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公开(公告)号:US20210287408A1
公开(公告)日:2021-09-16
申请号:US17189315
申请日:2021-03-02
Applicant: FARO Technologies, Inc.
Inventor: Ariane Stiebeiner , Georgios Balatzis , Stefan Wagner
Abstract: 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.
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公开(公告)号:US12047550B2
公开(公告)日:2024-07-23
申请号:US17695352
申请日:2022-03-15
Applicant: FARO Technologies, Inc.
Inventor: Georgios Balatzis , Francesco Bonarrigo , Andrea Riccardi
IPC: H04N13/271 , G03B35/12 , G06T7/521 , G06T7/593 , G06T7/80 , H04N13/239 , H04N13/246 , H04N13/254 , H04N23/90 , H04N13/00
CPC classification number: H04N13/271 , G03B35/12 , G06T7/521 , G06T7/593 , G06T7/85 , H04N13/239 , H04N13/246 , H04N13/254 , H04N23/90 , G06T2200/04 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/20228 , H04N2013/0081
Abstract: An example method for training a machine learning model is provided. The method includes receiving training data collected by a three-dimensional (3D) imager, the training data comprising a plurality of training sets. The method further includes generating, using the training data, a machine learning model from which a disparity map can be inferred from a pair of images that capture a scene where a light pattern is projected onto an object.
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公开(公告)号:US12086923B2
公开(公告)日:2024-09-10
申请号:US17723676
申请日:2022-04-19
Applicant: FARO Technologies, Inc.
Inventor: Ariane Stiebeiner , Georgios Balatzis , Festim Xhohaj , Antonin Klopp-Tosser
IPC: G06T15/08 , G01N23/046 , G01N23/083 , G06T11/00 , G06T15/50 , G06T17/20
CPC classification number: G06T15/08 , G01N23/046 , G01N23/083 , G06T11/008 , G06T15/50 , G06T17/20 , G01N2223/04 , G01N2223/401 , G01N2223/419 , G06T2200/08 , G06T2211/40
Abstract: 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.
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公开(公告)号:US11748922B2
公开(公告)日:2023-09-05
申请号:US17189315
申请日:2021-03-02
Applicant: FARO Technologies, Inc.
Inventor: Ariane Stiebeiner , Georgios Balatzis , Stefan Wagner
CPC classification number: G06T11/005 , G06T7/0012
Abstract: 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.
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公开(公告)号:US12198414B2
公开(公告)日:2025-01-14
申请号:US17583607
申请日:2022-01-25
Applicant: FARO Technologies, Inc.
Inventor: Michael Müller , Georgios Balatzis
IPC: G06V10/82 , G06N3/08 , G06T3/4046 , G06V10/75
Abstract: Examples described herein provide a method that includes performing, by a processing device, using a neural network, pattern recognition on an image to recognize a feature in the image. The method further includes performing, by the processing device, upscaling of the image to increase a resolution of the image while maintaining the feature to generate an upscaled image.
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公开(公告)号:US20230288912A1
公开(公告)日:2023-09-14
申请号:US18075560
申请日:2022-12-06
Applicant: FARO Technologies, Inc.
Inventor: Georgios Balatzis , Michael Müller
IPC: G05B19/4099 , B23P19/04
CPC classification number: G05B19/4099 , B23P19/04 , G05B2219/49023
Abstract: A computer-implemented method includes identifying, by a controller, a part that is being transported to a workstation. The method further includes capturing a 3D scan of the part using a dynamic machine vision sensor. The method further includes validating the part by comparing the 3D scan of the part with a 3D model of the part. The method further includes, based on a determination that the part is valid, projecting a hologram that includes a sequence of assembly steps associated with the part. The method further includes, upon completion of the sequence of assembly steps, capturing a 3D scan of an item that is assembled using the part. The method further includes validating the item by comparing the 3D scan of the item with a 3D model of the item. The method further includes notifying a validity of the item.
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