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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.

Patent No.:

US 11676365 B1

PDFFull Text
Date of Patent:
Jun. 13, 2023

Filed:

Dec. 16, 2019

Explainable artificial intelligence (ai) based image analytic, automatic damage detection and estimation system

Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Indrajit Kar, Bangalore, IN;

Mohammed C. Salman, Bangalore, IN;

Ankit Vashishta, Faridabad, IN;

Vishal D. Pandey, Bangalore, IN;

Assignee:

ACCENTURE GLOBAL SOLUTIONS LIMITED, Dublin, IE;

Attorney:

Mannava & Kang, P.C.

Primary Examiner:

Alan Chen

Int. Cl.
CPC ...
G06V 10/44 (2022.01); G06N 20/20 (2019.01); G06N 3/08 (2023.01); G06N 5/045 (2023.01); G06F 18/243 (2023.01); G06V 10/46 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/454 (2022.01); G06F 18/24317 (2023.01); G06N 3/08 (2013.01); G06N 5/045 (2013.01); G06N 20/20 (2019.01); G06V 10/464 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
Abstract

An Artificial Intelligence (AI) based automatic damage detection and estimation system receives images of a damaged object. The images are converted into monochrome versions if needed and analyzed by an ensemble machine learning (ML) cause prediction model that includes a plurality of sub-models that are each trained to identify a cause of damage to a corresponding portion for the damaged object from a plurality of causes. In addition, an explanation for the selection of the cause from the plurality of causes is also provided. The explanation includes image portions and pixels of images that enabled the cause prediction model to select the cause of damage. An ML parts identification model is also employed to identify and labels parts of the damaged object which are repairable and parts that are damaged and need replacement. The cost estimation for the repair and restoration of the damaged object can also be generated.

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Kar, Indrajit. (2023). Explainable artificial intelligence (ai) based image analytic, automatic damage detection and estimation system (U.S. Patent No. 11676365). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11676365

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