Abstract: Various embodiments may involve receiving, from a client device, a query including an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, a fabrication source of the manufactured part, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of fabrication sources of the manufactured parts; and in response to determining the fabrication source of the manufactured part, transmitting, to the client device, a response indicating the fabrication source.

Abstract: Various embodiments may involve obtaining an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, an inferred manufacturing machine that fabricated the manufactured part from a plurality of manufacturing machines, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of the manufacturing machines with which the manufactured parts were fabricated; determining that the inferred manufacturing machine does not match a presumed manufacturing machine of the manufactured part; and in response to determining that the inferred manufacturing machine does not match the presumed manufacturing machine, generating an electronic alert indicating that a failure has occurred relating to fabrication of the manufactured part.

Abstract: Various embodiments may involve obtaining an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, that the manufactured part was not fabricated according to a specification for the manufactured part, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of specifications for the manufactured parts; and, in response to determining that the manufactured part was not fabricated according to the specification, generating an electronic alert indicating that the manufactured part was improperly fabricated.

Abstract: Various embodiments may involve obtaining an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, that the manufactured part was not fabricated according to a specification for the manufactured part, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of specifications for the manufactured parts; and, in response to determining that the manufactured part was not fabricated according to the specification, generating an electronic alert indicating that the manufactured part was improperly fabricated.