US 12,423,947 B2
Automated linking of diagnostic images to specific assets
Matthew F. Schmidt, River Falls, WI (US); Michael D. Stuart, Issaquah, WA (US); Seyed Navid Roohani Isfahani, Everett, WA (US); Shreyas Shivaram Shastry, Everett, WA (US); Dileepa Prabhakar, Edmonds, WA (US); and Ronald Ainsworth, American Fork, UT (US)
Assigned to Fluke Corporation, Everett, WA (US)
Filed by Fluke Corporation, Everett, WA (US)
Filed on Apr. 21, 2023, as Appl. No. 18/305,047.
Claims priority of provisional application 63/333,736, filed on Apr. 22, 2022.
Prior Publication US 2023/0343066 A1, Oct. 26, 2023
Int. Cl. G06V 10/74 (2022.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06V 10/143 (2022.01); G06V 10/40 (2022.01); G06V 20/60 (2022.01)
CPC G06V 10/761 (2022.01) [G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06V 10/143 (2022.01); G06V 10/40 (2022.01); G06V 20/60 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06V 2201/10 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system for identifying assets, comprising:
one or more processors in communication with a storage device configured to store a first machine learning model associated with a first machine asset and a second machine learning model associated with the first machine asset, wherein the one or more processors are configured to:
acquire a first set of images using a first imaging modality, and a second set of images using a second imaging modality that is different than the first imaging modality;
determine a first feature vector using the first set of images and a second feature vector using the second set of images;
generate a first predicted answer that the first feature vector corresponds with the first machine asset using the first machine learning model and a second predicted answer that the second feature vector corresponds with the first machine asset using the second machine learning model;
calculate an overall similarity score for the first machine asset using the first predicted answer and the second predicted answer; and
identify an asset identifier for the first machine asset based on the overall similarity score for the first machine asset.