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:
May. 19, 2020

Filed:

Mar. 28, 2018
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Tyler Edward Kurtz, Summerville, SC (US);

Riley Harrison HansonSmith, Bothell, WA (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 1/00 (2006.01); G06T 7/00 (2017.01); B23P 19/10 (2006.01); G06K 9/46 (2006.01); G06K 9/40 (2006.01); B23P 19/04 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/6262 (2013.01); B23P 19/04 (2013.01); B23P 19/10 (2013.01); B23P 19/105 (2013.01); G06K 9/00503 (2013.01); G06K 9/00664 (2013.01); G06K 9/40 (2013.01); G06K 9/4614 (2013.01); G06K 9/4652 (2013.01); G06K 9/4671 (2013.01); G06K 9/6255 (2013.01); G06T 1/0014 (2013.01); G06T 7/0006 (2013.01); G05B 2219/40565 (2013.01); G06K 2209/19 (2013.01); G06N 20/00 (2019.01); G06T 2207/10012 (2013.01); G06T 2207/30164 (2013.01);
Abstract

Machine vision methods and systems determine if an object within a work field has one or more predetermined features. Methods comprise capturing image data of the work field, applying a filter to the image data, in which the filter comprises an aspect corresponding to a specific feature, and based at least in part on the applying, determining if the object has the specific feature. Systems comprise a camera system configured to capture image data of the work field, and a controller communicatively coupled to the camera system and comprising non-transitory computer readable media having computer-readable instructions that, when executed, cause the controller to apply a filter to the image data, and based at least in part on applying the filter, determine if the object has the specific feature. Robotic installation methods and systems that utilize machine vision methods and systems also are disclosed.


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