Abstract: Disclosed is a technique for use in generating and delivering 3-D printed wearables via a biomechanical analysis derived from commonly available hardware, such as a smartphone. Users take videos and/or photos of parts of their body as input into a custom wearable generation application. The body photos are subjected to a precise computer vision (CV) process to determine specific measurements of the user's body and the stresses thereon as their body is put into multiple physical conditions or executes sequences of motion.

Abstract: Disclosed is a technique for use in generating and delivering 3-D printed wearables via the use of body image data where the body is in under multiple physical conditions. Some embodiments include further body part data including videos of sequences of motion, static images, both 2-D and 3-D modeling, and user preference. Users take videos and/or photos of parts of their body as input into a custom wearable generation application. The body photos are subjected to a precise computer vision (CV) process to determine specific measurements of the user's body and the stresses.

Abstract: Disclosed is a user input verification technique for use in generating and delivering 3-D printed wearables. Users take photos of parts of their body as input into a custom wearable generation application. The body photos are subjected to a precise computer vision (CV) process to determine specific measurements of the user's body. To reduce the incidence of poor input data, image data is automatically taken from the camera viewfinder prior to the user issuing an image capture command. The extracted viewfinder data is subjected to an abbreviated CV process in order to determine viability for the precise CV process.

Abstract: Disclosed herein is a technique to efficiently pack a print volume of 3D printers having print jobs with a large number of objects. The technique positions unique objects that adhere to a similar structural pattern more closely when the degree of variation between the objects is small. Thus, while each object is unique, a greater extent of similarity between the objects causes a given group of objects to be positioned more closely to one another in the print area of the 3D printer.

Abstract: Disclosed herein is a technique to efficiently distribute a large number of printable CAD objects to a group of printers having variable settings and/or parameters. Each CAD object includes metadata specifying a particular set of production parameters (e.g., software settings, post-processing steps, production material, and/or physical location). The technique positions objects with the same set of production parameters metadata in similar print cycles subject to object nesting optimization.

Abstract: Disclosed herein is a technique to efficiently pack a print volume of 3D printers having print jobs with a large number of objects. The technique positions unique objects that adhere to a similar structural pattern more closely when the degree of variation between the objects is small. Thus, while each object is unique, a greater extent of similarity between the objects causes a given group of objects to be positioned more closely to one another in the print area of the 3D printer.