IP Library Granted Patent US 12,469,085
Granted Patent B2
US 12,469,085 · App. 18/316,732 · Granted Nov 11, 2025

Optimized inventory analysis for insurance purposes

Inventors: William Loo (Arlington Heights, IL); Stephen Hughes (Belfast, GB); James Gillespie (Belfast, GB); Jennifer A. Brandmaier (Chicago, IL); Daniel Koza (Hinsdale, IL)
Assignee: Allstate Insurance Company
G06Q40/08
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Quick Facts
Patent No.
US 12,469,085
App. No.
18/316,732
Granted
Nov 11, 2025
Kind
B2
Abstract

Systems and methods may provide for generating, maintaining, and using an inventory for insurance purposes. An optimized inventory analysis server may use a demographic classification for a given user along with data related to items owned by other users to determine one or more items for recommendation to the given user. Details associated with existing insurance coverage levels may also be used to recommend new insurance products to the user. In addition, the optimized inventory analysis server may determine a depreciated value of each item within an inventory. These values may be used to assess loss and settle an insurance claim for damage to one or more of the items in the inventory. Finally, the optimized inventory analysis server may recommend incentives on products/services sold by third party entities and may further recommend incentives on insurance products for insuring items purchased by a given user.

Claims (82)

1 . A non-transitory computer-readable storage medium having computer-executable program instructions stored thereon that, when executed by a processor of an inventory analysis server, cause the processor to:

receive, via a network connection and from a first device with a microphone, an audio annotation of a room of a building;

analyze, by executing audio processing of the received audio annotation with the processor of the inventory analysis server, the audio annotation to determine a set of items in the room, the set of items comprising a first item;

determine metadata, based on the executed audio processing of the received audio annotation with the processor of the inventory analysis server, associated with the first item;

store, in a first database of the inventory analysis server and in association with an inventory that indicates a plurality of items associated with the building:

data indicating the determined set of items,

data indicating in which room of the building the set of items are located,

metadata associated with the set of items, and

a user profile associated with the set of items;

transmit, from the inventory analysis server to the first device and in response to receiving the audio annotation and determining the set of items comprising the first item, a first request for an original purchase price data of the first item and purchase date data of the first item;

receive from the first device, in response to the first request to the first device, first information indicating a date the first item was purchased;

receive, via the network connection and from a second device, text data regarding a second item to be added to the inventory, the second device being different from the first device;

transmit a second request from the inventory analysis server to the second device, in response to receiving the text data, for an original purchase price of the second item and a date the second item was purchased;

receive from the second device, in response to the second request, second information indicating the original purchase price of the second item and the date the second item was purchased;

in response to the second request, receive second information indicating the original purchase price of the second item and the date the second item was purchased;

determine that the original purchase price data of the first item is not available;

automatically determine, in response to the determination that the original purchase price of the first item is not available, a third item based at least on a portion of the first information for the first item;

automatically determine, in response to determining the third item, a current price of the third item, wherein the current price of the third item is determined by retrieving the current price of the third item from a second database that is external to the inventory analysis server over a network;

in response to receiving the first information indicating the date the first item was purchased and in response to retrieving the current price of the third item, calculate a first depreciated value of the first item based on the current price of the third item and the date the first item was purchased;

store, in the first database stored in the inventory analysis server and in association with the first item of the inventory, the calculated first depreciated value of the first item;

in response to receiving the second information indicating the original purchase price of the second item and the date the second item was purchased, calculate a second depreciated value of the second item based on the original purchase price of the second item and the date the second item was purchased; and

store, in the first database stored in the inventory analysis server and in association with the second item of the inventory, the calculated second depreciated value of the second item.

2 . The non-transitory computer-readable storage medium of claim 1 , wherein the computer-executable program instructions further cause the processor to:

receive depreciation information regarding prior damage of the first item, wherein the prior damage comprises damage that occurred prior to the first item being added to the inventory, and calculate the first depreciated value of the first item further based on the depreciation information.

3 . The non-transitory computer-readable storage medium of claim 1 , wherein the computer-executable program instructions further cause the processor to:

receive an audio file regarding a fourth item to be added to the inventory stored in the first database;

analyze, using a speech processing technique, the audio file to generate information regarding the fourth item; and

store the information regarding the fourth item in the first database in association with the inventory.

4 . The non-transitory computer-readable storage medium of claim 1 , wherein the portion of the first information for the first item comprises a model number of the first item, and wherein calculating the first depreciated value of the first item based on the current price of the third item comprises adjusting the current price of the third item based on a difference between the third item and the first item and calculating the first depreciated value of the first item based on the adjusted current price of the third item.

5 . A system, comprising:

at least one user device, comprising at least one first processor executing a home inventory application and first memory, configured to transmit an audio annotation of a room of a building; and

an inventory analysis server, wherein the inventory analysis server comprises second memory and a second processor and is configured to:

receive, via a network connection and from a first device with a microphone, the audio annotation of the room of the building;

analyze, by executing audio processing of the received audio annotation with the second processor of the inventory analysis server, the audio annotation to determine a set of items in the room, the set of items comprising a first item;

determine metadata, based on the executed audio processing of the received audio annotation with the second processor of the inventory analysis server, associated with the first item;

store, in a first database of the inventory analysis server and in association with an inventory that indicates a plurality of items associated with the building:

data indicating the determined set of items,

data indicating in which room of the building the set of items are located,

metadata associated with the set of items, and

a user profile associated with the set of items;

transmit, from the inventory analysis server to the first device and in response to receiving the audio annotation and determining the set of items comprising the first item, a first request for an original purchase price data of the first item and purchase date data of the first item;

receive from the first device, in response to the first request to the first device, first information indicating a date the first item was purchased;

receive via the network connection and from a second device, text data regarding a second item to be added to the inventory, the second device being different from the first device;

transmit a second request from the inventory analysis server to the second device, in response to receiving the text data, for an original purchase price of the second item and a date the second item was purchased;

receive from the second device, in response to the second request, second information indicating the original purchase price of the second item and the date the second item was purchased;

in response to the second request, receive second information indicating the original purchase price of the second item and the date the second item was purchased;

determine that the original purchase price data of the first item is not available;

automatically determine, in response to the determination that the original purchase price of the first item is not available, a third item based at least on a portion of the first information for the first item;

automatically determine, in response to determining the third item, a current price of the third item, wherein the current price of the third item is determined by retrieving the current price of the third item from a second database that is external to the inventory analysis server over a network;

in response to receiving the first information indicating the date the first item was purchased and in response to retrieving the current price of the third item, calculate a first depreciated value of the first item based on the current price of the third item and the date the first item was purchased;

store, in the first database stored in the inventory analysis server and in association with the first item of the inventory, the calculated first depreciated value of the first item;

in response to receiving the second information indicating the original purchase price of the second item and the date the second item was purchased, calculate a second depreciated value of the second item based on the original purchase price of the second item and the date the second item was purchased; and

store, in the first database stored in the inventory analysis server and in association with the second item of the inventory, the calculated second depreciated value of the second item.

6 . The system of claim 5 , wherein the inventory analysis server is further configured to interface with one or more databases of one or more entities different from a manager of the inventory analysis server, and wherein the first request for the original purchase price data of the first item and the purchase date data of the first item is transmitted to a particular database associated with a particular entity that sells the first item, wherein the particular entity is one of the one or more entities different from the manager of the inventory analysis server.

7 . The system of claim 5 , wherein the inventory analysis server is further configured to:

receive, from a remote computer of a business, information that a fourth item was purchased from the business by a user associated with the building; and

store, in the first database, identification data to associate the fourth item with the inventory, the identification data identifying the fourth item.

8 . A method, comprising:

receiving, by a computing device and via a network connection and from a first device with a microphone, an audio annotation of a room of a building;

analyzing, by executing audio processing of the received audio annotation with a processor of an inventory analysis server, the audio annotation to determine a set of items in the room, the set of items comprising a first item;

determining metadata, based on the executed audio processing of the received audio annotation associated with the first item;

storing, in a first database of the inventory analysis server and in association with an inventory that indicates a plurality of items associated with the building:

data indicating the determined set of items in the room,

data indicating in which room of the building the set of items are located,

metadata associated with the set of items, and

a user profile associated with the set of items;

transmitting, from the inventory analysis server to the first device and in response to receiving the audio annotation and determining the set of items comprising the first item, a first request for an original purchase price of the first item and purchase date data of the first item;

receiving from the first device, in response to the first request to the first device, first information indicating a date the first item was purchased;

receiving, via the network connection and from a second device, text data regarding a second item to be added to the inventory, the second device being different from the first device;

transmitting a second request from the inventory analysis server to the second device, in response to receiving the text data, for an original purchase price of the second item and a date the second item was purchased;

receiving from the second device, in response to the second request, second information indicating the original purchase price of the second item and the date the second item was purchased;

in response to the second request, receiving second information indicating the original purchase price of the second item and the date the second item was purchased;

determining that the original purchase price of the first item is not available;

automatically determining, in response to the determination that the original purchase price of the first item is not available, a third item based at least on a portion of the first information for the first item;

automatically determining, in response to determining the third item, a current price of the third item, wherein the current price of the third item is determined by retrieving the current price of the third item from a second database that is external to the inventory analysis server over a network;

in response to receiving the first information indicating the date the first item was purchased and in response to retrieving the current price of the third item, calculating a first depreciated value of the first item based on the current price of the third item and the date the first item was purchased;

storing, in the first database stored in the inventory analysis server and in association with the first item of the inventory, the calculated first depreciated value of the first item;

in response to receiving the second information indicating the original purchase price of the second item and the date the second item was purchased, calculate a second depreciated value of the second item based on the original purchase price of the second item and the date the second item was purchased; and

storing, in the first database stored in the inventory analysis server and in association with the second item of the inventory, the calculated second depreciated value of the second item.

9 . The method of claim 8 , the method further comprising:

receiving, from a remote computer of a business, information that a fourth item was purchased from the business by a user associated with the building; and

storing, in the first database, identification data to associate the fourth item with the inventory, the identification data identifying the fourth item.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 22, 2023
From: HUGHES, STEPHEN; GILLESPIE, JAMES; LOO, WILLIAM; KOZA, DANIEL; BRANDMAIER, JENNIFER A.
To: ALLSTATE INSURANCE COMPANY
Reel/Frame 064664/0449 →
Continuity (4)
Continuation 16251420 · Jan 18, 2019
Continuation 14032709 · Sep 20, 2013
Division 13608765 · Sep 10, 2012
Related Publication 20240126399A1 · Apr 18, 2024
References Cited (191)
US 5504674A · Chen et al. · 1996 [cited by applicant]
US 5655085A · Ryan et al. · 1997 [cited by applicant]
US 5697001A · Ring et al. · 1997 [cited by applicant]
US 6611807B1 · Bernheim et al. · 2003 [cited by applicant]
US 6678685B2 · McGill et al. · 2004 [cited by applicant]
US 6829584B2 · Loveland · 2004 [cited by applicant]
US 6851611B1 · Shaw-Sinclair · 2005 [cited by applicant]
US 6904410B1 · Weiss et al. · 2005 [cited by applicant]
US 7184975B2 · Ikeda · 2007 [cited by applicant]
US 7343310B1 · Stender · 2008 [cited by applicant]
US 7424473B2 · Orton, III et al. · 2008 [cited by applicant]
US 7551849B1 · Abad · 2009 [cited by applicant]
US 7568200B2 · Weiss · 2009 [cited by applicant]
US 7765118B1 · Bohanek · 2010 [cited by examiner]
US 7801750B1 · Wallach et al. · 2010 [cited by applicant]
US 7809587B2 · Dorai et al. · 2010 [cited by applicant]
US 7899823B1 · Trandal · 2011 [cited by examiner]
US 7941330B1 · Buentello et al. · 2011 [cited by applicant]
US 7953615B2 · Aquila et al. · 2011 [cited by applicant]
US 8041636B1 · Hunter · 2011 [cited by examiner]
US 8095391B2 · Obora et al. · 2012 [cited by applicant]
US 8140421B1 · Humphries et al. · 2012 [cited by applicant]
US 8185463B1 · Ball · 2012 [cited by applicant]
US 8219558B1 · Trandal et al. · 2012 [cited by applicant]
US 8266017B1 · Dearlove et al. · 2012 [cited by applicant]
US 8655683B2 · Grundel et al. · 2014 [cited by applicant]
US 8712893B1 · Brandmaier et al. · 2014 [cited by applicant]
US 8756085B1 · Plummer et al. · 2014 [cited by applicant]
US 8977033B1 · Maurer et al. · 2015 [cited by applicant]
US 9002719B2 · Tofte · 2015 [cited by applicant]
US 9082015B2 · Christopulos et al. · 2015 [cited by applicant]
US 9129276B1 · Fasoli et al. · 2015 [cited by applicant]
US 9317753B2 · Saptharishi et al. · 2016 [cited by applicant]
US 9519734B2 · Randolph · 2016 [cited by applicant]
US 9605704B1 · Humphries et al. · 2017 [cited by applicant]
US 9633146B2 · Plummer et al. · 2017 [cited by applicant]
US 9672567B2 · Thomas et al. · 2017 [cited by applicant]
US 9846915B2 · Howe et al. · 2017 [cited by applicant]
US 10223750B1 · Loo · 2019 [cited by examiner]
US 10832332B1 · Spader et al. · 2020 [cited by applicant]
US 11798088B1 · Loo · 2023 [cited by examiner]
US 20020002475A1 · Freedman et al. · 2002 [cited by applicant]
US 20020035522A1 · Pilcher · 2002 [cited by applicant]
US 20020116163A1 · Loveland · 2002 [cited by examiner]
US 20020143564A1 · Webb et al. · 2002 [cited by applicant]
US 20020184107A1 · Tsuda et al. · 2002 [cited by applicant]
US 20030061104A1 · Thomson et al. · 2003 [cited by applicant]
US 20040153346A1 · Grundel et al. · 2004 [cited by applicant]
US 20040204966A1 · Duffey et al. · 2004 [cited by applicant]
US 20050027571A1 · Gamarnik et al. · 2005 [cited by applicant]
US 20050060236A1 · Iulo · 2005 [cited by applicant]
US 20050197907A1 · Weiss · 2005 [cited by applicant]
US 20050267900A1 · Ahmed et al. · 2005 [cited by applicant]
US 20060161462A1 · Sharma · 2006 [cited by applicant]
US 20060178902A1 · Vicars et al. · 2006 [cited by applicant]
US 20060253351A1 · Keaney · 2006 [cited by examiner]
US 20060259380A1 · Milstein et al. · 2006 [cited by applicant]
US 20060282304A1 · Bedard · 2006 [cited by examiner]
US 20060282342A1 · Chapman · 2006 [cited by applicant]
US 20060293928A1 · Schumacher et al. · 2006 [cited by applicant]
US 20070011033A1 · Atkinson et al. · 2007 [cited by applicant]
US 20070143123A1 · Goldberg et al. · 2007 [cited by applicant]
US 20080065427A1 · Helitzer · 2008 [cited by examiner]
US 20090024420A1 · Winkler · 2009 [cited by applicant]
US 20090138560A1 · Stahl · 2009 [cited by applicant]
US 20090164304A1 · Otto et al. · 2009 [cited by applicant]
US 20090171813A1 · Byrne et al. · 2009 [cited by applicant]
US 20090177499A1 · Westerberg et al. · 2009 [cited by applicant]
US 20090187468A1 · Krech · 2009 [cited by applicant]
US 20090265193A1 · Collins et al. · 2009 [cited by applicant]
US 20090307017A1 · Mahdessian · 2009 [cited by applicant]
US 20090319362A1 · Dashnaw · 2009 [cited by applicant]
US 20090326989A1 · Schmitt et al. · 2009 [cited by applicant]
US 20100076794A1 · Seippel · 2010 [cited by applicant]
US 20100103241A1 · Linaker · 2010 [cited by examiner]
US 20100131308A1 · Collopy et al. · 2010 [cited by applicant]
US 20100241463A1 · Corben et al. · 2010 [cited by applicant]
US 20100312584A1 · Bradshaw et al. · 2010 [cited by applicant]
US 20110057789A1 · Cai et al. · 2011 [cited by applicant]
US 20110161117A1 · Busque · 2011 [cited by examiner]
US 20110218875A1 · Scruton et al. · 2011 [cited by applicant]
US 20110238451A1 · Bazzani et al. · 2011 [cited by applicant]
US 20110288891A1 · Zaid et al. · 2011 [cited by applicant]
US 20110314038A1 · Pacella · 2011 [cited by applicant]
US 20110320222A1 · Fini et al. · 2011 [cited by applicant]
US 20110320322A1 · Roslak et al. · 2011 [cited by applicant]
US 20120016695A1 · Bernard et al. · 2012 [cited by applicant]
US 20120036033A1 · Seergy et al. · 2012 [cited by applicant]
US 20120042253A1 · Priyadarshan et al. · 2012 [cited by applicant]
US 20120047082A1 · Bodrozic · 2012 [cited by applicant]
US 20120095783A1 · Buentello et al. · 2012 [cited by applicant]
US 20120310675A1 · Binder · 2012 [cited by applicant]
US 20120323609A1 · Fini · 2012 [cited by examiner]
US 20130013344A1 · Ernstberger et al. · 2013 [cited by applicant]
US 20130185100A1 · Allu · 2013 [cited by applicant]
US 20130290033A1 · Reeser et al. · 2013 [cited by applicant]
US 20130317860A1 · Schumann, Jr. · 2013 [cited by applicant]
US 20140067430A1 · Dardick et al. · 2014 [cited by applicant]
US 20140100889A1 · Tofte · 2014 [cited by applicant]
US 20140180725A1 · Ton-That et al. · 2014 [cited by applicant]
US 20140188522A1 · Fini · 2014 [cited by applicant]
US 20150025915A1 · Lekas · 2015 [cited by applicant]
US 20150228028A1 · Friedman · 2015 [cited by applicant]
US 20150332407A1 · Wilson, II et al. · 2015 [cited by applicant]
US 20160171622A1 · Perkins et al. · 2016 [cited by applicant]
US 20160335727A1 · Jimenez · 2016 [cited by applicant]
US 20170148101A1 · Franke et al. · 2017 [cited by applicant]
US 20170221110A1 · Sullivan et al. · 2017 [cited by applicant]
US 20170270650A1 · Howe et al. · 2017 [cited by applicant]
US 20170323319A1 · Rattner et al. · 2017 [cited by applicant]
US 20170330207A1 · Labrie et al. · 2017 [cited by applicant]
US 20190108396A1 · Dal Mutto et al. · 2019 [cited by applicant]
CA 2303724A1 · 2001 [cited by applicant]
WO 2006076566A1 · 2006 [cited by applicant]
WO 2006122343A1 · 2006 [cited by applicant]
WO 2013144772A1 · 2013 [cited by applicant]
WO 2017176304A1 · 2017 [cited by applicant]
WO 2018055340A1 · 2018 [cited by applicant]
“Create a Home Inventory for Insurance”, houselogic; Mar. 6, 2012; http://www.houselogic.com/homes-advice/home-inventories/home-inventory-for-insurance/. [cited by applicant]
“Creating A Home Inventory”, State Farm Insurance; Mar. 6, 2012; learningcenter.statefarm.com/residence/insurance-2/creating-a-home-inventory/. [cited by applicant]
“Estimate Your Home Value to Match Coverage Limits”; Safeco Insurance, A Liberty Mutual Company; Mar. 15, 2012; http://www.safeco.com/insurance-101/consumer-tips/your-home/insurance-to-value. [cited by applicant]
“GIO It's a trust thing”; Home and Contents Insurance; Home Contents Insurance: GIO; Mar. 6, 2012; https/www.gio.com/au/home-insurance/home-contents-insurance. [cited by applicant]
“Grayscale”; Wikipedia https://en.wikipedia.org/wiki/Grayscale#Converting_color_to_grayscale website visited May 4, 2018, pp. 1-6. [cited by applicant]
“Home Manage Benefits”, Home Inventory Software; Kaizen Software Solutions; Mar. 6, 2012; https://www.kzsoftware.com/products/home-inventory-software/. [cited by applicant]
“Household and Personal Property Inventory Book”, College of Agriculture, Consumer and Environmental Sciences, 1997; pp. 1-61. [cited by applicant]
“HOVER Apps for Insurance Adjusters” Hover https://hover.to/apps-insurance-adjusters/; pp. 1-5, website visited Sep. 14, 2018. [cited by applicant]
“How Does It Work?” Record It Home Business Services; 2011; https://www.RecordltHBS.com. [cited by applicant]
“Know Your Stuff Mobile Apps”; https://www.knowyourstuff.org/iii/viewOnlyNoLogin.html?page=front_iphone site; last visited Aug. 18, 2015. [cited by applicant]
“Know Your Stuff®—Home Inventory”; Mar. 6, 2012; https://www.knowyourstuff.org/iii/login.html. [cited by applicant]
“Mac App Store is the simplest way to find and download for your Mac”; Mar. 6, 2012; itunes.apple.com/us/app/home-inventory/id413564952?mt=12. [cited by applicant]
“Mobile Phone Insurance”; Mobile haggling Accessibility; 2008; (http://www.moneysavingexpert.com/accessibility). [cited by applicant]
“Protect Yourself by Conducting a Home Inventory”; 2010; David Machost Garrett Insurance. [cited by applicant]
“The Spex Field App—Features”; Spex; https://spexreport.com/features/; pp. 1-6, website visited Sep. 14, 2018. [cited by applicant]
“Will Social Media Change the Insurance Industry?”; Seeking Alpha; Mar. 6, 2012; seekingalpha.com/article/255962-will-social-media-change-the-insurance-industry. [cited by applicant]
Aug. 29, 2013 (US) Non-Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Nov. 12, 2013 (US) Non-Final Office Action—U.S. Appl. No. 13/608,765. [cited by applicant]
Oct. 15, 2013 (US) Non-Final Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Dec. 16, 2014 (US) Non-Final Office Action—U.S. Appl. No. 14/032,709. [cited by applicant]
Feb. 28, 2014 (US) Final Office Aciton—U.S. Appl. No. 13/608,765. [cited by applicant]
Jan. 14, 2014 (US) Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Mar. 31, 2014 (US) Final Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Oct. 7, 2014 (US) Non-Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
May 20, 2015 (US) Non-Final Office Action—U.S. Appl. No. 13/608,765. [cited by applicant]
May 26, 2015 (US) Final Office Action—U.S. Appl. No. 14/032,709. [cited by applicant]
Nov. 2, 2015 (US) Non-Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Nov. 27, 2015 (US) Non-Final Office Action—U.S. Appl. No. 14/065,006. [cited by applicant]
Oct. 5, 2015 (US) Final Office Action—U.S. Appl. No. 13/608,765. [cited by applicant]
Sep. 30, 2015 (US) Non-Final Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Apr. 18, 2016 (US) Non-Final Office Action—U.S. Appl. No. 14/032,709. [cited by applicant]
Aug. 1, 2016 (US) Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Aug. 24, 2016 (US) Office Action—U.S. Appl. No. 14/032,709. [cited by applicant]
Dec. 1, 2016 (US) Non-Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Jul. 21, 2016 (US) Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Jun. 10, 2016 (US) Office Action—U.S. Appl. No. 14/065,006. [cited by applicant]
Sep. 28, 2016 (US) Final Office Action—U.S. Appl. No. 14/065,006. [cited by applicant]
Aug. 8, 2017 (US) Final Office Aciton—U.S. Appl. No. 14/032,709. [cited by applicant]
Dec. 5, 2017 (US) Final Office Action—U.S. Appl. No. 14/065,006. [cited by applicant]
Feb. 9, 2017 (US) Office Action—U.S. Appl. No. 14/032,709. [cited by applicant]
Jul. 21, 2017 (US) Non-Final Office Action—U.S. Appl. No. 14/065,006. [cited by applicant]
Jul. 5, 2017 (US) Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Mar. 7, 2017 (US) Non-Final Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Sep. 18, 2017 (US) Final Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Apr. 4, 2018 (US) Non-Final Office Action—U.S. Appl. No. 14/032,709. [cited by applicant]
Dec. 21, 2018 (US) Non-Final Office Action—U.S. Appl. No. 14/065,006. [cited by applicant]
Mar. 26, 2018 (US) Non-Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Oct. 18, 2018 (US) Notice of Allowance—U.S. Appl. No. 14/032,709. [cited by applicant]
Sep. 28, 2018 (US) Non-Final Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Adrian Rosebrock “Measuring size of objects in an image with OpenCV”, pyimagesearch, https://www.pyimagesearch.com/2016/03/28measuring-size-of-objects-in-an-image-with-opencv/, pp. 1-72, Mar. 28, 2016. [cited by applicant]
Allstate Digital Locker; https://www.allstate.com/mobile/digital-locker-aspx; site last visited Jul. 29, 2015. [cited by applicant]
Bommeranglt: World's leading Lost and Found Service, Asset Protection, Asset Tracking, Luggage; Mar. 6, 2012; https://www.bommerangit.com. [cited by applicant]
Daniel Keir “What role is image recognition technology poised to play for insurance?”; Hartford Insurtech Hub; https://hartfordinsurtechhub.com/role-image-recognition-technology-poised-play-insurance/; pp. 1-4; Mar. 9, … [cited by applicant]
Franklin Zhao et al. “Deep Learning based Structural Damage Detection”; https://github.com/QinganZhao/Deep-Learning-based-Structural-Damage-Detection; Jun. 2017, pp. 1-8. [cited by applicant]
Home and Renters Insurance; Country Financial; Mar. 6, 2012; https://www.countryfinancial.com/SiteController?url=/insuranceinvestments/homeInsurance. [cited by applicant]
Home Inventory Software Review 2012 Asset Inventory Management Software Home Inventory . . . ; Mar. 6, 2012; home-inventory-software-review-toptenreviews.com. [cited by applicant]
Homeowners Insurance—Insure Your Home with State Farm; Mar. 6, 2012; https://www.statefarm.com/insurance/homeowners/homeowners.asp. [cited by applicant]
https://www.accurence.com/carriers; website visited May 4, 2018, pp. 1-6. [cited by applicant]
https://www.pantoninc.com/insurance.html; website visited May 4, 2018, pp. 1-5. [cited by applicant]
Karoon Rashedi Nia et al; “Building Damage Assessment Using Deep Learning and Ground-Level Image Date”; https://www.cs.sfu.ca/˜mori/research/papers/rashedi-nia-crv2017.pdf; website visited May 4, 2018, pp. 1-8. [cited by applicant]
Kyle Switch Plates; https://www.kyleswitchplates.com/switch-plate-size-reference-information/; website visited May 4, 2018, pp. 1-13. [cited by applicant]
MyHome Pro: Home Inventory—Apps on Android Market; Mar. 6, 2012; https://market.android.com/details?id=com. [cited by applicant]
Mar. 22, 2019—(US) Final Office Action—U.S. Appl. No. 13/608,752. [cited by applicant]
Jul. 1, 2019—(US) Notice of Allowance—U.S. Appl. No. 14/065,006. [cited by applicant]
May 22, 2020—(US) Notice of Allowance—U.S. Appl. No. 13/608,752. [cited by applicant]
“Spotlight: The Rise of the Smart Phone”, by Pei Zheng and Lionel M. Ni, IEEE Distributed Systems Online 1541-4922. Copyright 2006, Published by the IEEE Computer Society vol. 7, No. 3; Mar. 2006. (Year: 2006). [cited by applicant]
Sep. 17, 2020—(US) Non-Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Jan. 7, 2021—(US) Non-Final Office Action—U.S. Appl. No. 16/131,320. [cited by applicant]
Feb. 19, 2012—(US) Final Office Action—U.S. Appl. No. 13/608,760. [cited by applicant]
Mar. 4, 2021—(US) Notice of Allowance—U.S. Appl. No. 15/971,294. [cited by applicant]
May 17, 2021—(US) Non-Final Office Action—U.S. Appl. No. 16/662,934. [cited by applicant]
Jun. 4, 2021—(US) Notice of Allowance—U.S. Appl. No. 15/971,294. [cited by applicant]
“An Intro to Computer Vision and It's Impact on Insurance Claims and Analytics”, Oct. 5, 2017, Jul. 1, 2016, Hemi Ventures; medium.com, 6 pages (Year:2016). [cited by applicant]