AUTOMATED CHANNEL CROSS-SECTION MEASUREMENT FOR MICROFLUIDIC CHANNELS

    公开(公告)号:US20210287408A1

    公开(公告)日:2021-09-16

    申请号:US17189315

    申请日:2021-03-02

    Abstract: Provided are embodiments of a method for performing automatic analysis of cross-sections of micro-channels. Embodiments includes receiving tomography scan data, aligning the tomography scan data, and extracting channels from a slice of the tomography scan data to create an isolated slice of the extracted channel. Embodiments also include determining surface voxels for the extracted channels, and determining an area defined within the surface voxels for each of the extracted channels. Embodiments include determining a contribution of the surface voxels for each of the extracted channels to the cross-section of the extracted channels, and outputting cross-section information based on the contribution of the surface voxels. Also provided are embodiments of a system for performing automatic analysis of cross-sections of micro-channels.

    Automated channel cross-section measurement for microfluidic channels

    公开(公告)号:US11748922B2

    公开(公告)日:2023-09-05

    申请号:US17189315

    申请日:2021-03-02

    CPC classification number: G06T11/005 G06T7/0012

    Abstract: Provided are embodiments of a method for performing automatic analysis of cross-sections of micro-channels. Embodiments includes receiving tomography scan data, aligning the tomography scan data, and extracting channels from a slice of the tomography scan data to create an isolated slice of the extracted channel. Embodiments also include determining surface voxels for the extracted channels, and determining an area defined within the surface voxels for each of the extracted channels. Embodiments include determining a contribution of the surface voxels for each of the extracted channels to the cross-section of the extracted channels, and outputting cross-section information based on the contribution of the surface voxels. Also provided are embodiments of a system for performing automatic analysis of cross-sections of micro-channels.

    WORKSTATION WITH DYNAMIC MACHINE VISION SENSING AND AUGMENTED REALITY

    公开(公告)号:US20230288912A1

    公开(公告)日:2023-09-14

    申请号:US18075560

    申请日:2022-12-06

    CPC classification number: G05B19/4099 B23P19/04 G05B2219/49023

    Abstract: A computer-implemented method includes identifying, by a controller, a part that is being transported to a workstation. The method further includes capturing a 3D scan of the part using a dynamic machine vision sensor. The method further includes validating the part by comparing the 3D scan of the part with a 3D model of the part. The method further includes, based on a determination that the part is valid, projecting a hologram that includes a sequence of assembly steps associated with the part. The method further includes, upon completion of the sequence of assembly steps, capturing a 3D scan of an item that is assembled using the part. The method further includes validating the item by comparing the 3D scan of the item with a 3D model of the item. The method further includes notifying a validity of the item.

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