Abstract: According to an aspect, a method comprises: generating a 2D projection from a 3D representation of an object, generating, based on the 2D projection, a simulated image of the object, wherein the simulated image appears as though the object has been scanned by a detection device, combining the simulated object with a background image to form a synthesized image, wherein the background image was captured by a detection device, and outputting the synthesized image.

Abstract: According to an aspect, a system comprises at least one processor, a memory, and a non-transitory computer-readable storage medium storing instructions. The stored instructions are executable to cause the at least one processor to: receive a digital image that represents an object scanned by a security scanning device, receive, from a neural network, information indicating an item identified within the image, receive, from a database, item data for the identified item, and generate, for output at a display, a graphical representation corresponding to the identified item based on the received item data, wherein the graphical representation indicates a location of the identified item by a neural network, and wherein the generated graphical representation comprises at least a portion of the digital image corresponding to the identified item, and output, for display, the graphical representation.

Abstract: According to an aspect, a system comprises at least one processor, a memory, and a non-transitory computer-readable storage medium storing instructions. The stored instructions are executable to cause the at least one processor to: receive a digital image that represents an object scanned by a detection device, determine a region of the digital image that is likely to contain an item, transform the region of the digital image to an embedding, classify, based on the embedding, the region as containing a known class of known item, and responsive to classifying the region as containing the known class of item: generate a graphical representation based on the known class of item.