Patent ID: 11868444
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The computer-implemented method of claim 1, wherein training the AI computer vision deep learning model using a synthetic visual inspection data set to identify the anchor object in the three-dimensional representation further comprises:
receiving, by the one or more processors, an input;
overlaying, by the one or more processors, the one or more associated 3D models of the target objects on the scene;
permuting, by the one or more processors, the one or more associated 3D models of the target objects randomly based on one or more function inputs received from the user;
enabling, by the one or more processors, the user to resize the one or more associated 3D models of the target objects;
enabling, by the one or more processors, the user to rotate the one or more associated 3D models of the target objects;
enabling, by the one or more processors, the user to adjust one or more types of lighting illuminating the one or more associated 3D models of the target objects;
capturing, by the one or more processors, one or more augmentation images of the one or more associated 3D models of the target objects superimposed on the scene; and
comparing, by the one or more processors, the one or more augmentation images to previously captured augmentation images stored in the database.