公开(公告)号：US20240004076A1

公开(公告)日：2024-01-04

申请号：US18339620

申请日：2023-06-22

Applicant: FARO Technologies, Inc.

Inventor： Louis BERGMANN ,  Vadim DEMKIV ,  Daniel FLOHR

IPC: G01S17/89 ,  G06V20/64 ,  G06V10/30 ,  G06F18/214

CPC classification number: G01S17/89 ,  G06V20/647 ,  G06V10/30 ,  G06V20/64 ,  G06F18/2148 ,  G06V2201/121

Abstract: A system and a method for removing artifacts from a 3D coordinate data are provided. The system includes one or more processors and a measuring device. The one or more processors are operable to receive training data and train the 3D measuring device to identify artifacts by analyzing the training data. The one or more processors are further operable to identify artifacts in live data based on the training of the processor system. The one or more processors are further operable to generate clear scan data by filtering the artifacts from the live data and output the clear scan data.

公开(公告)号：US20230376636A1

公开(公告)日：2023-11-23

申请号：US18362477

申请日：2023-07-31

Applicant: FARO Technologies, Inc.

Inventor： Martin OSSIG ,  Oswin HORVATH ,  Daniel FLOHR

IPC: G06F21/64 ,  G06Q10/083 ,  H04L9/32 ,  G06F21/60 ,  H04L9/00

CPC classification number: G06F21/64 ,  G06Q10/0838 ,  H04L9/3247 ,  G06F21/606 ,  H04L9/50

Abstract: A method that includes providing a database for storing meta-data that describes steps in a workflow and an order of the steps in the workflow. The meta-data includes, for each of the steps: a reference to an input data file for the step; a description of a transaction performed at the step; and a reference to an output data file generated by the step based at least in part on applying the transaction to the input data file. Data that includes meta-data for a step in the workflow is received and the data is stored in the database. A trace of the workflow is generated based at least in part on contents of the database. The generating is based on receiving a request from a requestor for the trace of the workflow. At least a subset of the trace is output to the requestor.

公开(公告)号：US20210065431A1

公开(公告)日：2021-03-04

申请号：US17011282

申请日：2020-09-03

Applicant: FARO Technologies, Inc.

Inventor： Louis BERGMANN ,  Daniel FLOHR

IPC: G06T15/08 ,  G06T5/00 ,  G06K9/62

Abstract: An example method for training a neural network includes generating a training data set of point clouds. The training data set includes pairs of closed surfaces point clouds and non-closed surfaces point clouds. The method further includes, for each of the closed surface point clouds and the non-closed surface point clouds, generating a two-dimensional (2D) image by rendering a three-dimensional scene. The 2D image for the non-closed surfaces point clouds includes a gap in a surface, and the 2D image for the closed surfaces point clouds are free of gaps. The method further includes training the neural network to generate a trained neural network. The method further includes filling, using the trained neural network, gaps between scan points of the 2D image, and de-noising, using the trained neural network, scan point cloud data to generate a closed surface image of the scan point cloud data.