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. 24, 2026

Filed:

Sep. 04, 2024
Applicant:

Uipco, Llc, San Antonio, TX (US);

Inventors:

Yangqiu Hu, San Antonio, TX (US);

David Lamar Rogers, San Antonio, TX (US);

Ting Lu, San Antonio, TX (US);

Jess W. Gingrich, San Antonio, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2022.01); G06Q 10/10 (2023.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/17 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06V 20/176 (2022.01); G06Q 10/10 (2013.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/17 (2022.01); G16H 30/40 (2018.01);
Abstract

A system and method for processing occluded aerial images of structures to assess structural damage is disclosed. The system employs a generative model that is trained on data created by adding occlusive features to clear aerial images. Both the clear images and their simulated occluded counterparts (image pairs) are inputted into the generative model as training data, and the model learns to recognize and discriminate patterns between the pairs. This process is fully automated and does not require manual labeling. Following training, the model is capable of receiving real (non-simulated) occluded images and generating a clarified image that can reveal structural details previously not apparent to automatically determine a damage classification for the property.


Find Patent Forward Citations

Loading…