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    COMPUTER VISION MODEL DRAWING INTERFACE
    52.
    发明公开
    COMPUTER VISION MODEL DRAWING INTERFACE 审中-公开

    公开(公告)号：US20240046634A1

    公开(公告)日：2024-02-08

    申请号：US17817611

    申请日：2022-08-04

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Alexander Berman ,  Bijan SayyarRodsari ,  Wei Dai ,  Kadir Liano

    IPC: G06V10/94 ,  G06V10/774 ,  G06V10/22 ,  G06V10/776 ,  G06V10/75

    CPC classification number: G06V10/945 ,  G06V10/774 ,  G06V10/225 ,  G06V10/776 ,  G06V10/751 ,  G06V10/82

    Abstract: For updating a computer vision model, a method converts a user input drawing including a user annotation of a first image in a drawing format to a training format image in a training format for a computer vision model. The method generates a training-representation drawing from the training format image. The training-representation drawing includes an image inference for the first image. The method receives user feedback for the training-representation drawing in the drawing format. The method updates the computer vision model based on the user feedback. The method generates an image inference for a second image based on the updated computer vision model and generates model-health metrics, agreement-metrics, and a sortable image index to explain image inferences with respect to guided user annotation of the second image. The method caches partial results from the image-inferences to afford quicker updating of computer vision models, affording more iterative model-development than ad-hoc model-evaluation.

    AUTOMATED MONITORING USING IMAGE ANALYSIS
    56.
    发明申请
    AUTOMATED MONITORING USING IMAGE ANALYSIS 有权

    公开(公告)号：US20230092247A1

    公开(公告)日：2023-03-23

    申请号：US17482040

    申请日：2021-09-22

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Bijan SayyarRodsari ,  Wei Dai ,  Alexander N. Berman ,  Kadir Liano

    IPC: G06T7/00 ,  G06K9/62 ,  G06N20/00 ,  G05B19/4155 ,  G05B19/418

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving image data after an operation is performed by an industrial automation device on a product; analyzing the image data based an object-based image analysis (OBIA) model to classify the product as one of a plurality of conditions related to manufacturing quality and the OBIA model includes property layers associated with features related to a manufacturing of the product; determining whether the one of the conditions indicates an anomaly being present in the product; sending a notification indicative of the one of the plurality of conditions is presently associated with the product; identifying a property layer associated with classifying the one of the plurality of conditions; and updating the OBIA model based on the property layer and the input indicative of the anomaly being incorrectly associated with the product.

    AUTOMATED DIAGNOSIS OF AUGMENTED ACOUSTIC MEASUREMENT IN INDUSTRIAL ENVIRONMENTS
    57.
    发明申请
    AUTOMATED DIAGNOSIS OF AUGMENTED ACOUSTIC MEASUREMENT IN INDUSTRIAL ENVIRONMENTS 有权

    公开(公告)号：US20230061688A1

    公开(公告)日：2023-03-02

    申请号：US17463159

    申请日：2021-08-31

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Bijan Sayyarodsari ,  Kadir Liano ,  Wei Dai

    IPC: G05B23/02 ,  G05B19/418

    Abstract: A computer-readable medium may include instructions that may cause a processor to perform operations that may include receiving audio data representative of sound waves generated by industrial devices and extracting features from the audio data. The features may be representative of a portion of the audio data. The operations may also include identifying a subset of the features based on distances between each of the plurality of features in an information space. The information space may include known clusters. The operations may then include determining that the subset of the features corresponds to an unknown cluster in the information space, performing a constrained classification operation based on each feature of the subset of the features to identify a new known cluster for the information space, and modifying operations of the industrial devices based on the new known cluster.

    PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS
    58.
    发明申请
    PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS 有权

    公开(公告)号：US20210318662A1

    公开(公告)日：2021-10-14

    申请号：US17358389

    申请日：2021-06-25

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Bijan Sayyarrodsari ,  Kadir Liano ,  Apurva Prakash Samura ,  Alexander Barton Smith

    IPC: G05B13/04 ,  G05B23/02

    Abstract: System and method for improving operation of an industrial automation system, which includes a control system that controls operation of an industrial automation process. The control system includes a feature extraction block that determines extracted features by transforming process data determined during operation of an industrial automation process based at least in part on feature extraction parameters; a feature selection block that determines selected features by selecting a subset of the extracted features based at least in part on feature selection parameters, in which the selected features are expected to be representative of the operation of the industrial automation process; and a clustering block that determines a first expected operational state of the industrial automation system by mapping the selected features into a feature space based at least in part on feature selection parameters.

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