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:
Sep. 23, 2025

Filed:

Jun. 28, 2024
Applicant:

Bnsf Railway Company, Fort Worth, TX (US);

Inventors:

Nicholas Dryer, North Barrington, IL (US);

Zachery Bettis, Fort Worth, TX (US);

Bryan Gabric, Weatherford, TX (US);

Michael I. Ibanez, McAllen, TX (US);

Yasha Hajizeinalibiouki, Plano, TX (US);

Assignee:

BNSF Railway Company, Fort Worth, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/50 (2022.01); G01S 19/45 (2010.01); G06Q 10/087 (2023.01); G06T 7/70 (2017.01); G06V 10/70 (2022.01); G06V 20/17 (2022.01); G06V 20/40 (2022.01); H04N 5/77 (2006.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G06V 20/50 (2022.01); G01S 19/45 (2013.01); G06Q 10/087 (2013.01); G06T 7/70 (2017.01); G06V 10/70 (2022.01); G06V 20/17 (2022.01); G06V 20/41 (2022.01); H04N 5/77 (2013.01); H04N 7/183 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30244 (2013.01); G06V 2201/10 (2022.01);
Abstract

Methods and systems for providing mechanisms for automated inventory control are provided. In embodiments, an operational workflow for providing automated inventory control includes automated data collection and automated image data analysis. The automated data collection includes capturing image data for a storage facility by a capturing device (e.g., an unmanned aerial system (UAS)). The automated image data analysis includes functionality to detect objects (e.g., containers, trailers, empty slots, and/or other objects) appearing in the image data (e.g., using a machine learning (ML) model), to identify the objects in the image data (e.g., using the ML model), to inspect the objects (e.g., including determining a condition and/or location of the objects) based on the collected image data and metadata associated with the image capturing device and correlated to the image data (e.g., using an advance mathematical rule-based analysis), and/or to generate results that may be used by an inventory management system.


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