Anurag Sharma

US Patent:

20220180411, Jun 9, 2022

Filed:

Feb 21, 2022

Appl. No.:

17/676701

Inventors:

- Northbrook IL, US
Anurag Sharma - Buffalo Grove IL, US
Daniel Brickman - Chicago IL, US
David M. Zahn - Lake Villa IL, US
Andrew Daniels - Columbus OH, US
Pinal Patel - Libertyville IL, US
David L. Gilkison - Libertyville IL, US
Steven Genc - Hainesville IL, US

Assignee:

Allstate Insurance Company - Northbrook IL

International Classification:

G06Q 30/02
G06Q 10/00
G06N 3/02
G06T 7/13
G06N 20/00

Abstract:

Systems and apparatuses for generating surface dimension outputs are provided. The system may collect an image from a mobile device. The system may analyze the image to determine whether they comprise one or more standardized reference objects. Based on analysis of the image and the one or more standardized reference objects, the system may determine a surface dimension output. The system may determine one or more settlement outputs and one or more repair outputs for the driver based on the surface dimension output.

US Patent:

20230058570, Feb 23, 2023

Filed:

Jan 24, 2022

Appl. No.:

17/582892

Inventors:

- Westchester IL, US
Subbu Viswanathan - Westchester IL, US
Ryan Fagan - Westchester IL, US
Ashish Kashyap - Naperville IL, US
Anurag Sharma - Buffalo Grove IL, US
Mark Oost - Delfgauw, NL
Michael T. Cornelison - LaGrange Highlands IL, US

International Classification:

G06V 30/413
G06V 30/32
G06T 5/00
G06Q 40/08

Abstract:

A computer-implemented method of generating electronic documents is described. The method comprises receiving a plurality of scanned documents for a plurality of vehicles; providing the plurality of scanned documents to a neural network model that outputs respective class identifiers of the plurality of scanned documents; for each scanned document of the plurality of scanned documents, extracting data from the scanned document according to a corresponding class identifier, and associating the scanned document and the extracted data with an identified vehicle of the plurality of vehicles, wherein the identified vehicle is identified by the extracted data; and generating an electronic document for the identified vehicle using the extracted data.