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:
Oct. 13, 2020

Filed:

Jul. 22, 2019
Applicant:

Applied Materials Israel Ltd., Rehovot, IL;

Inventors:

Ohad Shaubi, Yavne, IL;

Assaf Asbag, Alfei Menashe, IL;

Idan Kaizerman, Meitar, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G05B 23/00 (2006.01); G05B 23/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G05B 23/00 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06K 9/6269 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G05B 23/0235 (2013.01); G05B 2219/2602 (2013.01); G05B 2219/37066 (2013.01); G05B 2219/37224 (2013.01); G05B 2219/37519 (2013.01); G05B 2219/40565 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30148 (2013.01);
Abstract

There is provided a system that includes a review tool configured to review at least part of potential defects of an examined object, and assign each of the at least part of the potential defects with a multiplicity of attribute values. The system also includes a computer-based classifier configured to classify, based on the attribute values as assigned, the at least part of potential defects into a set of classes, the set comprising at least a first major class, a second major class and a first minor class, the classifier trained based on a training set comprising a multiplicity of training defects with assigned attribute values, the training defects classified into the set of classes.


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