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. 02, 2025

Filed:

Dec. 01, 2021
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Nick Shadbeh Evans, Lynnwood, WA (US);

Jasper Patrick Corleis, Renton, WA (US);

Amir Afrasiabi, University Place, WA (US);

Assignee:

The Boeing Company, Arlington, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06N 3/0475 (2023.01); G06N 3/094 (2023.01); G06T 5/60 (2024.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/17 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/17 (2022.01); G06V 20/70 (2022.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06N 3/045 (2023.01); G06N 3/0475 (2023.01); G06N 3/094 (2023.01); G06T 5/60 (2024.01); G06T 2207/20084 (2013.01);
Abstract

An apparatus for identifying objects receives a dataset comprising an image having first real image features; trains a neural network to recognize the first real image features in the received dataset; and performs a synthetic image augmentation to generate synthetic image features corresponding to the first real image features in the received dataset using the neural network. The synthetic image augmentation allows for improved training of a computer vision function for recognizing second real image features, corresponding to the synthetic image features, in a real-world environment.


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