公开(公告)号：US10604097B1

公开(公告)日：2020-03-31

申请号：US16385619

申请日：2019-04-16

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Michael Shawn Jacob ,  Nathan L. Tofte

IPC: B60R21/0136 ,  G07C5/00

Abstract: Systems and approaches for detecting an event, such as a crash involving a motorized and/or non-motorized vehicle, are described. In one approach, a listening component of a mobile computing device is first activated. This listening component may then monitor the sound proximate thereto (e.g., within the vehicle in which the mobile computing device is disposed). Using one or more processors, an audio source may be detected which was generated by an event (such as, for example, a crash involving the vehicle and/or an alerting triggering phrase) and was sensed by the listening component. Using an audio recognition technique, the detected audio source is processed to determine a severity of the event which generated the audio signal. This detection step may include identifying a type and magnitude of the detected audio signal using audio signal identification data. An information signal based on the severity of the event is then transmitted.

公开(公告)号：US10565658B1

公开(公告)日：2020-02-18

申请号：US15837649

申请日：2017-12-11

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Brian N. Harvey ,  Nathan L. Tofte ,  Roger D. Schmidgall ,  Michael Jeffrey Aviles ,  Kyle Pott ,  Rosemarie Geier Grant ,  Michael Shawn Jacob

IPC: G06Q40/08 ,  G06T17/20 ,  G06K9/00

Abstract: A method and system may determine the condition of insured properties in a neighborhood using aerial images captured from an unmanned aerial vehicle (UAV) or from a satellite device. The neighborhood may be selected by identifying a neighborhood that includes properties which are insured by a particular insurance provider. Aerial images of the entire neighborhood may then be captured and received from the UAV or the satellite device. For each insured property in the neighborhood, a condition and level of risk may be automatically determined based on the received aerial images. Then a level of risk indicator may be assigned to the insured property based on the determined level of risk. The aerial images of the insured property may be displayed on a user interface with indications of the level of risk overlaying the aerial images.

公开(公告)号：US10231110B1

公开(公告)日：2019-03-12

申请号：US15895777

申请日：2018-02-13

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Shawn M. Call ,  Michael Shawn Jacob ,  Scott T. Christensen ,  Jackie O. Jordan, II ,  Gregory D. Carter ,  Shawn C. Bennett

IPC: H04W4/90 ,  G07C5/00 ,  G08G1/00 ,  H04W4/40 ,  H04W4/021

Abstract: A crash detection system is disclosed that utilizes a mobile computing device to detect a vehicular accident via one or more sensors integrated into the mobile computing device. The system monitors the sensor metrics measured by one or more sensors and generates an event sensor profile that may include the plurality of sensor metrics and additional status data, such as an indication of whether the mobile computing device was located within a vehicle when the event occurred. By comparing the plurality of sensor metrics to other crash sensor metrics, a determination may be made whether the event requires emergency assistance, which may be confirmed by determining whether the data included in the event sensor profile meets one or more exception conditions. If the event requires emergency assistance and an exception condition is not met, the mobile computing device may place a call to the appropriate emergency response personnel.

公开(公告)号：US10134092B1

公开(公告)日：2018-11-20

申请号：US14510492

申请日：2014-10-09

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Brian N. Harvey ,  Nathan L. Tofte ,  Roger D. Schmidgall ,  Michael Jeffrey Aviles ,  Kyle Pott ,  Rosemarie Geier Grant ,  Michael Shawn Jacob

IPC: G06Q40/00 ,  G06Q40/08 ,  G06K9/00 ,  G06K9/64

Abstract: A method and system may assess the damage to insured properties in a neighborhood using aerial images captured from an unmanned aerial vehicle (UAV) or from a satellite device. The neighborhood may be selected by identifying a neighborhood affected by a catastrophe and having a large concentration of properties which are insured by a particular insurance provider. Aerial images of the entire neighborhood may then be captured and received from the UAV or the satellite device. For each insured property in the neighborhood, a condition and the extent and/or severity of the damage may be automatically determined based on the received aerial images. The aerial images along with indications of the extent of the damage may be displayed.

公开(公告)号：US09875509B1

公开(公告)日：2018-01-23

申请号：US14510307

申请日：2014-10-09

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Brian N. Harvey ,  Nathan L. Tofte ,  Roger D. Schmidgall ,  Michael Jeffrey Aviles ,  Kyle Pott ,  Rosemarie Geier Grant ,  Michael Shawn Jacob

IPC: G06Q40/08 ,  G06K9/00 ,  G06T17/20

CPC classification number: G06Q40/08 ,  G06K9/00637 ,  G06T17/20 ,  G06T2210/04

Abstract: A method and system may determine the condition of insured properties in a neighborhood using aerial images captured from an unmanned aerial vehicle (UAV) or from a satellite device. The neighborhood may be selected by identifying a neighborhood having a large concentration of properties which are insured by a particular insurance provider. Aerial images of the entire neighborhood may then be captured and received from the UAV or the satellite device. For each insured property in the neighborhood, a condition and level of risk may be automatically determined based on the received aerial images, and the aerial images along with indications of the level of risk may be displayed.

公开(公告)号：US20250156767A1

公开(公告)日：2025-05-15

申请号：US19026813

申请日：2025-01-17

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Michael Shawn Jacob ,  Manali B. Desai ,  Joshua Robert Brown ,  Oscar Allan Arulfo ,  Leah Nicole Garcia

IPC: G06N20/00 ,  G06F16/22 ,  G06F16/2458

Abstract: This disclosure provides systems for generating customized datasets. An example dataset generator mines contacts from multiple members of an enterprise, applies a pattern recognition process to determine attributes of the contacts aligned with objectives of the enterprise, stores the contacts and associated attributes in a relational data structure, and through a machine learning process, generates a customized contact dataset of the contacts with attributes relevant to a user request, an event, or a notification received. The example dataset generator may also generate an action steps dataset for the user. The dataset generator may aggregate contacts from calls, chats, emails, SMS messages, and video feeds of an enterprise, apply a pattern recognition process to determine attributes of the contacts, and through a machine learning process, partition and distribute the contacts and associated action steps on respective dashboards of multiple customer service representatives of the enterprise.

公开(公告)号：US20250045840A1

公开(公告)日：2025-02-06

申请号：US18920846

申请日：2024-10-18

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Nathan L. Tofte ,  Timothy Ryan ,  Nathan W. Baumann ,  Michael Shawn Jacob ,  Joshua David Lillie ,  Brian N. Harvey ,  Roxane Lyons ,  Rosemarie Geier Grant

IPC: G06Q40/08 ,  B64C39/02 ,  B64D47/08 ,  B64U10/00 ,  B64U10/14 ,  B64U101/00 ,  B64U101/30 ,  G01C11/02 ,  G06F18/22 ,  G06Q40/00 ,  G06T7/00 ,  G06T7/20 ,  G06T7/246 ,  G06T7/73 ,  G06T11/60 ,  G06T17/05 ,  G06V10/42 ,  G06V20/10 ,  G06V20/40 ,  H04N5/44 ,  H04N7/18

Abstract: Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

公开(公告)号：US20240220878A1

公开(公告)日：2024-07-04

申请号：US18425409

申请日：2024-01-29

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Michael Shawn Jacob ,  Manali Desai ,  Leah Garcia ,  Oscar Allan Arulfo

IPC: G06Q10/0631 ,  G06F3/0486 ,  G06F3/14 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/0633 ,  H04L67/10

CPC classification number: G06Q10/06311 ,  G06F3/0486 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/063112 ,  G06Q10/063114 ,  G06Q10/0633 ,  G06F3/14 ,  H04L67/10

Abstract: A task management platform generates an interactive display tasks based on multi-team activity data of different geographic locations across a plurality of distributed guided user interfaces (GUIs). Additionally the task management platform uses a distributed machine-learning based system to determine a suggested task item for a remote team based on multi-team activity data of different geographic locations.

公开(公告)号：US11887029B2

公开(公告)日：2024-01-30

申请号：US18172069

申请日：2023-02-21

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Michael Shawn Jacob ,  Manali Desai ,  Leah Garcia ,  Oscar Allan Arulfo

IPC: G06Q10/0631 ,  G06N20/00 ,  G06N5/04 ,  G06F3/0486 ,  G06Q10/0633 ,  G06F3/14 ,  H04L67/10

CPC classification number: G06Q10/06311 ,  G06F3/0486 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/0633 ,  G06Q10/063112 ,  G06Q10/063114 ,  G06F3/14 ,  H04L67/10

Abstract: A task management platform generates an interactive display tasks based on multi-team activity data of different geographic locations across a plurality of distributed guided user interfaces (GUIs). Additionally the task management platform uses a distributed machine-learning based system to determine a suggested task item for a remote team based on multi-team activity data of different geographic locations.

公开(公告)号：US11836032B2

公开(公告)日：2023-12-05

申请号：US17501231

申请日：2021-10-14

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Michael Shawn Jacob ,  Benjamin D. Schappaugh ,  William Guthrie ,  Frank Matthew McCully ,  Timothy J. Nickel ,  Brian W. Batronis ,  Robert D. Rariden

IPC: G06F11/07 ,  G06F11/00 ,  G06N20/00

CPC classification number: G06F11/004 ,  G06F11/0754 ,  G06N20/00

Abstract: Techniques for identifying faults in a collaborative computing system including a plurality of disparate, geographically separated computing systems are described herein. An intelligent monitoring (IM) server computing system may receive data from the plurality of computing devices and may monitor the health of the collaborative computing system. The IM server computing system may analyze the data and identify one or more faults associated with a portion of the collaborative system (e.g., an associated computing device, platform, network, etc.). In some examples, the IM server computing system may be configured to identify potential future faults associated with the portion of the collaborative system. Based on the fault, the IM server computing device may determine an action to take to remedy the fault and/or prevent the potential future fault. The IM server computing device may either automatically perform the action or send a notification to the associated computing system to perform the action.