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:
Aug. 15, 2023

Filed:

Sep. 03, 2020
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Xiao Bian, Santa Clara, CA (US);

Bernard Patrick Bewlay, Niskayuna, NY (US);

Colin James Parris, Brookfield, CT (US);

Feng Xue, Clifton Park, NY (US);

Shaopeng Liu, Clifton Park, NY (US);

Arpit Jain, Dublin, CA (US);

Shourya Sarcar, Niskayuna, NY (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/25 (2022.01); G06F 16/583 (2019.01); G06F 16/51 (2019.01); G06F 16/901 (2019.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 16/583 (2019.01); G06F 16/51 (2019.01); G06F 16/9014 (2019.01); G06N 3/045 (2023.01); G06V 10/25 (2022.01);
Abstract

A method of inspecting a component using an image retrieval module includes storing an inspection image file in a memory and identifying a region of interest in the inspection image file. The method further includes accessing a database storing image files and determining feature vectors associated with the image files. The method also includes determining a hash code for each image file based on the feature vectors and classifying a subset of image files as relevant based on the hash codes. The method further includes sorting the subset of image files based on the feature vectors and generating search results based on the sorted subset of image files. The image retrieval module includes a convolutional neural network configured to learn from the determination of the feature vectors and increase the accuracy of the image retrieval module in classifying the image files.


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