METHOD AND SYSTEM FOR MULTI-ACCESS EDGE COMPUTING (MEC) SELECTION AND LOAD BALANCING

    公开(公告)号:US20210400568A1

    公开(公告)日:2021-12-23

    申请号:US16907787

    申请日:2020-06-22

    Abstract: A device, method, and system provide for collecting service parameters associated with application sessions associated with a plurality of MEC clusters; obtaining capability information associated with each of the plurality of MEC clusters; generating service profiles for a set of transport networks based on the service parameters and the capability information, wherein each transport network includes at least one of the plurality of MEC clusters; receiving, from a user equipment (UE) device, a request for a MEC service having a minimum service requirement; and selecting, based on the service profiles, a MEC cluster from the plurality of MEC clusters to provide the MEC service, wherein the selected MEC cluster is included in a first transport network that meets the minimum service requirement.

    Method and system for multi-access edge computing (MEC) selection and load balancing

    公开(公告)号:US11330511B2

    公开(公告)日:2022-05-10

    申请号:US16907787

    申请日:2020-06-22

    Abstract: A device, method, and system provide for collecting service parameters associated with application sessions associated with a plurality of MEC clusters; obtaining capability information associated with each of the plurality of MEC clusters; generating service profiles for a set of transport networks based on the service parameters and the capability information, wherein each transport network includes at least one of the plurality of MEC clusters; receiving, from a user equipment (UE) device, a request for a MEC service having a minimum service requirement; and selecting, based on the service profiles, a MEC cluster from the plurality of MEC clusters to provide the MEC service, wherein the selected MEC cluster is included in a first transport network that meets the minimum service requirement.

    Systems and methods for crowdsourced video orchestration

    公开(公告)号:US11284019B1

    公开(公告)日:2022-03-22

    申请号:US17101764

    申请日:2020-11-23

    Abstract: A system described herein may provide a technique for the real-time determination of events, objects, focal points, or the like to be captured by one or more cameras in a multi-camera environment. Such determination may be based on “crowdsourced” data from multiple User Equipment (“UEs”). The crowdsourced data may include positioning and/or pose information associated with UEs. The positioning information for a given UE may include location information, and the pose information may include an azimuth angle, magnetic declination, or other suitable information indicating where a particular physical facet of the UE is facing. For example, the pose information may be used to indicate or infer where a camera of the UE is pointed. One or more actuatable cameras may be displaced, rotated, etc. to capture video at one or more identified crowdsourced focal points.

    SYSTEMS AND METHODS FOR EMOTION PREDICTION
    6.
    发明公开

    公开(公告)号:US20240197219A1

    公开(公告)日:2024-06-20

    申请号:US18081754

    申请日:2022-12-15

    CPC classification number: A61B5/165 G06V40/174

    Abstract: One or more computing devices, systems, and/or methods determining emotion predictions and/or confidence scores are provided. In an example, a first emotion prediction associated with a person is determined based upon one or more neural signals collected via a brain-computer interface (BCI). A second emotion prediction associated with the person is determined based upon a facial expression of the person. An enhanced emotion prediction associated with the person is determined based upon the first emotion prediction and the second emotion prediction. A confidence score of the enhanced emotion prediction is determined based upon the first emotion prediction and the second emotion prediction. One or more actions are performed based upon the enhanced emotion prediction and the confidence score.

    Systems and methods for dynamic multi-access edge allocation using artificial intelligence

    公开(公告)号:US11463554B2

    公开(公告)日:2022-10-04

    申请号:US16718676

    申请日:2019-12-18

    Abstract: Provided are systems and methods that use artificial intelligence and/or machine learning to dynamically allocate services at different times and at different network edge locations within a Multi-Access Edge (“MEC”) enhanced network based on a multitude of factors that change the priorities of the services at the different times and at the different edge locations. For instance, a MEC controller, controlling the allocation of resources at a particular edge location, may modify the allocation of services at that particular edge location at different times based on time and/or location sensitive events that occur at different times and that relate to different services, changing usage patterns that are derived from prior service utilization, and/or categorization of the services as permanent, time insensitive, or other categories of services with permissions to execute at different times from different edge locations.

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