US Patent 12125190 Conformance testing of manufactured parts via neural networks

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.