Free flow fever screening
    1.
    发明授权

    公开(公告)号:US12201403B2

    公开(公告)日:2025-01-21

    申请号:US17325613

    申请日:2021-05-20

    Abstract: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.

    ADAPTIVE PERCEPTUAL QUALITY BASED CAMERA TUNING USING REINFORCEMENT LEARNING

    公开(公告)号:US20240089592A1

    公开(公告)日:2024-03-14

    申请号:US18466296

    申请日:2023-09-13

    CPC classification number: H04N23/64 H04N23/61

    Abstract: Systems and methods are provided for dynamically tuning camera parameters in a video analytics system to optimize analytics accuracy. A camera captures a current scene, and optimal camera parameter settings are learned and identified for the current scene using a Reinforcement Learning (RL) engine. The learning includes defining a state within the RL engine as a tuple of two vectors: a first representing current camera parameter values and a second representing measured values of frames of the current scene. Quality of frames is estimated using a quality estimator, and camera parameters are adjusted based on the quality estimator and the RL engine for optimization. Effectiveness of tuning is determined using perceptual Image Quality Assessment (IQA) to quantify a quality measure. Camera parameters are adaptively tuned in real-time based on learned optimal camera parameter settings, state, quality measure, and set of actions, to optimize the analytics accuracy for video analytics tasks.

    APPLICATION-CENTRIC DESIGN FOR 5G AND EDGE COMPUTING APPLICATIONS

    公开(公告)号:US20220374259A1

    公开(公告)日:2022-11-24

    申请号:US17730499

    申请日:2022-04-27

    Abstract: A method for specifying and executing an application including multiple microservices on 5G slices within a multi-tiered 5G infrastructure is presented. The method includes managing compute requirements and network requirements of the application simultaneously by determining end-to-end application characteristics by employing an application slice specification including an application ID component, an application name component, an application metadata component, a function dependencies component, a function instances component, and an instance connections component, specifying a function slice specification including a function network slice specification and a function compute slice specification, and employing a runtime component including a resource manager, an application slice controller, and an application slice monitor, wherein the resource manager maintains a database and manages starting, stopping, updating, and deleting application instances.

    FREE FLOW FEVER SCREENING
    5.
    发明申请

    公开(公告)号:US20210378520A1

    公开(公告)日:2021-12-09

    申请号:US17325613

    申请日:2021-05-20

    Abstract: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.

    AUTOMATIC PROFILING OF VIDEO ANALYTICS APPLICATIONS

    公开(公告)号:US20200296452A1

    公开(公告)日:2020-09-17

    申请号:US16815453

    申请日:2020-03-11

    Abstract: Methods and systems for deploying a video analytics system include determining one or more applications for a security system in an environment, including one or more constraints. Each functional module in a directed graph representation of one or more applications is profiled to generate one or more configurations for each functional module. The nodes of each graph representation represent functional modules of the respective application, and repeated module configurations are skipped. Resource usage for each of the one or more applications is estimated using the one or more configurations of each functional module and the one or more constraints. The one or more applications are deployed in the environment.

    Method for simultaneous scheduling of processes and offloading computation on many-core coprocessors
    7.
    发明授权
    Method for simultaneous scheduling of processes and offloading computation on many-core coprocessors 有权
    多核协同处理器同步进程调度和卸载计算方法

    公开(公告)号:US09152467B2

    公开(公告)日:2015-10-06

    申请号:US13858039

    申请日:2013-04-06

    CPC classification number: G06F9/5044 G06F9/5033 G06F2209/509

    Abstract: A method is disclosed to manage a multi-processor system with one or more manycore devices, by managing real-time bag-of-tasks applications for a cluster, wherein each task runs on a single server node, and uses the offload programming model, and wherein each task has a deadline and three specific resource requirements: total processing time, a certain number of manycore devices and peak memory on each device; when a new task arrives, querying each node scheduler to determine which node can best accept the task and each node scheduler responds with an estimated completion time and a confidence level, wherein the node schedulers use an urgency-based heuristic to schedule each task and its offloads; responding to an accept/reject query phase, wherein the cluster scheduler send the task requirements to each node and queries if the node can accept the task with an estimated completion time and confidence level; and scheduling tasks and offloads using a aging and urgency-based heuristic, wherein the aging guarantees fairness, and the urgency prioritizes tasks and offloads so that maximal deadlines are met.

    Abstract translation: 公开了一种通过管理用于集群的实时任务应用程序来管理具有一个或多个管理器设备的多处理器系统的方法,其中每个任务在单个服务器节点上运行,并且使用卸载编程模型, 并且其中每个任务具有最后期限和三个特定的资源要求:总处理时间,一定数量的管理设备和每个设备上的峰值存储器; 当新任务到达时,查询每个节点调度器以确定哪个节点可以最好地接受任务,并且每个节点调度器以估计的完成时间和置信水平进行响应,其中节点调度器使用基于紧急度的启发式来安排每个任务及其 卸货 响应于接受/拒绝查询阶段,其中所述群集调度器向每个节点发送所述任务需求,并且查询所述节点是否可以接收具有估计完成时间和置信水平的所述任务; 并使用基于老化和紧急性的启发式调度任务和卸载,其中老化保证公平性,并且紧急性优先考虑任务和卸载,以便满足最大期限。

    SIMULTANEOUS SCHEDULING OF PROCESSES AND OFFLOADING COMPUTATION ON MANY-CORE COPROCESSORS
    8.
    发明申请
    SIMULTANEOUS SCHEDULING OF PROCESSES AND OFFLOADING COMPUTATION ON MANY-CORE COPROCESSORS 有权
    多个并发处理器的同步调度和卸载计算

    公开(公告)号:US20140237477A1

    公开(公告)日:2014-08-21

    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。

    Flexible and efficient communication in microservices-based stream analytics pipeline

    公开(公告)号:US12047467B2

    公开(公告)日:2024-07-23

    申请号:US18321880

    申请日:2023-05-23

    CPC classification number: H04L67/55 H04L67/563

    Abstract: A pull-based communication method for microservices-based real-time streaming video analytics pipelines is provided. The method includes receiving a plurality of frames from a plurality of cameras, each camera including a camera sidecar, arranging a plurality of detectors in layers such that a first detector layer includes detectors with detector sidecars and detector business logic, and the second detector layer includes detectors with only sidecars, arranging a plurality of extractors in layers such that a first extractor layer includes extractors with extractor sidecars and extractor business logic, and the second extractor layer includes extractors with only sidecars, and enabling a mesh controller, during registration, to selectively assign inputs to one or more of the detector sidecars of the first detector layer and one or more of the extractor sidecars of the first extractor layer to pull data items for processing.

    DYNAMIC RESOURCE MANAGEMENT FOR STREAM ANALYTICS

    公开(公告)号:US20240118938A1

    公开(公告)日:2024-04-11

    申请号:US18474658

    申请日:2023-09-26

    CPC classification number: G06F9/5055

    Abstract: A computer implemented method is provided for resource management of stream analytics at each individual node that includes computing a mean of output processing rate of microservices in a pipeline; and evaluating a state of each microservice of the microservices in the pipeline. The computer implemented method also includes selecting a single microservice from the pipeline for updating resources for an action that changes the state in single the microservice that is selected; and performing resource allocation update for the selected microservice. The computer implemented method may also include updating the state of the selected microservice.

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