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. 06, 2023

Filed:

Jul. 15, 2020
Applicant:

Mitchell International, Inc., San Diego, CA (US);

Inventors:

Joseph Hyland, San Diego, CA (US);

Abhijeet Gulati, San Diego, CA (US);

Dmitri Soloviev, San Diego, CA (US);

Chenlei Zhang, San Diego, CA (US);

Prarit Lamba, San Diego, CA (US);

Assignee:

Mitchell International, Inc., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/21 (2023.01); G06Q 10/20 (2023.01); G06Q 10/10 (2023.01); G06Q 40/08 (2012.01); G06F 18/40 (2023.01); G06Q 10/0875 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2178 (2023.01); G06F 18/41 (2023.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06Q 10/20 (2013.01); G06Q 40/08 (2013.01); G06Q 10/0875 (2013.01);
Abstract

Systems and methods for managing predictions for vehicle repair estimates are provided. A method includes providing one or more images of a damaged vehicle as input to a machine learning model, wherein the machine learning model has been trained with images of other damaged vehicles and corresponding vehicle operations, wherein each of the vehicle operations represents the repair or replacement of a vehicle component; receiving output of the machine learning model responsive to the input, wherein the output comprises a plurality of values each corresponding to one of a plurality of the vehicle operations; determining a confidence metric based on the values; making a comparison between the confidence metric and a confidence threshold value; and selecting the one of the plurality of the vehicle operations corresponding to the highest value as a predicted operation based on the comparison.


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