A method for characterizing a radiation source by a radiation portal monitoring system is described, the radiation portal monitoring system including a plurality of detectors including radiation detectors configured to detect ionizing radiation of the radiation source and to generate a detection signal responsive to detection of the ionizing radiation, and a control system including at least one processor executing the steps of: assigning an identification address to each detector; selecting a set of at least two detectors using the identification addresses; assigning an effective portal area to the selected set of detectors; receiving via a communication network a detection signal generated by the detectors of the selected set, using the identification addresses of the detectors of the selected set; and characterizing the radiation source associated with the effective portal area using the detection signal of the detectors of the selected set.

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.

A security inspection system and method are disclosed. The security inspection system comprises: at least one baggage cart comprising at least one compartment for containing a baggage and configured to pass through a scanning channel; and a scanning device configured to inspect the baggage cart passing through the scanning channel and containing the baggage, at least based on a traveling speed of the baggage cart.

A method for characterizing a radiation source by a radiation portal monitoring system is described, the radiation portal monitoring system including a plurality of detectors including radiation detectors configured to detect ionizing radiation of the radiation source and to generate a detection signal responsive to detection of the ionizing radiation, and a control system including at least one processor executing the steps of: assigning an identification address to each detector; selecting a set of at least two detectors using the identification addresses; assigning an effective portal area to the selected set of detectors; receiving via a communication network a detection signal generated by the detectors of the selected set, using the identification addresses of the detectors of the selected set; and characterizing the radiation source associated with the effective portal area using the detection signal of the detectors of the selected set.

The present invention relates to a system and method for inspecting object using a plurality of interlacing radiation energies. The system comprising a radiation module configured for producing and capturing radiation in multiple energy levels to scan the content of the cargo and converting the captured radiation into a plurality of images; and a controller configured for signalling the radiation module to start or to stop producing radiation and for controlling the energy level and pulse frequency of the radiation produced by the radiation module. The system further comprising a processor configured for determining whether the cargo contains any contraband or not by analysing the plurality of images, classifying the cargo based on types of materials and substance groups and highlighting region on an analysed image of the same substance by bounding perimeter of the object within a material-colour image for the material.

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.

This invention is an apparatus for the detection of indeterminate objects of interest contained within an encompassing medium using event detection including but not limited to radiation event counts. Methods currently in use for this purpose rely on prior knowledge of the object's characteristics (size, age, orientation, etc.), as in the case of detecting possible nuclear devices being transported by a vehicle. Additionally, these methods rely on the use of heavy lead shielding to eliminate the effects of background and atmospheric radiation, which makes the apparatus difficult to move and limits the size of the measurable area. Such methods are highly impractical for use in field studies, where the specific characteristics of objects of interest are often unknown and difficult terrain makes the use of heavy, unwieldy equipment impossible.

This apparatus eliminates the need for both a complete understanding of an object's characteristics and the use of heavy shielding by relying on statistical analysis of measured events such as local gamma radiation counts to determine the probability of an object's presence. A plurality of independent event detecting nodes is first used to establish the baseline event activity such as background radiation (including environmental factors) in the field area, at a location determined unlikely to contain objects of interest due to geologic context or previous digging. Once the baseline radiation is established, the apparatus can then be moved to locations more likely to contain objects of interest. Each node then independently detects and quantifies the profile of event activity to derive evidence, when compared to the baseline, of the probability that an object of interest is within the medium. The calculated probabilities are then used to guide exploratory digging by indicating the likely direction and depth of an object of interest relative to the apparatus. By differentially measuring event activity such as background radiation with a plurality of event detecting nodes that can aggregate and groom results and incorporate them into the statistical analysis for in a specific area of interest, the need for event shielding techniques such as using heavy lead shielding is eliminated, making the resulting apparatus light and portable for easy use in the field. Additionally, it is unnecessary to know the specific characteristics of an object of interest, as the detected fluctuations of events such as gamma radiation are only meant to indicate the probability that any object is present within the medium. The versatility of the apparatus due to its size, multi-sensory node design, statistical capabilities, and compatibilit

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.

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.