Three-dimensional modeling scanner

    公开(公告)号:US10650584B2

    公开(公告)日:2020-05-12

    申请号:US15942000

    申请日:2018-03-30

    Abstract: A method is disclosed for generating a three-dimensional (3D) model of a target object. The method includes obtaining one or more image capture settings and capturing, using the one or more image capture settings, a plurality of two-dimensional (2D) images each including at least a portion of a coded target and at least a portion of the target object. The method further includes transmitting the plurality of 2D images to a model generation server and generating, by the model generation server based on the plurality of 2D images, the 3D model of the target object and one or more model characteristics of the 3D model.

    THREE-DIMENSIONAL MODELING SCANNER
    2.
    发明申请

    公开(公告)号:US20190304175A1

    公开(公告)日:2019-10-03

    申请号:US15942000

    申请日:2018-03-30

    Abstract: A method is disclosed for generating a three-dimensional (3D) model of a target object. The method includes obtaining one or more image capture settings and capturing, using the one or more image capture settings, a plurality of two-dimensional (2D) images each including at least a portion of a coded target and at least a portion of the target object. The method further includes transmitting the plurality of 2D images to a model generation server and generating, by the model generation server based on the plurality of 2D images, the 3D model of the target object and one or more model characteristics of the 3D model.

    STATUS REPORTING WITH NATURAL LANGUAGE PROCESSING RISK ASSESSMENT

    公开(公告)号:US20190303437A1

    公开(公告)日:2019-10-03

    申请号:US15938811

    申请日:2018-03-28

    Abstract: A method is provided for generating a status report including risk assessment based on Natural Language Processing (NLP). The method includes: receiving a task status that includes a line of text; parsing the line of text to generate a mark-up version of the line of text; calculating a sentence score of the mark-up version of the line of text; calculating an overall score of the task status based on the sentence score; storing the task status including the mark-up version of the line of text and the sentence and overall score; receiving a status report generation request that includes a search criteria; retrieving the task status and the sentence and overall scores associated with the search criteria; calculating a highlighting color of the task status based on the sentence score; and generating the status report including a highlighted task status based on the highlighting color and the task status.

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