Autonomous vehicle management
    11.
    发明授权

    公开(公告)号:US11608074B2

    公开(公告)日:2023-03-21

    申请号:US16176258

    申请日:2018-10-31

    Applicant: Kyndryl, Inc.

    Abstract: A computer-implemented method for controlling a vehicle. The method monitors one or more characteristics of one or more users within the vehicle, and compares the one or more characteristics of the one or more users with one or more corresponding baseline characteristics of the one or more users. The method further determines, based on the comparison, that a difference between the one or more characteristics and the one or more corresponding baseline characteristics of the one or more users exceeds a threshold value, and performs a controlling action associated with the vehicle, wherein the controlling action may be taking a higher level of autonomous control over the vehicle; varying speed and handling of the vehicle; and overriding the one or more characteristics of the one or more users in order to avoid an accident.

    Facilitating client ergonomic support via machine learning

    公开(公告)号:US11580443B2

    公开(公告)日:2023-02-14

    申请号:US16442300

    申请日:2019-06-14

    Applicant: Kyndryl, Inc.

    Abstract: Techniques are described with respect to facilitating client ergonomic support. An associated method includes receiving a plurality of posture datapoints associated with multiple clients and constructing a machine learning knowledge model based upon the plurality of posture datapoints in order to identify a plurality of predefined ergonomic support design elements. The method further includes receiving client-specific posture datapoints associated with a first client and analyzing, via the machine learning knowledge model, the client-specific posture datapoints in view of the plurality of posture datapoints in order to select an initial ergonomic support design element among the plurality of predefined ergonomic support design elements. The method further includes facilitate printing of the initial ergonomic support design element for a seat component associated with the first client. In an embodiment, the method further includes providing at least one ergonomic refinement to the first client based upon ergonomic sensor data.

    Identifying electrical power ports utilizing IoT information and augmented reality

    公开(公告)号:US11573626B2

    公开(公告)日:2023-02-07

    申请号:US16445313

    申请日:2019-06-19

    Applicant: KYNDRYL, INC.

    Abstract: A method for locating an identifying an electrical power port. The method includes one or more computer processors determining that a battery of a first mobile device of a user is less than fully charged. The method further includes identifying one or more Internet-of-Things (IoT)-enabled electrical power ports within a proximity of the first mobile device. The method further includes receiving metadata respectively associated with the one or more IoT-enabled electrical power ports. The method further includes generating one or more augmented reality (AR) elements respectively associated with the one or more IoT-enabled electrical power ports based on the received metadata respectively associated with the one or more IoT-enabled electrical power ports.

    Capturing vehicle fluid change history

    公开(公告)号:US11373463B2

    公开(公告)日:2022-06-28

    申请号:US16573062

    申请日:2019-09-17

    Applicant: KYNDRYL, INC.

    Abstract: Systems and methods for capturing fluid change history in a vehicle are provided. A method includes: detecting, by a computer device, a fill cap is removed from an inlet port of a fluid reservoir or a drain plug is removed from an outlet port of the fluid reservoir; activating, by the computer device and based on the detecting, one of a fill sensor and a drain sensor; obtaining, by the computer device, fluid characteristics data from one of the fill sensor and the drain sensor; determining, by the computer device, at least one fluid parameter based on the fluid characteristics data; and transmitting, by the computer device, the determined at least one fluid parameter to a remote system via a communication network that is external to the vehicle.

    Generating simulated image training data

    公开(公告)号:US11436470B2

    公开(公告)日:2022-09-06

    申请号:US16569719

    申请日:2019-09-13

    Applicant: KYNDRYL, INC.

    Abstract: Generating image training data for training an autonomous photography agent to learn the preferences and photo-taking styles of a given set of human users. The preferences and/or photo-taking styles include, but are not necessarily limited, to: (i) human users of a certain age group (such as toddlers or adults); (ii) profession of the photo-taker (professional photographer rather than a hobbyist); (iii) health status of the photo-taker; and/or (iv) travel status of the photo-taker (such as a tourist in a new city rather than a resident of a given city).

    Method, system, and computer readable program storage device for distribution and deliveries through automatic driver selection based on patterns

    公开(公告)号:US11257026B2

    公开(公告)日:2022-02-22

    申请号:US16250446

    申请日:2019-01-17

    Applicant: Kyndryl, Inc.

    Abstract: A method, system and computer program product related to delivery of packages to online shopping customers. In an embodiment, the invention provides a method comprising identifying a pool of candidate delivery drivers; analyzing driving patterns of the candidate drivers in a geographic area; analyzing activities of specified online shoppers in the geographic area; and sending a message to contact one of the candidate drivers to deliver a package or packages to an online shopper based on a defined matching of the analyzed driving patterns of the candidate drivers with the analyzed activities of the online shoppers. In an embodiment, each of the candidate drivers has an associated mobile communications device; and the analyzing driving patterns of the candidate drivers includes using specified changes in locations of the mobile communication devices associated with the candidate delivery drivers to identify the driving patterns of the candidate drivers.

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