Abstract: System and method for context prediction via application-specific process-to-product causal networks for generating manufacturing insights. A process graph is obtained that comprises a set of data nodes, including operation specific process data nodes and product data nodes. A probabilistic graph model (PGM) is learned for the industrial process based on the process graph and historic process and product data collected for the industrial process in respect of the data nodes The PGM comprises a computed structure and a set of relationship parameters.

Abstract: System and method that includes mapping temperature values from a two dimensional (2D) thermal image of a component to a three dimensional (3D) drawing model of the component to generate a 3D thermal model of the component; mapping temperature values from the 3D thermal model to a 2D virtual thermal image corresponding to a virtual thermal camera perspective; and predicting an attribute for the component by applying a prediction function to the 2D virtual thermal image.

Abstract: System and method that includes mapping temperature values from a two dimensional (2D) thermal image of a component to a three dimensional (3D) drawing model of the component to generate a 3D thermal model of the component; mapping temperature values from the 3D thermal model to a 2D virtual thermal image corresponding to a virtual thermal camera perspective; and predicting an attribute for the component by applying a prediction function to the 2D virtual thermal image.

Abstract: A method or system for industrial process optimization, including sensing data about an industrial process cycle that operates according to a set of process setpoints; determining a target performance for the process cycle based on the sensed data; selecting process set-points from a hypothesis space for a future industrial process cycle based on the target performance, and updating the hypothesis space.

Abstract: A server for configuring an industrial vision control module includes: a memory; a network interface; and a processor interconnected with the memory and the network interface, the processor configured to: receive, via the network interface, image data from a vision system; determine at least one attribute of the image data; store at least one label in association with the at least one attribute; and transmit the at least one attribute and the at least one label to the vision system.

Abstract: A server for configuring an industrial vision control module includes: a memory; a network interface; and a processor interconnected with the memory and the network interface, the processor configured to: receive, via the network interface, image data from a vision system; determine at least one attribute of the image data; store at least one label in association with the at least one attribute; and transmit the at least one attribute and the at least one label to the vision system.