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.

Date of Patent:
Mar. 28, 2023

Filed:

Jul. 09, 2020
Applicant:

Bruker Nano, Inc., Santa Barbara, CA (US);

Inventors:

David Lewis Adler, San Jose, CA (US);

Scott Joseph Jewler, San Jose, CA (US);

Douglas A. Chrissan, Los Gatos, CA (US);

Assignee:

Bruker Nano, Inc., Santa Barbara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 20/00 (2019.01); G06F 30/398 (2020.01); G01N 23/04 (2018.01); G01N 23/083 (2018.01); G01N 23/18 (2018.01); G01T 1/20 (2006.01); G06K 9/62 (2022.01); G06T 5/00 (2006.01); H01L 21/67 (2006.01); H05K 1/11 (2006.01); H05K 3/40 (2006.01); G06F 119/18 (2020.01); G06F 115/12 (2020.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G01N 23/04 (2013.01); G01N 23/043 (2013.01); G01N 23/083 (2013.01); G01N 23/18 (2013.01); G01T 1/20 (2013.01); G06F 30/398 (2020.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06N 20/00 (2019.01); G06T 5/007 (2013.01); G06T 7/0012 (2013.01); H01L 21/67288 (2013.01); H05K 1/115 (2013.01); H05K 3/4038 (2013.01); G01N 2223/04 (2013.01); G01N 2223/401 (2013.01); G01N 2223/426 (2013.01); G01N 2223/505 (2013.01); G01N 2223/6466 (2013.01); G06F 2115/12 (2020.01); G06F 2119/18 (2020.01); G06T 2207/10081 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20208 (2013.01); G06T 2207/30004 (2013.01);
Abstract

In one embodiment, an X-ray inspection system may access a first set of X-ray images of one or more first samples that are labeled as being non-conforming. The system may adjust a classification algorithm based on the first set of X-ray images. The classification algorithm may classify samples into conforming or non-conforming categories based on an analysis of corresponding X-ray images. The system may analyze a second set of X-ray images of a number of second samples using the adjusted classification algorithm. The second samples may be previously inspected samples that have been classified as conforming by the classification algorithm during a previous analysis before the classification algorithm is adjusted. The system may identify one or more of the second samples from the second set of X-ray images. Each identified second sample may be classified as non-conforming by the adjusted classification algorithm.


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