Abstract: Various examples are provided related to face identification of material. An image can be captured by a vision system and feature parameters determined and compared to a material feature database to determine which face of the material is being presented. The vision system can employ a set of parameters for configuration to acquire the image. The system can communicate the identification to downstream processes in real time. A near-universal, color agnostic, angular orientation independent identification of material faces can be determined without the need for physical manipulation of the material.

Abstract: Various examples are provided related to face identification of material. An image can be captured by a vision system and feature parameters determined and compared to a material feature database to determine which face of the material is being presented. The vision system can employ a set of parameters for configuration to acquire the image. The system can communicate the identification to downstream processes in real time. A near-universal, color agnostic, angular orientation independent identification of material faces can be determined without the need for physical manipulation of the material.

Abstract: Various examples are provided related to face identification of material. An image can be captured by a vision system and feature parameters determined and compared to a material feature database to determine which face of the material is being presented. The vision system can employ a set of parameters for configuration to acquire the image. The system can communicate the identification to downstream processes in real time. A near-universal, color agnostic, angular orientation independent identification of material faces can be determined without the need for physical manipulation of the material.

Abstract: Due to rapid advancement in computing technology of both hardware and software, the labor intensive sewing process has been transformed into a technology-intensive automated process. During an automated process, product materials may become wrinkled or folded, which can slow down the automated process or result in human intervention. Various examples are provided related to the automation of sewing robots, and removal of wrinkles from products. Images of material on a work table can be captured and analyzed to determine if there are wrinkles or folds in the product. The robot can remove the wrinkle or fold by manipulating the material through the use of end effectors such as, e.g., budgers.

Abstract: Due to rapid advancement in computing technology of both hardware and software, the labor intensive sewing process has been transformed into a technology-intensive automated process. During an automated process, product materials may become wrinkled or folded, which can slow down the automated process or result in human intervention. Various examples are provided related to the automation of sewing robots, and removal of wrinkles from products. Images of material on a work table can be captured and analyzed to determine if there are wrinkles or folds in the product. The robot can remove the wrinkle or fold by manipulating the material through the use of end effectors such as, e.g., budgers.

Abstract: Due to rapid advancement in computing technology of both hardware and software, the labor intensive sewing process has been transformed into a technology-intensive automated process. During an automated process, product materials may become wrinkled or folded, which can slow down the automated process or result in human intervention. Various examples are provided related to the automation of sewing robots, and removal of wrinkles from products. Images of material on a work table can be captured and analyzed to determine if there are wrinkles or folds in the product. The robot can remove the wrinkle or fold by manipulating the material through the use of end effectors such as, e.g., budgers.

Abstract: Systems, methods, and computer-readable storage media relate to generate an image series that includes a patient image and a medical image. The patient image and the medical image may be associated based on identification information.