According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a distortion and correction module comprising a processor, a defined geometry for one or more parts, wherein the parts are manufactured with an additive manufacturing machine; discretizing the defined geometry into a mesh including a plurality of nodes; predicting a distortion of a position of each node of the plurality of nodes; determining whether the predicted distortion position exceeds a pre-set tolerance; determining an adjusted pre-distortion position for each node of the plurality of nodes when the predicted distortion position exceeds the pre-set tolerance; predicting a distortion of the adjusted determined pre-distortion position for each node of the plurality of nodes; determining whether the distortion of the determined adjusted pre-distortion position exceeds the pre-set tolerance; and printing the part when one of the predicted distortion position and the predicted adjusted pre-distortion position is below the pre-set tolerance. Numerous other aspects are provided.

A method for designing a part member of a custom-made furniture includes: producing a rectangular parallelepiped part member in a rectangular parallelepiped space; setting a XY coordinate system on six faces of the rectangular parallelepiped space using a corner of a rectangle of each face as an origin and two sides of a rectangle of each face as X axis and Y axis; setting one or more predetermined rules for determining positions of one or more machinings based on lengths p and q from a corner of the rectangle and designating a XY coordinate positions of the one or more machinings as a function of p and q; altering the dimensions of the rectangular parallelepiped space of the part member; calculating the positions of the machinings after the dimensions of the rectangular space are altered in accordance with the predetermined rules; and outputting the machining specification.

Disclosed are systems and method for automatic building material ordering based on determined measurements from a multi-dimensional building model. The multi-dimensional model may be based on a plurality of received images, such as ground-based images of a building. The multi-dimensional model may be scaled, or a scale extracted based on data of the model. The multi-dimensional model may comprise architectural elements, and the scale used to determine measurements of such architectural elements. With the scaled measurements of the architectural elements in the model, product information related to multi-dimensional model may be processed, such as confirming availability of the sizes and quantities associated with the architectural elements. Ordering manufacturer products may based on the processed information.

Systems, methods, and non-transitory computer readable media containing instructions for moving virtual content between virtual planes in three-dimensional space are provided. In one implementation, the wearable extended reality appliance may present a virtual object at a first location on a first virtual plane; intraplanar input signals may be received for causing the virtual object to move to a second location on the first virtual plane, and in response the wearable extended reality appliance may virtually display an intraplanar movement of the virtual object from the first location to the second location; and interplanar input signals may be received for causing the virtual object to move to a third location on a second virtual plane, while the virtual object is in the second location, and in response the wearable extended reality appliance may virtually display an interplanar movement of the virtual object from the second location to the third location.

Example systems and methods for virtual visualization of a three-dimensional (3D) model of an object in a two-dimensional (2D) environment. The method may include superimposing a first 3D model of an object onto the 2D environment, and replacing the first 3D model of the object with a second 3D model of an object. Further, the method may include superimposing a smart 3D model of an object onto the 2D environment. Additionally, the method may include a code or mark to identify images of the 2D environment to which 3D models of objects have been superimposed.

The inventive subject matter is directed to a computing platform configured to execute one or more automated artificial intelligence models, wherein the one or more automated artificial intelligence models includes a neural network model, wherein the one or more automated artificial intelligence models are trained on a plurality of radiographic images from a data layer to detect a plurality of anatomical structures or a plurality of hardware, wherein at least one anatomical structure is a pelvic teardrop and a symphysis pubis joint; detecting at a plurality of anatomical structures in a radiographic image of a subject, wherein the plurality of anatomical structures are detected by the computing platform by the step of classifying the radiographic image with reference to a subject good side radiographic image; and constructing a graphical representation of data, wherein the graphical representation is a subject specific functional pelvis grid; the subject specific functional pelvis grid generated based upon the anatomical structures detected by the computing platform in the radiographic image. Various types of functional grids can be generated based on the situation detected.

Described are techniques for producing a three-dimensional model of a scene from one or more two dimensional images. The techniques include receiving by a computing device one or more two dimensional digital images of a scene, the image including plural pixels, applying the received image data to scene generator/scene understanding engine that produces from the one or more digital images a metadata output that includes depth prediction data for at least some of the plural pixels in the two dimensional image and that produces metadata for a controlling a three-dimensional computer model engine, and outputting the metadata to a three-dimensional computer model engine to produce a three-dimensional digital computer model of the scene depicted in the two dimensional image.

A method for facilitating an environmentally adaptive extended reality display in a physical environment includes virtually displaying content via a wearable extended reality appliance operating in the physical environment, wherein displaying content via the wearable extended reality appliance is associated with at least one adjustable extended reality display parameter. Image data is obtained from the wearable extended reality appliance and a specific environmental change unrelated to the virtually displayed content is detected in the image data. A group of rules associating environmental changes with changes in the at least one adjustable extended reality display parameter is accessed and a specific rule of the group of rules is determined, the specific rule corresponding to the specific environmental change. The specific rule is implemented to adjust the at least one adjustable extended reality display parameter based on the specific environmental change.

The inventive subject matter is directed to a computing platform configured to execute one or more automated artificial intelligence models, wherein the one or more automated artificial intelligence models includes a neural network model, wherein the one or more automated artificial intelligence models are trained on a plurality of radiographic images from a data layer to detect a plurality of anatomical structures or a plurality of hardware, wherein at least one anatomical structure is a pelvic teardrop and a symphysis pubis joint; detecting at a plurality of anatomical structures in a radiographic image of a subject, wherein the plurality of anatomical structures are detected by the computing platform by the step of classifying the radiographic image with reference to a subject good side radiographic image; and constructing a graphical representation of data, wherein the graphical representation is a subject specific functional pelvis grid; the subject specific functional pelvis grid generated based upon the anatomical structures detected by the computing platform in the radiographic image. Various types of functional grids can be generated based on the situation detected.

A method for facilitating an environmentally adaptive extended reality display in a physical environment includes virtually displaying content via a wearable extended reality appliance operating in the physical environment, wherein displaying content via the wearable extended reality appliance is associated with at least one adjustable extended reality display parameter. Image data is obtained from the wearable extended reality appliance and a specific environmental change unrelated to the virtually displayed content is detected in the image data. A group of rules associating environmental changes with changes in the at least one adjustable extended reality display parameter is accessed and a specific rule of the group of rules is determined, the specific rule corresponding to the specific environmental change. The specific rule is implemented to adjust the at least one adjustable extended reality display parameter based on the specific environmental change.