ROBOT JOINT DEVICE
    41.
    发明申请

    公开(公告)号:US20210197407A1

    公开(公告)日:2021-07-01

    申请号:US16755592

    申请日:2018-10-11

    Abstract: Disclosed is a robot joint device comprising first and second plates positioned in parallel with each other, links each having a first end connected to the first plate and a second end connected to the second plate, connecting members configured to connect the two ends of each of the links and the first and second plates, respectively, so that angles and rotations of the links are adjustable relative to the first and second plates, a rotary shaft having two ends penetrating the first and second plates and rotatably installed, a gear reduction unit installed in the first plate and connected to the first end of the rotary shaft, a pulley connected to the second end of the rotary shaft and configured to transmit driving power to the rotary shaft, and a drive unit configured to transmit the driving power to the pulley.

    Deep learning-based MLCC stacked alignment inspection system and method

    公开(公告)号:US12210061B2

    公开(公告)日:2025-01-28

    申请号:US18276450

    申请日:2022-11-01

    Abstract: A deep learning-based MLCC stacked alignment inspection system includes an integrated defect detection unit configured to detect core areas requiring inspection of image data in which a stacked structure is photographed from a semiconductor MLCC chip by using at least one deep learning-based core area detection model, perform segmentation in the detected core areas, determine whether a defect exists according to a standard margin percentage range, and enable defect detection by generating normal and/or defective data based on the determination result, a result analysis unit configured to perform visualization for respective results of the core area detection, segmentation, and defect detection of the integrated defect detection unit, and provide stepwise analysis data for the visualized respective results so as to determine whether to modify corresponding data, and a data storage configured to store the normal and/or defective data, and stepwise analysis data.

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