VISUAL INSPECTION TRAINING BOARD FOR ARTIFICIAL INTELLIGENCE DEEP LEARNING

    公开(公告)号:US20240242328A1

    公开(公告)日:2024-07-18

    申请号:US18155245

    申请日:2023-01-17

    IPC分类号: G06T7/00

    摘要: A computing system includes an automatic optical inspection (AOI) and a database that stores images of a plurality of visual inspection (VI) training boards. Each of the visual inspection (VI) training boards includes at least one intended defect. The AOI system includes an artificial intelligence (AI) algorithm implemented in an automatic optical inspection (AOI) system. The AOI system trains the AI algorithm to learn at least one target defect based on the at least one intended defect including in the plurality of VI training boards, analyzes a production printed circuit board (PCB), and determines either a non-defective PCB in response to the AI algorithm determining the production PCB excludes the at least one target defect, or a defective PCB in response to the AI algorithm determining the production PCB includes at least one target defect.

    PHYSICAL VAPOR DEPOSITION WITH A DUAL-SHUTTER

    公开(公告)号:US20200176235A1

    公开(公告)日:2020-06-04

    申请号:US16204168

    申请日:2018-11-29

    IPC分类号: H01J37/34 C23C14/54 C23C14/34

    摘要: Techniques that facilitate physical vapor deposition with a dual-shutter are provided. In one example, a system includes a target plate, a first shutter plate and a second shutter plate. The target plate is associated with a voltage for physical vapor deposition. The first shutter plate comprises a first set of openings. The second shutter plate comprises a second set of openings. The first shutter plate and the second shutter plate are located between the target plate and a substrate. Furthermore, the first shutter and the second shutter rotate.