US 12,229,732 B2
Automated vehicle repair estimation by voting ensembling of multiple artificial intelligence functions
Abhijeet Gulati, San Diego, CA (US)
Assigned to Mitchell International, Inc., San Diego, CA (US)
Filed by Mitchell International, Inc., San Diego, CA (US)
Filed on Oct. 12, 2023, as Appl. No. 18/379,484.
Application 18/379,484 is a continuation of application No. 17/039,262, filed on Sep. 30, 2020, granted, now 11,823,137.
Claims priority of provisional application 62/908,348, filed on Sep. 30, 2019.
Claims priority of provisional application 62/908,354, filed on Sep. 30, 2019.
Claims priority of provisional application 62/908,361, filed on Sep. 30, 2019.
Prior Publication US 2024/0095685 A1, Mar. 21, 2024
Int. Cl. G06Q 10/20 (2023.01); G06F 18/214 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 10/10 (2023.01); G06Q 40/08 (2012.01); G06T 7/00 (2017.01)
CPC G06Q 10/20 (2013.01) [G06F 18/2148 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 10/10 (2013.01); G06Q 40/08 (2013.01); G06T 7/0002 (2013.01); G06T 7/0004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30248 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a hardware processor; and
a non-transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform a method comprising:
receiving a vehicle damage object for a damaged vehicle;
providing the vehicle damage object to multiple first artificial intelligence functions;
receiving multiple vehicle repair recommendation sets for the damaged vehicle from the multiple first artificial intelligence functions, wherein each of the multiple vehicle repair recommendation sets identifies one of multiple vehicle repair operations for a component of the damaged vehicle, and wherein at least two of the multiple vehicle repair recommendation sets identify different recommended vehicle repair operations for the component of the damaged vehicle;
selecting, by a trained second artificial intelligence function, one of the multiple recommended vehicle repair operations for the component of the damaged vehicle based on multiple weights, wherein the multiple weights are associated with the multiple recommended vehicle repair operations for the component of the damaged vehicle for one of the multiple first artificial intelligence functions;
generating a composite vehicle repair recommendation set that identifies the selected recommended vehicle repair operation; and
retraining the trained second artificial intelligence function by adjusting the multiple weights.