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US Patent 11669590 Managing predictions for vehicle repair estimates

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Mitchell International
Mitchell International
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Current Assignee
Mitchell International
Mitchell International
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116695900
Date of Patent
June 6, 2023
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Patent Application Number
169299840
Date Filed
July 15, 2020
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Patent Citations
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US Patent 8239220 Method and apparatus for obtaining photogrammetric data to estimate impact severity
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US Patent 8260639 Systems and methods for automobile accident claims initiation
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US Patent 9218626 Automatic prediction and recommendation of parts, materials, and services for vehicle insurance claim estimates and supplements
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US Patent 9500545 Methods and apparatus for using black box data to analyze vehicular accidents
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US Patent 9721400 Detecting motor vehicle damage
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US Patent 10339728 Detecting motor vehicle damage
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US Patent 10410439 Determining and assessing post-accident vehicle damage
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US Patent 10510142 Estimation using image analysis
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Patent Primary Examiner
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Christopher M Brandt
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CPC Code
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G06N 20/00
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G06Q 10/10
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G06Q 10/20
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G06Q 40/08
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G06K 9/6263
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G06V 10/7784
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G06V 10/7788
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G06V 20/00
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...

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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