Patent 9846427 was granted and assigned to University of North Dakota on December, 2017 by the United States Patent and Trademark Office.
The systems and methods described herein include an approach to performing quality assessment for 3-D printed objects during the printing process, for collecting data regarding 3-D printed objects, and for capturing data to make a digital model of an object. This approach uses sensor data (e.g., digital imagery) to characterize printing progress or to detect 3-D printing defects that would otherwise result in printing incomplete objects, such as premature printing job termination, dry printing, over/under application, movement of the filament, and other defects. Sensor data capturing can also be used as part of a destructive scanning process to perform post-printing object assessment or to collect data on a real-world object to facilitate creation of a digital model. These systems and methods may leverage the discrete nature of a pixel provided through digital imagery to be assessed with limited computational resources in a non-recursive manner.