VIDEO ANALYTICS ACCURACY USING TRANSFER LEARNING

    公开(公告)号:US20240037778A1

    公开(公告)日:2024-02-01

    申请号:US18361340

    申请日:2023-07-28

    Abstract: Systems and methods are provided for increasing accuracy of video analytics tasks in real-time by acquiring a video using video cameras, and identifying fluctuations in the accuracy of video analytics applications across consecutive frames of the video. The identified fluctuations are quantified based on an average relative difference of true-positive detection counts across consecutive frames. Fluctuations in accuracy are reduced by applying transfer learning to a deep learning model initially trained using images, and retraining the deep learning model using video frames. A quality of object detections is determined based on an amount of track-ids assigned by a tracker across different video frames. Optimization of the reduction of fluctuations includes iteratively repeating the identifying, the quantifying, the reducing, and the determining the quality of object detections until a threshold is reached. Model predictions for each frame in the video are generated using the retrained deep learning model.

    Dynamic microservice intercommunication configuration

    公开(公告)号:US11785065B2

    公开(公告)日:2023-10-10

    申请号:US17720776

    申请日:2022-04-14

    CPC classification number: H04L65/60

    Abstract: Methods and systems for managing communications include identifying a system condition in a distributed computing system comprising a first microservice in communication with a second microservice. A communications method is identified responsive to the identified system condition using a reinforcement learning model that associates communication methods with system conditions. The identified communications method is implemented for communications between the first microservice and the second microservice, such that the first microservice and the second microservice use the identified communications method to transmit data.

    Dynamic self-optimization of application quality-of-service requests to mobile networks

    公开(公告)号:US11784945B2

    公开(公告)日:2023-10-10

    申请号:US17958820

    申请日:2022-10-03

    CPC classification number: H04L47/83 H04L41/5019 H04L43/0894 H04W28/0268

    Abstract: Systems and methods for network bandwidth optimization, including transmitting sensor data from one or more sensors over a wireless network into a generated network slice, submitting a Quality-of-Service (QoS) request for one or more applications by specifying desired network slice characteristics, and predicting network bandwidth needed for granting the QoS request for the one or more applications using a cost function based on magnitude, direction, and frequency of error. Time-varying network bandwidth usage is continuously monitored, and new QoS requests for the one or more applications are periodically requested based on the monitoring. An updated prediction for updated bandwidth needed for the new QoS request is generated using the cost function, and network bandwidth reservations are iteratively adjusted based on the updated prediction for the new QoS request to provide an amount of network resources to the one or more applications to support the new QoS request.

    RESOURCE ORCHESTRATION FOR MICROSERVICES-BASED 5G APPLICATIONS

    公开(公告)号:US20230035024A1

    公开(公告)日:2023-02-02

    申请号:US17863685

    申请日:2022-07-13

    Abstract: A method for performing resource orchestration for microservices-based 5G applications in a dynamic, heterogenous, multi-tiered compute and network environment is presented. The method includes managing compute requirements and network requirements of a microservices-based application jointly by positioning computing nodes distributed across multiple layers, across edges and at a central cloud, identifying and modeling coupling relationships between compute and network resources for a plurality of microservices, when only application-level requirements are provided, to build coupling functions, solving a multi-objective optimization problem to identify how each of the plurality of microservices are deployed in the dynamic, heterogenous, multi-tiered compute and network environment by employing the coupling functions to jointly optimize resource usage of the compute and network resources across different compute and network slices, and deriving optimal joint network and compute resource allocation and function placement decisions.

    COMBINED PERSON DETECTION AND FACE RECOGNITION FOR PHYSICAL ACCESS CONTROL

    公开(公告)号:US20210264137A1

    公开(公告)日:2021-08-26

    申请号:US17178444

    申请日:2021-02-18

    Abstract: Methods and systems for managing access include detecting a person within a region of interest in a video stream. It is determined that a clear image of the person's face is not available within the region of interest. Tracking information of the person is matched to historical face tracking information for the person in a previously captured frame. The person's face from the previously captured video frame is matched to an authentication list, responsive to detecting the person within the region of interest, to determine that the detected person is unauthorized for access. A response to the determination that the detected person is unauthorized for access is performed.

    MANAGING APPLICATIONS FOR SENSORS
    39.
    发明申请

    公开(公告)号:US20210263752A1

    公开(公告)日:2021-08-26

    申请号:US17177998

    申请日:2021-02-17

    Abstract: A method is provided for managing applications for sensors. In one embodiment, the method includes loading a plurality of applications and links for communicating with a plurality of sensors on a platform having an interface for entry of a requested use case; and copying a configuration from a grouping of application instances being applied to a first sensor performing in a function comprising of the requested use case. The method may further include applying the configuration for the grouping of application instances to a second set of sensors to automatically conform the plurality of sensors on the platform to perform the requested use case.

    Simultaneous scheduling of processes and offloading computation on many-core coprocessors
    40.
    发明授权
    Simultaneous scheduling of processes and offloading computation on many-core coprocessors 有权
    同时调度多核协处理器的进程和卸载计算

    公开(公告)号:US09367357B2

    公开(公告)日:2016-06-14

    申请号:US14261090

    申请日:2014-04-24

    CPC classification number: G06F9/5044 G06F9/4881

    Abstract: Methods and systems for scheduling jobs to manycore nodes in a cluster include selecting a job to run according to the job's wait time and the job's expected execution time; sending job requirements to all nodes in a cluster, where each node includes a manycore processor; determining at each node whether said node has sufficient resources to ever satisfy the job requirements and, if no node has sufficient resources, deleting the job; creating a list of nodes that have sufficient free resources at a present time to satisfy the job requirements; and assigning the job to a node, based on a difference between an expected execution time and associated confidence value for each node and a hypothetical fastest execution time and associated hypothetical maximum confidence value.

    Abstract translation: 将作业调度到群集节点的方法和系统包括根据作业的等待时间和作业的预期执行时间来选择要运行的作业; 向群集中的所有节点发送作业需求,其中每个节点包括一个处理器; 在每个节点处确定所述节点是否具有足够的资源以满足工作要求,如果没有节点具有足够的资源,则删除该作业; 创建一个目前有足够空闲资源的节点列表,以满足工作要求; 并且基于每个节点的预期执行时间和相关联的置信度值之间的差异以及假设的最快执行时间和相关联的假设最大置信度值将作业分配给节点。

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