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. 10, 2024

Filed:

Dec. 04, 2023
Applicant:

Ohio State Innovation Foundation, Columbus, OH (US);

Inventors:

Thomas Darrah, Westerville, OH (US);

Ian Howat, Worthington, OH (US);

Joachim Moortgat, Columbus, OH (US);

Colin Whyte, Grove City, OH (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2022.01); G01V 8/00 (2006.01); G06T 7/10 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01);
U.S. Cl.
CPC ...
G06V 20/10 (2022.01); G01V 8/00 (2013.01); G06T 7/10 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20182 (2013.01); G06T 2207/30181 (2013.01);
Abstract

Systems, apparatuses, methods, and computer program products are disclosed for training an image analysis engine to identify surface features of the Earth consistent with subsurface hydrogen accumulation. An example method includes receiving, by communications circuitry, a training dataset of labeled images illustrating surface features consistent with subsurface hydrogen accumulation, the surface features consistent with subsurface hydrogen accumulation comprising ovoid surficial depressions. The example method further includes training, by a model generator and using the training dataset, an image classification model of the image analysis engine to identify whether new images contain surface features consistent with subsurface hydrogen accumulation. The example method further includes hosting the image classification model by the image analysis engine.


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