US 12,217,170 B2
Data handling and machine learning
Anthony George, Columbus, OH (US); Nicholas Darby, Columbus, OH (US); Jeremy Bellay, Columbus, OH (US); David Collins, Galloway, OH (US); Katie Liszewski, Powell, OH (US); and Amir Rahimi, Columbus, OH (US)
Assigned to Battelle Memorial Institute, Columbus, OH (US)
Filed by Battelle Memorial Institute, Columbus, OH (US)
Filed on Mar. 29, 2021, as Appl. No. 17/216,057.
Claims priority of provisional application 63/000,962, filed on Mar. 27, 2020.
Prior Publication US 2021/0304002 A1, Sep. 30, 2021
Int. Cl. G01R 31/28 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 3/088 (2023.01)
CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method implemented by a software for a multimodal evaluation engine stored on a memory and executable by one or more processors coupled to the memory, the method comprising:
receiving, by the multimodal evaluation engine, a plurality of multimodal signatures of an object of interest from one or more inspection elements, wherein the plurality of multimodal signatures comprise visible light, infrared, electromagnetic interference, and laser profilometry;
processing, by the multimodal evaluation engine, the plurality of multimodal signatures to transform the plurality of multimodal signatures into one or more formats;
generating, by the multimodal evaluation engine, data representations of the one or more formats; and
detecting, by the multimodal evaluation engine, whether one or more anomalies are present within the object of interest based on the data representations.