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.

    RULE-BASED EDGE CLOUD OPTIMIZATION FOR REAL-TIME VIDEO ANALYTICS

    公开(公告)号:US20240403137A1

    公开(公告)日:2024-12-05

    申请号:US18678121

    申请日:2024-05-30

    Abstract: Systems and methods are provided for dynamically optimizing microservice placement in a distributed edge and cloud computing environment, including receiving application specifications that include telemetry data collection methods, placement rules, and modes of operation, validating the received application specifications to ensure completeness and correctness, and composing an application graph where vertices represent microservices and edges represent connections between the microservices. Availability of resources specified in the application graph is checked, and the microservices are deployed according to initial placement rules. Telemetry data from the deployed microservices and underlying infrastructure is collected and evaluated against the placement rules, and the placement of microservices is dynamically adjusted responsive to a determination that current microservice placement is suboptimal based on the evaluating of the collected telemetry data.

    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.

    FACE CLUSTERING WITH IMAGE UNCERTAINTY

    公开(公告)号:US20220156484A1

    公开(公告)日:2022-05-19

    申请号:US17526492

    申请日:2021-11-15

    Abstract: Methods and systems for face clustering include determining a quality score for each of a set of input images. A first subset of the input images is clustered, having respective quality scores that exceed a predetermined threshold, to form an initial set of clusters. A second subset of the input images is clustered, having respective quality scores below the predetermined threshold. An action is performed responsive to the clustered images after the second subset is added to the initial set of clusters.

    FREE FLOW FEVER SCREENING
    7.
    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.

    DEEP LEARNING TATTOO MATCH SYSTEM BASED

    公开(公告)号:US20210279471A1

    公开(公告)日:2021-09-09

    申请号:US17188194

    申请日:2021-03-01

    Abstract: A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detector, selecting one or more images of the plurality of images including tattoos, extracting, via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.

    Method for simultaneous scheduling of processes and offloading computation on many-core coprocessors
    9.
    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。

    CAPTURING SNAPSHOTS OF OFFLOAD APPLICATIONS ON MANY-CORE COPROCESSORS
    10.
    发明申请
    CAPTURING SNAPSHOTS OF OFFLOAD APPLICATIONS ON MANY-CORE COPROCESSORS 审中-公开
    捕获多个核心协处理器的卸载应用程序

    公开(公告)号:US20150212892A1

    公开(公告)日:2015-07-30

    申请号:US14572153

    申请日:2014-12-16

    Abstract: Methods are provided. A method includes capturing a snapshot of an offload process being executed by one or more many-core processors. The offload process is in signal communication with a host process being executed by a host processor. At least the offload is in signal communication with a monitoring process. The method further includes terminating the offload process on the one or more many-core processors, by the monitor process responsive to a communication between the monitor process and the offload processing being disrupted. The snapshot includes a respective predetermined minimum set of information required to restore a same state of the process as when the snapshot was taken.

    Abstract translation: 提供方法。 一种方法包括捕获由一个或多个多核处理器执行的卸载过程的快照。 卸载过程与由主机处理器执行的主机进程进行信号通信。 至少卸载与监视过程进行信号通信。 该方法还包括通过响应于监视进程和卸载处理中断之间的通信的监视进程来终止一个或多个多核处理器上的卸载处理。 快照包括恢复与拍摄快照时相同的处理状态所需的相应的预定最小信息集合。

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