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:
Mar. 04, 2025

Filed:

Aug. 26, 2021
Applicant:

Oshkosh Aerotech, Llc, Oshkosh, WI (US);

Inventors:

Grant Thomas, Spring, TX (US);

Stephen C. Tatton, Spring, TX (US);

Assignee:

Oshkosh AeroTech, LLC, Oshkosh, WI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); B64F 5/60 (2017.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); G08B 3/10 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0008 (2013.01); B64F 5/60 (2017.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); G08B 3/10 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

In some embodiments, a system is provided that includes an edge computing device and at least one camera configured to obtain image data depicting at least a portion of an operations area. The edge computing device includes a non-transitory computer-readable medium that has a model data store and computer-executable instructions stored thereon. The instructions cause the edge computing device to perform actions including receiving at least one image from the at least one camera; processing the at least one image using at least one machine learning model stored in the model data store to determine at least one environmental state within the operations area; and controlling a device based on the determined at least one environmental state. The machine learning model is trained by a model management computing system that obtains training data via low-bandwidth connections to edge computing devices.


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