Abstract: Systems, methods, and apparatus for artificial intelligence-based manufacturing part design are disclosed. A system for designing a part comprises at least one processor configured: to encode the desired part design to generate an encoded desired part design; to identify a group of part designs within a space that is similar to the desired part design by comparing the encoded desired part design to encoded realized part designs, encoded imagined part designs, real metadata, and imagined metadata within the space; to generate an encoded optimal part design by analyzing the group of part designs according to objectives and weightings provided by a user; and to decode the encoded optimal part design to generate an optimal part design. Further, the system comprises a display configured to display, to the user, the optimal part design, which the user may use as a guide to modify the desired part design accordingly.

Abstract: A method and apparatus for detecting a feature on a surface. A mesh comprising a plurality of mesh elements is generated using surface data generated for a surface region. The plurality of normal vectors is computed for the plurality of mesh elements. A distribution for the plurality of normal vectors is generated. A dominant subset of the plurality of mesh elements is identified in which a Z component of a corresponding normal vector for each mesh element of the dominant subset is in substantially a first direction. Z components of a portion of the plurality of normal vectors corresponding to a remaining subset of the plurality of mesh elements are analyzed to determine whether the feature is present within the surface region.

Abstract: Systems, methods, and apparatus for artificial intelligence-based manufacturing part design are disclosed. A system for designing a part comprises at least one processor configured: to encode the desired part design to generate an encoded desired part design; to identify a group of part designs within a space that is similar to the desired part design by comparing the encoded desired part design to encoded realized part designs, encoded imagined part designs, real metadata, and imagined metadata within the space; to generate an encoded optimal part design by analyzing the group of part designs according to objectives and weightings provided by a user; and to decode the encoded optimal part design to generate an optimal part design. Further, the system comprises a display configured to display, to the user, the optimal part design, which the user may use as a guide to modify the desired part design accordingly.

Abstract: A method and apparatus for detecting a feature on a surface. A mesh comprising a plurality of mesh elements is generated using surface data generated for a surface region. The plurality of normal vectors is computed for the plurality of mesh elements. A distribution for the plurality of normal vectors is generated. A dominant subset of the plurality of mesh elements is identified in which a Z component of a corresponding normal vector for each mesh element of the dominant subset is in substantially a first direction. Z components of a portion of the plurality of normal vectors corresponding to a remaining subset of the plurality of mesh elements are analyzed to determine whether the feature is present within the surface region.

Abstract: The present invention is directed towards a translation software that provides remote access to an application program that is executing on a host machine in its native operating system environment. The translation software monitors messages that are relayed from the application program to an application interface that is provided via the native operating system. Upon recognizing a message that affects a graphical user interface of the native operating system, the translation software converts the message into a protocol that is recognized by a remote graphical user interface. By monitoring and converting messages in this fashion, the translation software allows the application program to be displayed remotely.