The present specification discloses systems and methods for integrating manifest data for cargo and light vehicles with their X-ray images generated during scanning Manifest data is automatically imported into the system for each shipment, and helps the security personnel to quickly determine the contents of cargo. In case of a mismatch between cargo contents shown by manifest data and the X-ray images, the cargo may be withheld for further inspection. In one embodiment, the process of analyzing the X-ray image of the cargo in conjunction with the manifest data is automated.

A method for assigning one of a safe and threat condition to an object includes determining density and effective atomic number values for a plurality of predetermined safe and threat objects, plotting the values in a probability map to correlate corresponding density and effective atomic number values with each of the safe and threat objects, scanning an object to provide dual-energy attenuation images representing the object, decomposing the attenuation images into dual-reference material equivalent path length images to provide reference material equivalent path lengths representing the object, converting the reference path lengths into object path lengths, determining the effective atomic number for each pixel representing the object, and, imposing the effective atomic number and the mass density of the unknown object onto the probability map to determine a probability that the object is correlated with one of the predetermined safe and threat objects.

There is provided a method for assigning an attribute to x-ray attenuation including the steps of acquiring first and second reference material equivalent path length information associated with a first range of dual-energy x-ray attenuation information, acquiring second and third reference material equivalent path length information associated with a second range of dual-energy x-ray attenuation information, and, joining the first the first dual-energy x-ray attenuation information range with the second dual-energy x-ray attenuation information range using coefficients representing dual-energy x-ray attenuation information of the second reference material to define a third dual-energy x-ray attenuation information range upon which may be imposed dual-energy x-ray attenuation values within the third dual-energy x-ray attenuation information range to determine corresponding first reference material equivalent path lengths and third reference material equivalent path lengths.

There is provided a method for assigning an attribute to x-ray attenuation including scanning in an x-ray scanning device first and second reference materials each having known atomic composition, dimensions and orientation in the scanning device. The device emits x-rays which pass through the first reference material with first reference material path lengths and the second reference material with second reference material path lengths. The x-rays are detected by detectors to provide a plurality of dual-energy attenuation images having dual-energy x-ray attenuation information. The dual-energy x-ray attenuation information in the dual-energy attenuation images is associated with the first and second reference material path lengths. Then, each of the first and second reference material path lengths are expressed collectively as a function of the associated attenuation information to define attenuation surfaces upon which may be imposed dual-energy attenuation values to determine corresponding first and second reference material equivalent path lengths.

A method for assigning attributes to an unknown object includes the steps of scanning the unknown object at least partially overlapping with a background object within an x-ray scanning device to provide dual-energy attenuation images having dual-energy attenuation information representing an overlap region wherein the background object and the unknown object overlap, decomposing the attenuation images into reference material equivalent path length images, removing the background object to provide reference material equivalent path lengths representing the unknown object, converting the reference material equivalent path lengths representing the unknown object into unknown object path lengths multiplied by a predetermined scaling factor, reducing the scaling factor to provide a contour of the unknown object and unknown object path lengths, and, determining a density and effective atomic number of the unknown object.

There is provided a method for assigning an attribute to an unknown object overlapping with a predetermined background object. The unknown object is scanned overlapping with the background object within an x-ray scanning device to obtain a plurality of dual-energy attenuation images having attenuation information representing the background object and an overlap region wherein the background object and the unknown object overlap. The dual-energy attenuation images are decomposed into reference material equivalent path length images. The reference material equivalent path lengths representing the background object in the overlap region are determined and eliminated from the overlap region to provide reference material equivalent path length images having first and second reference material equivalent path lengths through only the unknown object.

The present specification discloses systems and methods for integrating manifest data for cargo and light vehicles with their X-ray images generated during scanning. Manifest data is automatically imported into the system for each shipment, and helps the security personnel to quickly determine the contents of cargo. In case of a mismatch between cargo contents shown by manifest data and the X-ray images, the cargo may be withheld for further inspection. In one embodiment, the process of analyzing the X-ray image of the cargo in conjunction with the manifest data is automated.

The present specification discloses systems and methods for identifying and reporting contents of a tanker, container or vehicle. Programmatic tools are provided to assist an operator in analyzing contents of a tanker, container or vehicle. Manifest data is automatically imported into the system for each shipment, thereby helping security personnel to quickly determine container contents. In case of a mismatch between container contents shown by manifest data and the contents as ascertained from the scanning system, the container or vehicle may be withheld for further inspection.

In a transportation security technique, images are stored that are received from image capturing equipment deployed at respective screening nodes. The images are analyzed using a machine learning model, where presence of a particular object in an image indicates that a threat condition exists at the screening node. The analyzed images are transmitted to threat assessment components in accordance with predetermined criteria. An indication that the particular object is observed in the image is received from the threat assessment components. An indication that the particular object is observed in the image is transmitted to the screening node responsive to receiving the indication that the particular object is observed in the image. An indication of whether the particular object is present at the screening node is received. The machine learning model is trained based on the received indication of whether the particular object is observed in the image.

According to an embodiment, an inspection apparatus includes a communication interface and a processor. The communication interface acquires results of single-item determination, which are inspection results for individual parcels that are successively conveyed, and number-of-items information for identifying, as one parcel group, a plurality of parcels among the individual parcels. The processor identifies a plurality of parcels as one parcel group, based on the number-of-items information, determines a result of multiple-item determination, which is an inspection result for the parcel group, based on the results of the single-item determination for the individual parcels included in the parcel group, and distributes the individual parcels included in the parcel group, based on the result of the multiple-item determination.