State Farm Mutual Automobile Insurance Company

Mark E Clauss

Craig Benjamin Cope

Douglas Albert Graff

Nathan Wilhelm Baumann

Megan Michal Baumann

Thomas Michael Potter

Dustin Ryan Carter

Atlanta Bonnom

Jennifer Luella Lawyer

Curtis Simpson

Todd Binion

Nicholas R Baker

Steven Joseph Balbach

David W Thurber

Richard J Lovings

Brian Mark Fields

Kyle Pott

Andrea Lee Rhoades

Kerry Cote

Steve J Balbach

Jeff Riblet

Matthew Eric Riley, Sr

J Lynn Wilson

Vicki King

Ryan Michael Gross

Jennifer L Crawford

Rick Lovings

Daryoush Hakimi

A method of driver behavior that includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data in real-time. The method also includes analyzing the telematics data to determine whether a driving score for a driver, determining whether the driving score is greater than a threshold value, determining a discount based upon the driving score being higher than the threshold, and generating a communication based upon the discount. The method further includes transmitting the communication.

Methods of facilitating emergency assistance

A system and method may collect telematics and/or other data, and apply the data to insurance-based applications. From the data, an insurance provider may determine accurate vehicle usage information, including information regarding who is using a vehicle and under what conditions. An insurance provider may likewise determine risk levels or a risk profile for an insured driver (or other drivers), which may be used to adjust automobile or other insurance policies. The insurance provider may also use the data collected to adjust behavior based insurance using incentives, recommendations, or other means. For customers that opt-in to the data collection program offered, the present embodiments present the opportunity to demonstrate a low or moderate risk lifestyle and the chance for insurance-related savings based upon that low or moderate risk.

Methods of providing insurance savings based upon telematics and driving behavior identification

A method of vehicle accident response includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data. The method also includes analyzing the telematics data to determine that an accident involving the vehicle has occurred, analyzing the telematics data to determine a likelihood of injury due to the accident, and generating a communication (i) based upon the telematics data and the likelihood of injury and (ii) in response to determining that the accident has occurred. The method further includes transmitting, to the mobile device, the communication.

In system and methods for pre-generating insurance claims, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. An estimated insurance claim may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver to facilitate presenting all, or a portion of, the estimated insurance claim to the driver or the insured. A wireless communication from the driver or insured indicating approval, rejection or modification of the estimated insurance claim may be received. The estimated insurance claim may be handled in accordance with the approval, rejection or modification.

Methods of pre-generating insurance claims

In system and methods for loss mitigation, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. A communication related to emergency assistance or an emergency assistance recommendation may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver. A wireless communication from the driver indicating approval or modification of the emergency assistance or emergency assistance recommendation may be received. A third party may be notified, via a communication sent from the remote server(s), of requested emergency assistance as approved or modified by the driver. An estimated insurance claim may also be generated based upon vehicle accident likely severity.

A trusted data bank organizes and manages access to streams of personal data owned by users with their permission. The data bank accepts incoming streams of personal data from users (such as financial, utility account, medical, insurance, activity, hobby, life style, consumer preferences, commercial transactions, telematics or smart home data, etc.), and applies user-defined privacy directives. The data bank receives personal data stream criteria and offers for goods, services, discounts, or incentives from personal data consumers (end users). The data bank may compare available streams of personal data and associated privacy directives for potential matches with criteria specified by consumers of personal data, and display offers to qualifying owners of personal data streams. If the owner accepts the offer, the data bank facilitates supplying the personal data stream to the consumer of personal data, and retains the ability to discontinue access to the stream at the owner's request.

Data bank for managing streams of personal 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 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.

An odometer verification method includes capturing an odometer image at a threshold date, calculating a first and a second mileage using OCR, determining whether the first and the second mileage match, and updating a user profile associated with the insurance policy. A non-transitory, tangible computer-readable medium stores machine readable instructions in a mobile computing device, that when executed by a processor, cause the processor to capture an odometer image at a threshold date, calculate a first and a second mileage using OCR, determine whether the first and the second mileage match, and update a user profile. A mobile computing device includes an image capture unit configured to capture an odometer image at a threshold date, perform a first and a second OCR, determine whether the first and the second mileage match, and update the insurance policy user profile of the vehicle.

Verifying odometer mileage using captured images and optical character recognition (OCR)

A method of responding to a vehicle accident includes receiving data indicating that vehicle is involved in an accident. The method further includes transmitting a communication to a mobile device of a user in response to receiving the data. Still further, the method includes displaying the communication via a mobile device application on the mobile device, the communication prompting the user to provide responses to one or more questions regarding the accident. The method further includes determining a likely severity of the accident based on the received data, receiving an indication of a response to the one or more questions from the user, and, based on the determination of the likely severity of the accident and the received indication of the response, prompting the user with an emergency assistance recommendation. In addition, the method further includes performing one or more assessments based on the determination of the likely severity of the accident, the one or more assessments including determining damage to the vehicle, repairs needed for the vehicle, or fault of the user for the accident.

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Bloomington, IL, United States of America

Mark E Clauss