SYSTEM AND METHOD FOR PERFORMING TREE-BASED MULTIMODAL REGRESSION

    公开(公告)号:US20220092473A1

    公开(公告)日:2022-03-24

    申请号:US17127778

    申请日:2020-12-18

    Inventor: Janghwan Lee

    Abstract: A system and method for making predictions relating to products manufactured via a manufacturing process are disclosed. A processor receives input data and makes a first prediction based on the input data. The processor identifies a first machine learning model from a plurality of machine learning models based on the first prediction. The processor further makes a second prediction based on the input data and the first machine learning model, and transmits a signal to adjust the manufacturing of the products based on the second prediction.

    System and method for line Mura detection with preprocessing

    公开(公告)号:US10755133B2

    公开(公告)日:2020-08-25

    申请号:US15956667

    申请日:2018-04-18

    Inventor: Janghwan Lee

    Abstract: A system and method for identifying line Mura defects on a display. The system is configured to generate a filtered image by preprocessing an input image of a display using at least one filter. The system then identifies line Mura candidates by converting the filtered image to a binary image, counting line components along a slope in the binary image, and marking a potential candidate location when the line components along the slope exceed a line threshold. Image patches are then generated with the candidate locations at the center of each image patch. The image patches are then classified using a machine learning classifier.

    SYSTEM AND METHOD FOR GENERATING MACHINE LEARNING MODEL WITH TRACE DATA

    公开(公告)号:US20200249651A1

    公开(公告)日:2020-08-06

    申请号:US16403381

    申请日:2019-05-03

    Inventor: Janghwan Lee

    Abstract: A method for detecting a fault includes: receiving a plurality of time-series sensor data obtained in one or more manufacturing processes of an electronic device; arranging the plurality of time-series sensor data in a two-dimensional (2D) data array; providing the 2D data array to a convolutional neural network model; identifying a pattern in the 2D data array that correlates to a fault condition using the convolutional neural network model; providing a fault indicator of the fault condition in the one or more manufacturing processes of the electronic device; and determining that the electronic device includes a fault based on the fault indicator. The 2D data array has a dimension of an input data to the convolutional neural network model.

    SYSTEM AND METHOD FOR MURA DETECTION ON A DISPLAY

    公开(公告)号:US20190191150A1

    公开(公告)日:2019-06-20

    申请号:US15909893

    申请日:2018-03-01

    Abstract: A system and method for white spot Mura defects on a display. The system is configured to pre-process an input images to generate a plurality of image patches. A feature vector is then extracted for each of the plurality of image patches. The feature vector includes at least one image moment feature and at least one texture feature. A machine learning classifier then determines the presence of a defect in each patch using the feature vector.

    INDEPENDENT MULTI-SOURCE DISPLAY DEVICE
    47.
    发明申请

    公开(公告)号:US20170091896A1

    公开(公告)日:2017-03-30

    申请号:US15145761

    申请日:2016-05-03

    Abstract: An independent multi-source display device including: a multi-input receiver configured to concurrently receive a plurality of input data from input sources external to the independent multi-source display device, each of the input data having a display element structure indicating a data format, a depth order, a size, a position, and a content, the multi-input receiver including: formatters, each being configured to convert an input data having a data format associated with the formatter to uncompressed data; and a data classifier configured to identify a data format associated with each of the input data based on a respective display element structure of each of the input data; a compositor coupled to the formatters and configured to composite the uncompressed data into composite frames based on the display element structure associated with each of the received uncompressed data; and a display panel configured to display the composite frames.

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