Patents by Inventor Michael Bernico
Michael Bernico has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240079117Abstract: A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: ApplicationFiled: November 10, 2023Publication date: March 7, 2024Inventors: Dingchao Zhang, Jeffrey S. Myers, Michael Bernico, Marigona Bokshi-Drotar, Edward W. Breitweiser, Peter Laube, Utku Pamuksuz
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Patent number: 11862326Abstract: A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: GrantFiled: October 27, 2020Date of Patent: January 2, 2024Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Dingchao Zhang, Jeffrey S. Myers, Michael Bernico, Marigona Bokshi-Drotar, Edward W. Breitweiser, Peter Laube, Utku Pamuksuz
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Publication number: 20230386331Abstract: Systems and methods for real-time detection and mitigation anomalous behavior of a remote vehicle are provided, e.g., vehicle behavior that is consistent with distracted or unexpectedly disabled driving. On-board and off-board sensors associated with a subject vehicle may monitor the subject vehicle's environment, and behavior characteristics of a remote vehicle operating within the subject vehicle's environment may be determined based upon collected sensor data. The remote vehicle's behavior characteristics may be utilized to detect or determine the presence of anomalous behavior, which may be anomalous for the current contextual conditions of the vehicles' environment. Mitigating actions for detected remote vehicle anomalous behaviors may be suggested and/or automatically implemented at the subject vehicle and/or at proximate vehicles to avoid or reduce the risk of accidents, injury, or death resulting from the anomalous behavior. In some situations, authorities may be notified.Type: ApplicationFiled: August 8, 2023Publication date: November 30, 2023Inventors: John A. Nepomuceno, Scott T. Christensen, Duane Christiansen, Steven C. Cielocha, Kristopher Keith Gaudin, Michael Bernico, Nathan L. Tofte, Steve Roberson, Brian Fields
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Patent number: 11776246Abstract: A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: GrantFiled: November 8, 2022Date of Patent: October 3, 2023Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Dingchao Zhang, Michael Bernico, Peter Laube, Utku Pamuksuz, Jeffrey S. Myers, Marigona Bokshi-Drotar, Edward W. Breitweiser
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Patent number: 11763669Abstract: Systems and methods for real-time detection and mitigation anomalous behavior of a remote vehicle are provided, e.g., vehicle behavior that is consistent with distracted or unexpectedly disabled driving. On-board and off-board sensors associated with a subject vehicle may monitor the subject vehicle's environment, and behavior characteristics of a remote vehicle operating within the subject vehicle's environment may be determined based upon collected sensor data. The remote vehicle's behavior characteristics may be utilized to detect or determine the presence of anomalous behavior, which may be anomalous for the current contextual conditions of the vehicles' environment. Mitigating actions for detected remote vehicle anomalous behaviors may be suggested and/or automatically implemented at the subject vehicle and/or at proximate vehicles to avoid or reduce the risk of accidents, injury, or death resulting from the anomalous behavior. In some situations, authorities may be notified.Type: GrantFiled: December 10, 2021Date of Patent: September 19, 2023Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Brian M. Fields, John A. Nepomuceno, Scott Thomas Christensen, Duane Christiansen, Steven C. Cielocha, Kristopher Keith Gaudin, Michael Bernico, Nathan L. Tofte, Steve Roberson
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Publication number: 20230230166Abstract: A system and computer-implemented method for classifying a level of vehicle damage includes receiving, at a remote server, captured image data of a vehicle from a user electronic device. The user electronic device has an orientation model configured to assist image capture. The image data is processed by the remote server using a damage assessment model. In addition, the remote server determines a classification for a level of damage to the vehicle based on the processed image data.Type: ApplicationFiled: June 15, 2018Publication date: July 20, 2023Applicant: State Farm Mutual Automobile Insurance CompanyInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Publication number: 20230206704Abstract: Systems and methods for identifying anomalous driving behavior for a vehicle based on past driving behavior are disclosed herein. The method may include receiving a set of time-series driving data for the vehicle, wherein the set of time-series driving data is indicative of a set of operating conditions for the vehicle. Performing machine learning operations on the set of time-series driving data. Identifying a set of anomalous conditions in the time-series driving data based on a result set produced by the machine learning operations, wherein the set of anomalous conditions are indicative of an anomalous vehicle behavior. Comparing the set of anomalous conditions to a set of historical time-series driving data for the vehicle. Generating a vehicle feedback based on the time-series driving data and the comparison of the set of anomalous conditions to the set of historical time-series driving data.Type: ApplicationFiled: February 17, 2023Publication date: June 29, 2023Inventor: Michael Bernico
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Publication number: 20230196855Abstract: Systems and methods for identifying anomalous driving behavior for a vehicle based on past driving behavior are disclosed herein. The method may include receiving a set of time-series driving data for the vehicle, wherein the set of time-series driving data is indicative of a set of operating conditions for the vehicle. Performing machine learning operations on the set of time-series driving data. Identifying a set of anomalous conditions in the time-series driving data based on a result set produced by the machine learning operations, wherein the set of anomalous conditions are indicative of an anomalous vehicle behavior. Comparing the set of anomalous conditions to a set of historical time-series driving data for the vehicle. Generating a vehicle feedback based on the time-series driving data and the comparison of the set of anomalous conditions to the set of historical time-series driving data.Type: ApplicationFiled: February 17, 2023Publication date: June 22, 2023Inventor: Michael Bernico
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Publication number: 20230177616Abstract: A system and method for processing an insurance claim for damage to a vehicle, home, or other property. Image data of the damaged property may be examined, with an insured's permission or affirmative consent, by a processor using a machine learning technology to determine the amount of damage; determine a repair or replacement cost; generate a proposed insurance claim and initiate processing the insurance claim; and perform additional actions relevant to handling the insurance claim or assisting the claimant. The additional actions may include estimating a repair or replacement cost and time; identifying a repair service; determining an availability of repair parts and appointments; identifying one or more salvage services; identifying settlement options; and identifying temporary replacement property (e.g., rental vehicles or hotel rooms). The processor may receive and account for GPS location of the damaged property or the insured's mobile device, and/or the forecasted weather for that location.Type: ApplicationFiled: January 26, 2023Publication date: June 8, 2023Applicant: State Farm Mutual Automobile Insurance CompanyInventors: David Thurber, Paul Rutkowski, Michael Aviles, Ivan Hall, George T. Dulee, JR., Michael Bernico, Timothy J. Nickel, Joshua Samara, William J. Leise
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Patent number: 11610441Abstract: Systems and methods for identifying anomalous driving behavior for a vehicle based on past driving behavior are disclosed herein. The method may include receiving a set of time-series driving data for the vehicle, wherein the set of time-series driving data is indicative of a set of operating conditions for the vehicle. Performing machine learning operations on the set of time-series driving data. Identifying a set of anomalous conditions in the time-series driving data based on a result set produced by the machine learning operations, wherein the set of anomalous conditions are indicative of an anomalous vehicle behavior. Comparing the set of anomalous conditions to a set of historical time-series driving data for the vehicle. Generating a vehicle feedback based on the time-series driving data and the comparison of the set of anomalous conditions to the set of historical time-series driving data.Type: GrantFiled: June 22, 2017Date of Patent: March 21, 2023Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventor: Michael Bernico
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Publication number: 20230060732Abstract: A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: ApplicationFiled: November 8, 2022Publication date: March 2, 2023Inventors: Dingchao Zhang, Michael Bernico, Peter Laube, Utku Pamuksuz, Jeffrey S. Myers, Marigona Bokshi-Drotar, Edward W. Breitweiser
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Patent number: 11521412Abstract: A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.Type: GrantFiled: November 2, 2020Date of Patent: December 6, 2022Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Dingchao Zhang, Michael Bernico, Peter Laube, Utku Pamuksuz, Jeffrey S. Myers, Marigona Bokshi-Drotar, Edward W. Breitweiser
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Patent number: 11372699Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for detecting system outages using application event logs. Various aspects may include obtaining several prior application event logs where the status of the system is known at the time the application event logs were recorded. Additionally, various aspects may include determining characteristics of prior application event logs which were recorded during a system outage, and/or determining characteristics of prior application event logs which were recorded while the system was available. When current application event logs are obtained where the status of the system is unknown at the time the current application event logs are recorded, various aspects include comparing the current application event logs to the prior application event logs to determine that a system outage has occurred based upon the comparison.Type: GrantFiled: June 16, 2020Date of Patent: June 28, 2022Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Michael Bernico, Brian Alexander, Abigail A. Scott, Andrew J. Rader
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Publication number: 20220114627Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.Type: ApplicationFiled: December 20, 2021Publication date: April 14, 2022Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Publication number: 20220101726Abstract: Systems and methods for real-time detection and mitigation anomalous behavior of a remote vehicle are provided, e.g., vehicle behavior that is consistent with distracted or unexpectedly disabled driving. On-board and off-board sensors associated with a subject vehicle may monitor the subject vehicle's environment, and behavior characteristics of a remote vehicle operating within the subject vehicle's environment may be determined based upon collected sensor data. The remote vehicle's behavior characteristics may be utilized to detect or determine the presence of anomalous behavior, which may be anomalous for the current contextual conditions of the vehicles' environment. Mitigating actions for detected remote vehicle anomalous behaviors may be suggested and/or automatically implemented at the subject vehicle and/or at proximate vehicles to avoid or reduce the risk of accidents, injury, or death resulting from the anomalous behavior. In some situations, authorities may be notified.Type: ApplicationFiled: December 10, 2021Publication date: March 31, 2022Inventors: Brian M. Fields, John A. Nepomuceno, Scott Thomas Christensen, Duane Christiansen, Steven C. Cielocha, Kristopher Keith Gaudin, Michael Bernico, Nathan L. Tofte, Steve Roberson
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Patent number: 11238506Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.Type: GrantFiled: June 15, 2018Date of Patent: February 1, 2022Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 11232708Abstract: Systems and methods for real-time detection and mitigation anomalous behavior of a remote vehicle are provided, e.g., vehicle behavior that is consistent with distracted or unexpectedly disabled driving. On-board and off-board sensors associated with a subject vehicle may monitor the subject vehicle's environment, and behavior characteristics of a remote vehicle operating within the subject vehicle's environment may be determined based upon collected sensor data. The remote vehicle's behavior characteristics may be utilized to detect or determine the presence of anomalous behavior, which may be anomalous for the current contextual conditions of the vehicles' environment. Mitigating actions for detected remote vehicle anomalous behaviors may be suggested and/or automatically implemented at the subject vehicle and/or at proximate vehicles to avoid or reduce the risk of accidents, injury, or death resulting from the anomalous behavior. In some situations, authorities may be notified.Type: GrantFiled: June 26, 2020Date of Patent: January 25, 2022Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Brian Mark Fields, John A. Nepomuceno, Scott Thomas Christensen, Duane Christiansen, Steven C. Cielocha, Kristopher Keith Gaudin, Michael Bernico, Nathan L. Tofte, Steve Roberson
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Publication number: 20210374997Abstract: A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.Type: ApplicationFiled: August 13, 2021Publication date: December 2, 2021Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Publication number: 20210350470Abstract: A system and computer-implemented method for processing image data of a vehicle to identify one or more damaged parts includes receiving the image data of the vehicle from a policyholder. The image data is processed to determine whether the image data includes images of one or more damaged parts of the vehicle. One or more damaged parts are identified. A parts database is used to receive data corresponding to the identified one or more damaged parts. A parts list is generated including the identified one or more damaged parts and the data corresponding to the identified one or more damaged parts.Type: ApplicationFiled: June 15, 2018Publication date: November 11, 2021Applicant: State Farm Mutual Automobile Insurance CompanyInventors: Holly Lambert, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Shane Tomlinson, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang
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Patent number: 11120574Abstract: A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.Type: GrantFiled: June 15, 2018Date of Patent: September 14, 2021Assignee: State Farm Mutual Automobile Insurance CompanyInventors: Shane Tomlinson, Jennifer Malia Andrus, Marigona Bokshi-Drotar, Holly Lambert, Daniel J. Green, Michael Bernico, Bradley A. Sliz, He Yang