IMAGE ANALYSIS NEURAL NETWORK SYSTEMS
    11.
    发明申请

    公开(公告)号:US20180253866A1

    公开(公告)日:2018-09-06

    申请号:US15495313

    申请日:2017-04-24

    Abstract: A method includes determining object class probabilities of pixels in a first input image by examining the first input image in a forward propagation direction through layers of artificial neurons of an artificial neural network. The object class probabilities indicate likelihoods that the pixels represent different types of objects in the first input image. The method also includes selecting, for each of two or more of the pixels, an object class represented by the pixel by comparing the object class probabilities of the pixels with each other, determining an error associated with the object class that is selected for each pixel of the two or more pixels, determining one or more image perturbations by back-propagating the errors associated with the object classes selected for the pixels of the first input image through the layers of the neural network without modifying the neural network, and modifying a second input image by applying the one or more image perturbations to one or more of the first input image or the second input image prior to providing the second input image to the neural network for examination by the neurons in the neural network for automated object recognition in the second input image.

    METHODS AND SYSTEMS FOR NETWORK-BASED DETECTION OF COMPONENT WEAR

    公开(公告)号:US20170090458A1

    公开(公告)日:2017-03-30

    申请号:US14868856

    申请日:2015-09-29

    CPC classification number: G05B23/0232 G05B19/406 G05B19/4065 G05B2219/50276

    Abstract: A monitoring system for monitoring a plurality of components is provided. The monitoring system includes a plurality of client systems. The plurality of client systems is configured to generate a plurality of component status reports. The plurality of component status reports is associated with the plurality of components. The monitoring system also includes a component wear monitoring (CWM) computer device configured to receive the plurality of component status reports from the plurality of client systems, generate component status information based on a plurality of component status reports, aggregate the component status information to identify a plurality of images associated with a first component, and compare the plurality of images associated with the first component. The plurality of images represents the first component at different points in time. The CWM computer device is also configured to determine a state of the first component based on the comparison.

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