The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 06, 2025
Filed:
Oct. 13, 2022
Applicant:
Fei Company, Hillsboro, OR (US);
Inventors:
John Flanagan, Hillsboro, OR (US);
Brad Larson, Portland, OR (US);
Thomas Miller, Portland, OR (US);
Assignee:
FEI Company, Hillsboro, OR (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/12 (2016.12); G06F 18/243 (2022.12); G06N 3/045 (2022.12); G06N 3/08 (2022.12); G06N 20/20 (2018.12); G06T 7/00 (2016.12); G06T 7/10 (2016.12); G06T 7/11 (2016.12); G06T 7/13 (2016.12); G06T 7/174 (2016.12); G06T 7/30 (2016.12); G06V 10/26 (2021.12); G06V 10/44 (2021.12); G06V 10/764 (2021.12); G06V 10/82 (2021.12);
U.S. Cl.
CPC ...
G06T 7/12 (2016.12); G06F 18/243 (2022.12); G06N 3/045 (2022.12); G06N 3/08 (2012.12); G06N 20/20 (2018.12); G06T 7/0004 (2012.12); G06T 7/10 (2016.12); G06T 7/11 (2016.12); G06T 7/13 (2016.12); G06T 7/174 (2016.12); G06T 7/30 (2016.12); G06V 10/267 (2021.12); G06V 10/44 (2021.12); G06V 10/764 (2021.12); G06V 10/82 (2021.12); G06T 2207/10056 (2012.12); G06T 2207/10061 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/30148 (2012.12);
Abstract
Methods and systems for implementing artificial intelligence enabled metrology are disclosed. An example method includes segmenting a first image of structure into one or more classes to form an at least partially segmented image, associating at least one class of the at least partially segmented image with a second image, and performing metrology on the second image based on the association with at least one class of the at least partially segmented image.