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:
Jun. 30, 2026

Filed:

Jul. 11, 2024
Applicant:

Norfolk Southern Corporation, Atlanta, GA (US);

Inventors:

Anand Ramakrishnan, Goleta, CA (US);

Evan Thomas Gebhardt, Atlanta, GA (US);

Ilya Alekseyevich Lavrik, Atlanta, GA (US);

Mabby Nicholas Amouie, Atlanta, GA (US);

Assignee:

Norfolk Southern Corporation, Atlanta, GA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); B61L 27/57 (2022.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); B61L 27/57 (2022.01); G06F 18/214 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30248 (2013.01);
Abstract

Systems and methods for detecting defects or conditions of railcar systems are disclosed. Raw images depicting railcars can be received and curated into one or more training datasets each comprising at least some of the raw images. One or more machine-learning algorithms can be trained with the training dataset(s). A field image set comprising field images that depict at least a portion of an operating railcar and were obtained contemporaneously from multiple different viewpoints of the operating railcar can be received. A three-dimensional depiction of at least a portion of a railcar can be generated based on the field images. The machine-learning algorithm(s) can be applied to the field images and/or the three-dimensional depiction, and a condition of the operating railcar can be determined based at least in part on the field images and/or three-dimensional depiction.


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Ramakrishnan, Anand. (2026). Machine-learning framework for detecting defects or conditions of railcar systems (U.S. Patent No. 12670568). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12670568

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