AI-based product surface inspecting apparatus and method

    公开(公告)号:US12087421B2

    公开(公告)日:2024-09-10

    申请号:US18541004

    申请日:2023-12-15

    Abstract: Disclosed are a product surface inspecting apparatus and method which detect a defect on products having different feature using a previously trained artificial neural network. A product surface inspecting apparatus according to an exemplary embodiment includes a sensor unit which photographs a product to generate image data and measures at least one of a color, a saturation, a brightness, a transparency, and a reflectance of the product; and a detection unit which detects a defect on a product by inputting the image data to a convolutional neural network trained to detect a defect on a product surface, the number of convolution layers of the convolutional neural network may be determined based on at least one of the color, the saturation, the brightness, the transparency, and the reflectance of the product.

    Setting up care areas for inspection of a specimen

    公开(公告)号:US11887296B2

    公开(公告)日:2024-01-30

    申请号:US17519011

    申请日:2021-11-04

    Abstract: Methods and systems for setting up care areas (CAs) for inspection of a specimen are provided. One system includes an imaging subsystem configured for generating images of a specimen and a computer subsystem configured for determining a number of defects detected in predefined cells within one or more of the images generated in a repeating patterned area formed on the specimen. The computer subsystem is also configured for comparing the number of the defects detected in each of two or more of the predefined cells to a predetermined threshold and designating any one or more of the two or more of the predefined cells in which the number of the defects is greater than the predetermined threshold as one or more CAs. In addition, the computer subsystem is configured for storing information for the one or more CAs for use in inspection of the specimen.

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