US 12,455,379 B2
Cloud-to-cloud comparison using artificial intelligence-based analysis
Matthias Wolke, Korntal-Münchingen (DE); and Georgios Balatzis, Fellbach (DE)
Assigned to FARO Technologies, Inc., Lake Mary, FL (US)
Filed by FARO Technologies, Inc., Lake Mary, FL (US)
Filed on Nov. 23, 2021, as Appl. No. 17/533,753.
Claims priority of provisional application 63/121,563, filed on Dec. 4, 2020.
Prior Publication US 2022/0179083 A1, Jun. 9, 2022
Int. Cl. G01S 17/89 (2020.01); G06N 3/08 (2023.01)
CPC G01S 17/89 (2013.01) [G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
training a neural network to identify a deformity associated with an object;
aligning, by a processing device, a measurement point cloud for an object with reference data for the object;
determining, by the processing device using the neural network, a deviation associated with the object;
wherein the measurement point cloud is a three-dimensional (3D) point cloud;
transforming, by the processing device, the 3D point cloud into a 2.5-dimensional (2.5D) matrix; and
performing evaluations of the 2.5D matrix using the neural network on-the-fly during scanning of the object as the points of the 3D point cloud are received and processed by the processing device to identify the deviation associated with the object based on how the object is normally without the deviation.