State Farm Mutual Automobile Insurance Company

Jeremy Cunningham

Lucas Allen

Rajiv C Shah

Ronald R Duehr

Jeffrey David Hevrin

Taylor Griffin Smith

Sripriya Sundararaman

Jing Wan

Shannon Morrison

Brad Sliz

Bradley A Sliz

A method of determining a claim value corresponding to a damaged vehicle of a customer includes receiving exception data and image(s) corresponding to the damaged vehicle, generating a set of image parameters by analyzing the one or more image corresponding to the damaged vehicle using a first trained artificial neural network, generating the claim value corresponding to the damaged vehicle by analyzing the set of image parameters and the exception data using a second trained artificial neural network, and transmitting the claim value corresponding to the damaged vehicle. The method may include respective training of the first artificial neural network and second artificial neural network using labeled images and labeled telematics data.

Vehicle damage claims self-service

A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.

Detection of anomalous computer behavior

A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.

Systems and methods for analyzing image data to automatically ensure image capture consistency are described. According to certain aspects, a server may access aerial and other image data and identify a set of parameters associated with the capture of the image data. The server may access a corresponding set of acceptable image capture parameters, and may compare the set of parameters to the set of acceptable parameters to determine whether image data is consistent with the set of acceptable parameters. In some embodiments, if the image data is not consistent, the server may generate a notification or instruction to cause an image capture component to recapture additional image data.

Growing community of inventors

Bloomington, IL, United States of America

Jeremy Cunningham