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    TECHNOLOGY FOR DETECTING ONBOARD SENSOR TAMPERING
    22.
    发明公开
    TECHNOLOGY FOR DETECTING ONBOARD SENSOR TAMPERING 审中-公开

    公开(公告)号：US20230410576A1

    公开(公告)日：2023-12-21

    申请号：US18231369

    申请日：2023-08-08

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Aaron Scott Chan ,  Kenneth J. Sanchez ,  Gina Taylor ,  Saivikas Thalluri ,  Jie Yan

    IPC: G07C5/08 ,  G06F11/32 ,  G07C5/04 ,  G07C5/00

    CPC classification number: G07C5/0816 ,  G06F11/327 ,  G07C5/085 ,  G07C5/008 ,  G07C5/04

    Abstract: Systems and methods detecting onboard sensor tampering are disclosed. According to embodiments, data captured by interior sensors within a vehicle may be analyzed to determine an indication that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified using the captured data (e.g., that the captured data may be compromised). A date and time associated with the indication may be recorded, and a vehicle operator associated with the indication may be identified. A possible cause for the compromised data may be diagnosed, and notification may be generated indicating that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified, and/or the possible cause. Additionally, a recommendation for restoring sensor functionality may be generated for the vehicle operator based the possible cause.

    Technology for detecting onboard sensor tampering
    23.
    发明授权
    Technology for detecting onboard sensor tampering 有权

    公开(公告)号：US11763608B2

    公开(公告)日：2023-09-19

    申请号：US17867020

    申请日：2022-07-18

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Aaron Scott Chan ,  Kenneth J. Sanchez ,  Gina Taylor ,  Saivikas Thalluri ,  Jie Yan

    IPC: G07C5/08 ,  G06F11/32 ,  G07C5/04 ,  G07C5/00

    CPC classification number: G07C5/0816 ,  G06F11/327 ,  G07C5/008 ,  G07C5/04 ,  G07C5/085

    Abstract: Systems and methods detecting onboard sensor tampering are disclosed. According to embodiments, data captured by interior sensors within a vehicle may be analyzed to determine an indication that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified using the captured data (e.g., that the captured data may be compromised). A date and time associated with the indication may be recorded, and a vehicle operator associated with the indication may be identified. A possible cause for the compromised data may be diagnosed, and notification may be generated indicating that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified, and/or the possible cause. Additionally, a recommendation for restoring sensor functionality may be generated for the vehicle operator based the possible cause.

    Technology for detecting onboard sensor tampering
    25.
    发明授权
    Technology for detecting onboard sensor tampering 有权

    公开(公告)号：US11423716B1

    公开(公告)日：2022-08-23

    申请号：US16933377

    申请日：2020-07-20

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Aaron Scott Chan ,  Kenneth J. Sanchez ,  Gina Taylor ,  Saivikas Thalluri ,  Jie Yan

    IPC: G07C5/08 ,  G06F11/32 ,  G07C5/04 ,  G07C5/00

    Abstract: Systems and methods detecting onboard sensor tampering are disclosed. According to embodiments, data captured by interior sensors within a vehicle may be analyzed to determine an indication that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified using the captured data (e.g., that the captured data may be compromised). A date and time associated with the indication may be recorded, and a vehicle operator associated with the indication may be identified. A possible cause for the compromised data may be diagnosed, and notification may be generated indicating that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified, and/or the possible cause. Additionally, a recommendation for restoring sensor functionality may be generated for the vehicle operator based the possible cause.

    METHOD OF CONTROLLING FOR UNDESIRED FACTORS IN MACHINE LEARNING MODELS
    27.
    发明申请
    METHOD OF CONTROLLING FOR UNDESIRED FACTORS IN MACHINE LEARNING MODELS 有权

    公开(公告)号：US20220261918A1

    公开(公告)日：2022-08-18

    申请号：US17733465

    申请日：2022-04-29

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Jeffrey S. Myers ,  Kenneth J. Sanchez ,  Michael L. Bernico

    IPC: G06Q40/08 ,  G06V30/194 ,  G06V10/75 ,  H04N7/18 ,  G06N3/08 ,  G06V10/44

    Abstract: A method of training and using a machine learning model that controls for consideration of undesired factors which might otherwise be considered by the trained model during its subsequent analyses of new data. For example, the model may be a neural network trained on a set of training images to evaluate an insurance applicant based upon an image or audio data of the insurance applicant as part of an underwriting process to determine an appropriate life or health insurance premium. The model is trained to probabilistically correlate an aspect of the applicant's appearance with a personal and/or health-related characteristic. Any undesired factors, such as age, sex, ethnicity, and/or race, are identified for exclusion. The trained model receives the image (e.g., a “selfie”) of the insurance applicant, analyzes the image without considering the identified undesired factors, and suggests the appropriate insurance premium based only on the remaining desired factors.

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