公开(公告)号：US20240338903A1

公开(公告)日：2024-10-10

申请号：US18372520

申请日：2023-09-25

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Alexander Cardona ,  Arsh Singh

IPC: G06T19/00

CPC classification number: G06T19/006

Abstract: Systems and methods disclosed herein relate generally to using augmented reality (AR) for receiving and displaying recommended devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended device.

公开(公告)号：US20240338896A1

公开(公告)日：2024-10-10

申请号：US18372573

申请日：2023-09-25

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Bryan Nussbaum ,  Alexander Cardona ,  Michael P. Baran ,  John Mullins ,  Randy Oun ,  Phillip M. Wilkowski ,  Sharon Gibson ,  Jason Goldfarb ,  Daniel Wilson ,  Arsh Singh ,  Ronald Dean Nelson ,  John Andrew Schirano ,  Chris Kawakita ,  Amy L. Starr

IPC: G06T19/00 ,  G06Q10/0875 ,  G06Q50/16

CPC classification number: G06T19/00 ,  G06Q10/0875 ,  G06Q50/16 ,  G06T2219/004

Abstract: Systems and methods disclosed herein relates generally to using virtual reality (VR) for creating a digital twin of a home. In some embodiments, image data of a structure and an indication of a modification may be received, a virtual reality (VR) feed including a virtual representation of the modification proximate the structure may be generated, and the VR feed may be provided for presentation to a user within a VR display.

公开(公告)号：US20240338747A1

公开(公告)日：2024-10-10

申请号：US18631275

申请日：2024-04-10

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： John Mullins ,  Randy Oun ,  Phillip Michael Wilkowski ,  Sharon Gibson ,  Arsh Singh ,  Daniel Wilson ,  Michael P. Baran ,  Bryan Nussbaum ,  Anish Agarwal ,  Ronald Dean Nelson ,  Alexander Cardona ,  Daniel Wang ,  Amy L. Starr

IPC: G06Q30/0601

CPC classification number: G06Q30/0631 ,  G06Q30/0633

Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) determine at least one of an overall home score, a home safety subscore, a fire protection subscore, a sustainability subscore, and/or a home automation subscore for a home; (2) identify a device; (3) determine a home score improvement that adding the device to the home would make for the overall home score, the home safety subscore, the fire protection subscore, the sustainability subscore, and/or the home automation subscore; and/or (4) display the home score improvement on a display, and/or otherwise visually, graphically, textually, audibly, or verbally outputting the home score improvement, such as via a processor, screen, voice bot, chatbot, or other bot.

公开(公告)号：US20240320755A1

公开(公告)日：2024-09-26

申请号：US18735558

申请日：2024-06-06

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Sharon Gibson ,  Daniel Wilson ,  Phillip Michael Wilkowski ,  Jason Goldfarb ,  Arsh Singh ,  Dustin Helland

IPC: G06Q40/08

CPC classification number: G06Q40/08

Abstract: Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.

公开(公告)号：US20240273637A1

公开(公告)日：2024-08-15

申请号：US18643603

申请日：2024-04-23

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Sharon Gibson ,  Daniel Wilson ,  Phillip Michael Wilkowski ,  Jason Goldfarb ,  Arsh Singh ,  Dustin Helland

IPC: G06Q40/08

CPC classification number: G06Q40/08

Abstract: Systems and methods are described for evaluating and gamifying maintenance for a property by a user. The method may include: (1) retrieving home data for a first property; (2) determining, using a first trained machine learning evaluation model, one or more home score factors based upon at least the home data; (3) generating, based upon the one or more home score factors, a home score for the first property; (4) determining, using a second trained machine learning evaluation model, that one or more additional properties are similar to the first property; (5) retrieving past hazard data associated with a second property of the one or more additional properties; and (6) generating, based upon at least the past hazard data and at least one of the one or more home score factors, a learning module for the first property.