US 12,469,083 B1
Systems and methods for predicted total loss determinations based on image analysis
Michael Bradley Henry, Northbrook, IL (US); Patrick Figliozzi, Northbrook, IL (US); Anna Varentsova, Northbrook, IL (US); Chris Jonas, Northbrook, IL (US); John LaVanne, Northbrook, IL (US); Ann Rebecca Wei, Northbrook, IL (US); and Cory Campagna, Northbrook, IL (US)
Assigned to Allstate Insurance Company, Northbrook, IL (US)
Filed by Allstate Insurance Company, Northbrook, IL (US)
Filed on Feb. 18, 2021, as Appl. No. 17/178,847.
Claims priority of provisional application 62/978,432, filed on Feb. 19, 2020.
Int. Cl. G06Q 40/08 (2012.01); G06F 18/22 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06Q 10/10 (2023.01); G06Q 30/02 (2023.01); G06T 7/00 (2017.01); G06Q 10/20 (2023.01)
CPC G06Q 40/08 (2013.01) [G06F 18/22 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06Q 10/10 (2013.01); G06Q 30/0278 (2013.01); G06T 7/0002 (2013.01); G06Q 10/20 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/08 (2022.01)] 18 Claims
OG exemplary drawing
 
1. An intelligent prediction system comprising:
one or more processors;
one or more memory components communicatively coupled to the one or more processors; and
machine readable instructions stored in the one or more memory components that cause the intelligent prediction system to perform at least the following when executed by the one or more processors:
receive from a user one or more uploaded and labeled images of at least a property and a claim identifier associated with the property;
retrieve information based on the claim identifier, wherein the information comprises a total loss score of the property and a reported property type of the property;
filter, via an artificial intelligence model of a data analytics module, the uploaded and labeled images to determine one or more usable filtered images and one or more unusable images;
discard the one or more unusable images;
analyze the one or more usable filtered images of the one or more uploaded and labeled images to generate one or more processed images based on the one or more usable filtered images via the artificial intelligence model of the data analytics module such that the one or more processed images exclude the one or more unusable images that are discarded;
determine an identified property type of the property from the one or more processed images;
generate a property match indication between the identified property type determined from the one or more processed images generated based on the one or more usable filtered images and the reported property type associated with the claim identifier when there is a match therebetween; and
generate an automated predicted total loss determination based on the total loss score, the one or more processed images from the data analytics module generated based on the one or more usable filtered images, and the property match indication, without allowing generation of the automated predicted total loss determination when the property match indication is not generated such as when there is not a match between the identified property type determined from the one or more processed images and the reported property type associated with the claim identifier.