.

Ariane Stiebeiner

Robert E Bridges

Rolf Heidemann

Bernd-Dietmar Becker

Matthias Wolke

Georgios Balatzis

Stefan Wagner

Simon Raab

Festim Xhohaj

Antonin Klopp-tosser

Georgio Balatzis

Examples described herein provide a method that includes obtaining, by a processing device, three-dimensional (3D) voxel data. The method further includes performing, by the processing device, gray value thresholding based at least in part on the 3D voxel data and assigning a classification value to at least one voxel of the 3D voxel data. The method further includes defining, by the processing device, segments based on the classification value. The method further includes filtering, by the processing device, the segments based on the classification value. The method further includes evaluating, by the processing device, the segments to identify a surface voxel per segment. The method further includes determining, by the processing device, a position of a surface point within the surface voxel.

Surface determination using three-dimensional voxel data

Provided are embodiments of a method for performing automatic analysis of cross-sections of micro-channels. Embodiments includes receiving tomography scan data, aligning the tomography scan data, and extracting channels from a slice of the tomography scan data to create an isolated slice of the extracted channel. Embodiments also include determining surface voxels for the extracted channels, and determining an area defined within the surface voxels for each of the extracted channels. Embodiments include determining a contribution of the surface voxels for each of the extracted channels to the cross-section of the extracted channels, and outputting cross-section information based on the contribution of the surface voxels. Also provided are embodiments of a system for performing automatic analysis of cross-sections of micro-channels.

Automated channel cross-section measurement for microfluidic channels

A system and method of inspecting a plurality of objects using a computed tomography (CT) system is provided. The method includes acquiring an image of a fixture used for holding the plurality of objects with the CT system. A first electronic model of the fixture is generated. The objects are placed in the fixture. An image of the fixture and the objects is acquired with the CT system. A second electronic model of the fixture and the objects is generated. A third electronic model of the objects is defined based at least in part on subtracting the first electronic model from the second electronic model. Dimensions of the objects from the third electronic model are compared with a computer aided design (CAD) model. A report is output based at least in part on the comparison of the objects from the third electronic model with the CAD model.

Part inspection method using computed tomography

A dimensional measuring device includes an overview camera and a triangulation scanner. A six-DOF tracking device tracks the dimensional measuring device as the triangulation scanner measures three-dimensional (3D) coordinates on an exterior of the object. Cardinal points identified by the overview camera are used to register in a common frame of reference 3D coordinates measured by the triangulation scanner on the interior and exterior of the object.

Registration of three-dimensional coordinates measured on interior and exterior portions of an object

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Stuttgart, Germany

Ariane Stiebeiner