AUGMENTED-REALITY-INTERFACE CONFLATION IDENTIFICATION

A method for detecting conflation errors in an augmented reality interface is disclosed. In one embodiment, such a method includes receiving an actual screenshot of an augmented reality interface. The method generates, using a generative adversarial network (GAN), a replica screenshot of the augmented reality interface that indicates how the actual screenshot is expected to appear. The replica screenshot is non-identical to the actual screenshot. The method receives the actual screenshot and the replica screenshot into a fractal-based convolutional neural network (CNN) to determine a correlation between the actual screenshot and the replica screenshot. In the event the correlation is below a designated threshold, the method flags the actual screenshot as having a potential conflation error. This conflation error may involve conflating a digital component for a physical component or vice versa. A corresponding system and computer program product are also disclosed.