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:
Dec. 23, 2025

Filed:

Nov. 14, 2022
Applicant:

Sonix, Inc., Springfield, VA (US);

Inventors:

Kevin Ryan, Silver Spring, MD (US);

John J. Pickerd, Hillsboro, OR (US);

Sam J. Strickling, Cypress, TX (US);

Jeffrey J. Trgovich, Macedonia, OH (US);

Assignee:

Sonix, Inc., Springfield, VA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01N 29/06 (2006.01); G01N 29/26 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G01N 29/0681 (2013.01); G01N 29/26 (2013.01); G01N 2291/023 (2013.01); G01N 2291/101 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30148 (2013.01);
Abstract

In a method and apparatus for automated inspection, an image is acquired of an object under inspection and a difference image is generated showing the difference between the acquired image and a reference image of a defect-free object of the same type. Characteristics of the difference image, or detected isolated regions of the difference image, are passed to an automated defect classifier to classify defects in the object under inspection. The characteristics of the difference image may be pixels of the difference image or features determined therefrom. The features may be extracted using a neural network, for example. The automated defect classifier is trained using difference images and may be further trained, in operation, based on operator classifications and using simulated images of defects identified by an operator.


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