AUGMENTED REALITY OBJECT MOVEMENT ASSISTANT

    公开(公告)号:US20220198754A1

    公开(公告)日:2022-06-23

    申请号:US17130147

    申请日:2020-12-22

    Applicant: KYNDRYL, INC.

    Abstract: A processor may receive physical parameter data associated with a physical parameter of an object. The processor may receive pathway data associated with one or more potential pathways for transporting the object from an origin point to a destination point. The processor may determine a recommended pathway, the recommended pathway may have one or more path segments for transportation of the object from the origin point to the destination point. The processor may determine a first recommended orientation and a first recommended movement for transportation of the object through a first path segment of the recommended path. The processor may provide, to a user, a virtual rendering of the first recommended orientation and the first recommended movement of the object through the first path segment of the recommended path.

    PHYSICAL AND VIRTUAL ENVIRONMENT SYNCHRONIZATION

    公开(公告)号:US20240303943A1

    公开(公告)日:2024-09-12

    申请号:US18663743

    申请日:2024-05-14

    Applicant: Kyndryl, Inc.

    CPC classification number: G06T19/006 G06V20/20 H04W4/38

    Abstract: Systems and methods synchronize content of a virtual environment with a state of a physical environment. In aspects, a method includes obtaining sensor data from a network of remote sensors measuring a physical state of a location at a time; generating context specific parameter data based on the sensor data; obtaining context data from a remote virtual reality (VR) system, wherein the context data reflects a current state of virtual content in a virtual environment displayed by the remote VR system; selecting virtual content to be displayed in the virtual environment by the remote VR system based on the context specific parameter data, the context data, and rules; and sending the virtual content to the remote VR system to be displayed to a user, wherein the virtual content reflects a state of the physical location at the time.

    SCROLLABLE REAL-TIME PRESENTATION DOCUMENT TWIN

    公开(公告)号:US20230273720A1

    公开(公告)日:2023-08-31

    申请号:US17682260

    申请日:2022-02-28

    Applicant: Kyndryl, Inc.

    CPC classification number: G06F3/0485 H04L65/403 H04L65/1096

    Abstract: A method includes: hosting, by a computing device, a videoconference among plural users; receiving, by the computing device, input from a sharing user of the plural users, wherein the input initiates a screenshare in the videoconference; creating, by the computing device, document twins of a document shown in the screenshare; and providing, by the computing device and to other users of the plural users, access to respective ones of the document twins in an interface of the videoconference; wherein each of the other users may scroll within a respective one of the document twins independently of other ones of the other users and independently of the screenshare.

    Data exhaust logging
    26.
    发明授权

    公开(公告)号:US11630867B2

    公开(公告)日:2023-04-18

    申请号:US17461041

    申请日:2021-08-30

    Applicant: KYNDRYL, INC.

    Abstract: A machine learning model repeatedly scans data exhaust for workstations (for which there are retention requirements regarding data exhaust) over a period of time. The machine learning model analyzes the respective data exhaust and the retention requirements to determine respective data exhaust logging parameters for each workstation. The machine learning model monitors respective data exhaust activity for each workstation over a subsequent period of time. An instance is identified in which logging activity of data exhaust for an identified workstation fails the retention requirements. An ameliorative action designed to satisfy the respective retention requirements for the identified workstation is executed.

    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.

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