Patent ID: 11868442
Assignee: DELL PRODUCTS L.P.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A method for classifying damage to a board, comprising:
receiving, by a Convolutional Neural Network (CNN) sub-engine included in a board damage classification engine, a board digital image of a board;
analyzing, by the CNN sub-engine, the board digital image to identify board features; and
determining, by the CNN sub-engine, a board feature damage classification for at least one of the board features identified in the board digital image;
receiving, by a Graph Convolutional Network (GCN) sub-engine included in the board damage classification engine, a board feature graph that was generated using the board digital image and that includes a plurality of nodes that correspond to the board features in the board digital image;
defining, by the GCN sub-engine, at least one relationship between the plurality of nodes included in the board feature graph,
utilizing, by the board damage classification engine, the board feature damage classification determined by the CNN sub-engine and the at least one relationship defined by the GCN sub-engine to generate a board damage classification that includes a damage probability for at least one of the board features in the board digital image; and
providing, by the board damage classification engine, the board damage classification for display.