State Farm Mutual Automobile Insurance Company

Kyle Pott

Nathan Lee Tofte

Brian N Harvey

Michael Shawn Jacob

Rosemarie Geier Grant

Roger D Schmidgall

Michael Jeffrey Aviles

Eric Haefli

Brian Mark Fields

Todd Binion

Mark E Clauss

Nicholas R Baker

Andrea Lee Rhoades

Kerry Cote

Steven Joseph Balbach

Steve J Balbach

A method and system may survey a property using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. The method may include identifying a commercial property for a UAV to perform surveillance, and directing the UAV to hover over the commercial property and capture aerial images at predetermined time intervals. Furthermore, the method may include receiving the aerial images of the commercial property captured at the predetermined time intervals, detecting a surveillance event at the commercial property, generating a surveillance alert, and transmitting the surveillance alert to an electronic device associated with an owner of the commercial property.

Method and system for assessing damage to infrastructure

Methods and systems for analyzing vehicle operation data associated with a temporary or periodic usage of a vehicle by a driver. In aspects, the vehicle operation data may be analyzed to assess a performance of the driver during operation of the vehicle. Based on the performance of the driver, the driver may qualify for a reward.

Systems and methods for managing and processing vehicle operator accounts based on vehicle operation data

Methods and systems for analyzing vehicle operation data associated with a temporary or periodic usage of a vehicle by a driver. In aspects, the driver may associate with an electronic device within the vehicle that may record or collect the vehicle operation data. After the vehicle operation has concluded, the vehicle operation data may be analyzed to assess a performance of the driver during operation of the vehicle, whereby the performance may be influenced by positive or negative driving events. Based on the performance of the driver, a profile or account of the user may be processed accordingly such that the user may be incentivized to modify certain driving behaviors.

A method and system may assess the damage to infrastructure using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. Specifically, an item of infrastructure may be identified for assessing damage. The UAV, MAV, or satellite device may then capture aerial images within an area which surrounds the identified infrastructure item. Subsequently, the aerial images may be analyzed to determine a condition and the extent and/or severity of the damage to the infrastructure item. Furthermore, the aerial images along with indications of the extent of the damage may be displayed on a computing device, where one indication of the severity of the damage surrounds another indication of the severity of the damage on the display.

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.

Method and system for determining the condition of insured properties in a neighborhood

A method and system may display real-time aerial images of insured properties in a neighborhood captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV), or from a satellite device. For example, aerial images of a neighborhood having insured properties, that have been affected by a catastrophe, may be received from the UAV, MAV, or the satellite device. Aerial images of each insured property may be analyzed to determine a damage severity level and assign a damage severity level indicator to the damage severity level. As a result, the property owner may receive a notification that a catastrophe has impacted her neighborhood. Moreover, the real-time images, with damage severity level indicators overlaying the property, may be transmitted via a web page to the property owner's web-enabled device after the property owner logs in to a customer account.

Method and system for generating real-time images of customer homes during a catastrophe

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.

Method and system for assessing damage to insured properties in a neighborhood

A method and system may assess the damage to insured properties in a neighborhood using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. Specifically, a neighborhood that has been affected by a natural or man-made disaster may be identified for assessing damage. The UAV, MAV, or satellite device may then capture aerial images within an area which surrounds the identified neighborhood. Subsequently, the aerial images may be analyzed to identify insured properties, and determine a condition and the extent and/or severity of the damage to each insured property. Furthermore, the aerial images along with indications of the extent of the damage to each insured property may be displayed on a computing device.

Method and system for assessing damage to infrastucture

A method and system may display real-time aerial images of insured properties in a neighborhood captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV), or from a satellite device. For example, a neighborhood which has been affected by a catastrophe and has a large concentration of properties which are insured by a particular insurance provider may be identified. Aerial images of the entire neighborhood may then be received from the UAV, MAV, or the satellite device. As a result, the property owner may receive a notification that a catastrophe has impacted her neighborhood. The notification may also indicate that real-time images of the owner's property may be viewable by logging in to a customer account. Moreover, the real-time images may be transmitted via a web page to the property owner's web-enabled device after the property owner logs in to the customer account.

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.

Growing community of inventors

Bloomington, IL, United States of America

Kyle Pott