Abstract: Some embodiments are directed to a system that includes a processor and memory circuitry (PMC) that is configured to: obtain an image of an item acquired by an acquisition device; perform a first detection using a first software module implementing at least one first deep neural network to detect at least one given area of the image including at least part of a given element of the item enabling concealment of a prohibited object; perform a second detection including using a second software module implementing at least one second neural network to detect whether the given area includes a prohibited object; and perform an action upon detection of a presence of a prohibited object in the image, wherein the detection is based at least on an output of the second detection.

Abstract: In one embodiment there is provided a method for inspecting a container, comprising: classifying an inspection image of the container in a matching class of one or more predetermined classes of containers of interest, each predetermined class comprising reference images associated with a type of containers of interest, wherein the inspection image is generated using transmission of inspection radiation through the container; comparing a shape model of the inspection image to corresponding shape models associated with reference images within the matching class; associating the inspection image with a matching reference image, based on the comparison; registering one or more zones of the inspection image with corresponding one or more zones of the matching reference image; and mapping differences between the inspection image and the matching reference image, based on the registration.

Abstract: In one embodiment there is provided a method for inspecting a container, comprising: classifying an inspection image of the container in a matching class of one or more predetermined classes of containers of interest, each predetermined class comprising reference images associated with a type of containers of interest, wherein the inspection image is generated using transmission of inspection radiation through the container; comparing a shape model of the inspection image to corresponding shape models associated with reference images within the matching class; associating the inspection image with a matching reference image, based on the comparison; registering one or more zones of the inspection image with corresponding one or more zones of the matching reference image; and mapping differences between the inspection image and the matching reference image, based on the registration.