Systems and methods for generating calm or quiet routes

    公开(公告)号:US12055400B2

    公开(公告)日:2024-08-06

    申请号:US18233040

    申请日:2023-08-11

    Applicant: BlueOwl, LLC

    Abstract: Systems and methods for generating calm or quiet routes are provided. When a user requests navigation directions and indicates a preference for a calm route, a plurality of routes between the origin location and the destination location requested by the user may be identified. Historical sensor data (e.g., including heart rate data, exterior vehicle noise level data, accelerometer data) and traffic data associated with route segments of each of the routes may be analyzed to identify indications of calmness associated with each route segment. Current traffic data associated with the route segments may be analyzed to assign a traffic score representing a level of congestion along the segment and corresponding to a level of insurance risk associated with traversing the segment. Based at least in part upon the indications of calmness and the traffic score associated with each route segment, a route may be selected and presented to the user.

    SYSTEMS AND METHODS FOR ITEM MANAGEMENT
    72.
    发明公开

    公开(公告)号:US20240232821A1

    公开(公告)日:2024-07-11

    申请号:US18615930

    申请日:2024-03-25

    Applicant: BlueOwl, LLC

    Abstract: An apparatus including one or more cameras, a deposit region, one or more processors, and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform certain operations. The operations include receiving image data of one or more items inserted into the deposit region by a user, the image data captured by the one or more cameras when the one or more items are in the deposit region. The operations also include classifying the one or more items as one or more types based at least on the image data. The operations additionally include determining a compensation offer based at least on the one or more types of the one or more items. The operations further include presenting the compensation offer to the user. The operations additionally include, when the user accepts the compensation offer, compensating the user according to the compensation offer. The operations further include, when the user declines the compensation offer and chooses to dispose the one or more items, disposing the one or more items. Other embodiments are described.

    Systems and methods for telematics data marketplace

    公开(公告)号:US12033176B2

    公开(公告)日:2024-07-09

    申请号:US17727597

    申请日:2022-04-22

    Applicant: BlueOwl, LLC

    Abstract: A telematics data marketplace (TDM) computing device including a processor in communication with a memory device is provided. The processor may be configured to: (i) receive registration data from a provider, wherein the registration data includes desired user data sets and an associated purchase price, (ii) retrieve, from the memory device, user data associated with a plurality of users, wherein the user data includes at least telematics data, (iii) match the provider to one or more users of the plurality of users based upon the user data associated with the users matching the desired user data sets of the provider, (iv) prompt the matched users to allow the provider access to the user data for the purchase price, (v) transmit the user data of the matched users to the provider, and (vi) provide the matched users with a reward corresponding to the purchase price of the desired user data set.

    SYSTEMS AND METHODS FOR GENERATING VIRTUAL EXPERIENCES FOR A VIRTUAL GAME

    公开(公告)号:US20240181347A1

    公开(公告)日:2024-06-06

    申请号:US18439343

    申请日:2024-02-12

    Applicant: BlueOwl, LLC

    CPC classification number: A63F13/58 A63F13/65 A63F13/803 G09B9/052

    Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: determining a first real-world user based at least in part upon first real-world telematics data associated with the first real-world user; generating one or more first virtual experiences based at least in part upon one or more first real-world driving behaviors; generating a first virtual character; and presenting the one or more first virtual experiences in a virtual game to the first real-world user, wherein the one or more first virtual experiences include one or more first virtual obstacles to be encountered by the first virtual character in the virtual game based at least in part upon the one or more first real-world driving behaviors. Other embodiments are described.

    Systems and methods for generating dynamic transit routes

    公开(公告)号:US11982537B2

    公开(公告)日:2024-05-14

    申请号:US16809252

    申请日:2020-03-04

    Applicant: BlueOwl, LLC

    CPC classification number: G01C21/3484 G01C21/3415 G06N5/02 G06N5/04 G05D1/0088

    Abstract: The present embodiments may relate to generating dynamic transit routes based at least in part upon telematics data of users. For instance, a transit analysis (TA) computing device may be configured to: (1) receive telematics data from the plurality of user mobile devices, each user mobile device of the plurality of user mobile devices corresponding to one user identifier of a plurality of user identifiers; (2) build, for each user identifier of the plurality of user identifiers, a transit model; (3) generate, for each user identifier of the plurality of user identifiers, based at least in part upon the transit model associated with the user identifier, one or more transit predictions; and/or (4) generate, based at least in part upon the one or more transit predictions, for each user identifier of the plurality of user identifiers, a dynamic transit route.

    SYSTEMS AND METHODS FOR GENERATING A CREDIT SCORE BASED AT LEAST IN PART UPON TELEMATICS DATA

    公开(公告)号:US20240119522A1

    公开(公告)日:2024-04-11

    申请号:US18542716

    申请日:2023-12-17

    Applicant: BlueOwl, LLC

    Abstract: A credit score prediction (CSP) computing device comprising at least one processor in communication with a memory device. The at least one processor can be configured to receive current user data and current vehicle telematics data associated with a first user. The at least one processor further can be configured to apply a model, as trained, to the current user data and the current vehicle telematics data to predict a credit score associated with the first user. The model can be trained using a training dataset. The at least one processor also can be configured to determine a probability of error associated with the credit score, as predicted, based upon a number of records in the current vehicle telematics data. The probability of error can be lower when the number of records in the current vehicle telematics data is higher. The at least one processor additionally can be configured to update the model, as trained, based at least in part upon the credit score, as predicted, the current user data, and the current vehicle telematics data. Other embodiments are disclosed.

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