Adaptive processing of spatial imaging data

    公开(公告)号:US10510154B2

    公开(公告)日:2019-12-17

    申请号:US15850246

    申请日:2017-12-21

    Abstract: Machine vision processing includes capturing 3D spatial data representing a field of view and including ranging measurements to various points within the field of view, applying a segmentation algorithm to the 3D spatial data to produce a segmentation assessment indicating a presence of individual objects within the field of view, wherein the segmentation algorithm is based on at least one adjustable parameter, and adjusting a value of the at least one adjustable parameter based on the ranging measurements. The segmentation assessment is based on application of the segmentation algorithm to the 3D spatial data, with different values of the at least one adjustable parameter value corresponding to different values of the ranging measurements of the various points within the field of view.

    METHODS AND APPARATUS TO DYNAMICALLY ADJUST AN ANALYTICS THRESHOLD

    公开(公告)号:US20190095808A1

    公开(公告)日:2019-03-28

    申请号:US15717227

    申请日:2017-09-27

    Abstract: Apparatus and methods to dynamically adjust an analytics threshold are disclosed. An example method includes analyzing a set of probabilities of injury to determine minimum and maximum probability in the set based on a request for an injury risk for a target player; determining possible thresholds to divide the probabilities of injury between the minimum and maximum probability; converting the probabilities of injury into percentages of injury based on at least one of the possible thresholds; distributing the percentages of injury into a plurality of bands based on the possible threshold(s); comparing the percentages of injury in each of the plurality of bands according to a criterion; and when the criterion is satisfied, updating a target threshold to classify the injury risk for the target player based on at least one of the possible thresholds dividing the percentages of injury in the plurality of bands and outputting the injury risk for the target player.

    Determining values of angular gauges

    公开(公告)号:US10168192B2

    公开(公告)日:2019-01-01

    申请号:US14979016

    申请日:2015-12-22

    Abstract: In various embodiments, an angular gauge reporting system (“AGRS”) may determine one or more values from an image of an angular gauge. The AGRS may receive one or more images of the gauge and develop an angular map to determine values indicated by the gauge. The AGRS may identify numbers in the image to generate the angular map. The AGRS may determine a center for the angular gauge. The AGRS may determine numerical values by processing capture images of the angular gauge though angular or linear interpolation of values. By generating the angular map prior to later determination of values, the AGRS may provide for determination of numerical values without requiring repetition of actions which may be computationally complex or resource intensive. Other embodiments may be described and/or claimed.

    APPARATUS AND METHOD FOR CONDITION MONITORING OF MULTIPLE ELECTRICAL SUB-SYSTEMS
    36.
    发明申请
    APPARATUS AND METHOD FOR CONDITION MONITORING OF MULTIPLE ELECTRICAL SUB-SYSTEMS 审中-公开
    多电子系统状态监测的装置和方法

    公开(公告)号:US20160349293A1

    公开(公告)日:2016-12-01

    申请号:US14724325

    申请日:2015-05-28

    Abstract: Described is an apparatus which comprises: one or more sensors for coupling to a power source and for sensing electrical parameters of the power source, wherein the power source is operable to provide power to a system having one or more sub-systems; and a processor to analyze the sensed electrical parameters and to detect and identify one or more events associated with the system and the one or more sub-systems.

    Abstract translation: 描述了一种装置,其包括:用于耦合到电源并用于感测电源的电参数的一个或多个传感器,其中电源可操作以向具有一个或多个子系统的系统提供电力; 以及处理器,用于分析所感测的电参数并且检测和识别与所述系统和所述一个或多个子系统相关联的一个或多个事件。

    Real-time anomaly detection for industrial processes

    公开(公告)号:US12253849B2

    公开(公告)日:2025-03-18

    申请号:US17523559

    申请日:2021-11-10

    Abstract: In one embodiment, a device comprises interface circuitry and processing circuitry. The processing circuitry receives, via the interface circuitry, a video stream captured by a camera during performance of an industrial process, wherein the video stream comprises a sequence of frames; detects, based on analyzing the sequence of frames, a degree of particle scatter that occurs during performance of the industrial process; and determines, based on the degree of particle scatter, that an anomaly occurs during performance of the industrial process.

    Device for a vehicle
    38.
    发明授权

    公开(公告)号:US12135665B2

    公开(公告)日:2024-11-05

    申请号:US17128242

    申请日:2020-12-21

    Abstract: A device for a vehicle may include a first wireline interface configured to receive a first data stream from a first sensor having a first sensor type for perceiving a surrounding of the vehicle, the first data stream including raw sensor data detected by the first sensor; a second wireline interface configured to receive a second data stream from a second sensor having a second sensor type for perceiving the surrounding of the vehicle, the second data stream including raw sensor data detected by the second sensor; one or more processors configured to generate a coded packet including the received first data stream and the received second data stream by employing vector packet coding on the first data stream and the second data stream; and an output wireline interface configured to transmit the generated coded packet to one or more target units of the vehicle.

    MEMORY AND COMPUTE-EFFICIENT UNSUPERVISED ANOMALY DETECTION FOR INTELLIGENT EDGE PROCESSING

    公开(公告)号:US20220365523A1

    公开(公告)日:2022-11-17

    申请号:US17747479

    申请日:2022-05-18

    Abstract: Systems, apparatuses, and methods include technology that identifies a first dataset that comprises a plurality of data values, and partitions the first dataset into a plurality of bins to generate a second dataset, where the second dataset is a compressed version of the first dataset. The technology randomly subsamples data associated with the first dataset to obtain groups of randomly subsampled data, and generates a plurality of decision tree models during an unsupervised learning process based on the groups of randomly subsampled data and the second dataset.

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