A computer-implemented method of handling a container includes performing a first scan of the container. The container includes objects therein. The scan includes irradiating the container with polychromatic x-rays with a first x-ray scanning system at a first geographic location and generating a first scan record using a processing device. The method also includes moving the container from the first geographic location to a second geographic location. The method further includes performing a second scan of the container including irradiating the container with polychromatic x-rays with a second x-ray scanning system at the second geographic location and generating a second scan record using a processing device. The method also includes comparing the first scan record and the second scan record. The method further includes determining the second scan record is substantially indistinguishable or distinguishable from the first scan record.

A system for detecting clandestine materials employs a lightweight neutron-source that can be mounted to a remotely controlled mobile platform for flexible and high standoff scanning of possibly explosive materials. In one embodiment, aerial drones hold the neutron-source and detectors for highly flexible remote scanning.

A gantry scanner system comprises a radiation source, a plurality of detectors and a support frame supporting the detectors. The support frame includes an elongate support member arranged to support the detectors, cable support means arranged to support power cables or signal cables connected to the detectors, and cover means arranged to cover the support member, the cable support means and the detectors.

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 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 crane including support means arranged to support a load and to move the load along a path, and a scanner including a radiation source and radiation detection means arranged to scan a scanning volume. The path is arranged to pass through the scanning volume so that the scanner can scan the load as it moves along the path.

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 gantry scanner system comprises a radiation source, a plurality of detectors and a support frame supporting the detectors. The support frame includes an elongate support member arranged to support the detectors, cable support means arranged to support power cables or signal cables connected to the detectors, and cover means arranged to cover the support member, the cable support means and the detectors.

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.

The present application is directed toward cargo scanning systems having scanners, each arranged to scan a respective object and generate a set of scan data, processors arranged to process each set of scan data to determine whether it meets a predetermined threat condition, workstations, and data management system arranged to direct data that meets the threat condition to one of the workstations for analysis.