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    • 2. 发明公开
    • IMAGE CAPTURE METHOD AND IMAGE CAPTURE DEVICE
    • EP3879486A1
    • 2021-09-15
    • EP19882722.2
    • 2019-10-25
    • OMRON Corporation
    • NARUSE, Yosuke
    • G06T7/00
    • An image capture method used when inspecting an object using an inspection module including a machine learning model in order to be capable of assisting in optimizing the image capture conditions of the object, said image capture method comprising: illuminating an object having known label data, and capturing images of the object using a plurality of illumination parameters to obtain a plurality of captured images; on the basis of an image data set obtained by associating a captured image with an illumination parameter, generating an estimated image of the object on the assumption that the object is illuminated using the illumination parameter; setting the maximum number of captured images permitted for the object; and performing learning by means of a machine learning model using each integer number of captured images up to and including the maximum number of captured images, optimizing illumination parameters and inspection algorithm parameters on the basis of the result of a comparison between the label data of the object and results of estimation based on the machine learning model, calculating an index representing inspection performance that is expected to be achieved using each integer number of captured images, and presenting each calculated index to a user.
    • 6. 发明公开
    • INSPECTION DEVICE AND METHOD
    • EP3940373A1
    • 2022-01-19
    • EP20772697.7
    • 2020-02-25
    • OMRON Corporation
    • NARUSE, Yosuke
    • G01N21/84G01N21/88G06T7/00
    • This inspection device comprises: an image-capturing unit which obtains an evaluation workpiece image that is captured with a plurality of predetermined illumination light emission patterns in order to obtain an optimized illumination light emission pattern with which the influence of non-defective product variations of a workpiece can be suppressed while defects in a workpiece are emphasized; an image area setting unit which sets a plurality of image areas associated with a plurality of different labels; an optimization calculation unit which generates a first index of which the output value increases as a difference between an image area associated with a non-defective label and an image area associated with a defective label increases, and a second index of which the output value increases as a difference or contrast between the image areas associated with the non-defective label increases, and calculates an illumination light emission pattern for inspection such that the first index becomes larger and the second index becomes smaller; and a determination unit which performs image processing on an inspection workpiece image captured with the illumination light emission pattern for inspection, and determines a pass/fail label of a workpiece to be inspected.