L-3 Communications Security and Detection Systems Corporation

Leidos Security Detection & Automation, Inc.

L-3 Security & Detection Systems, Inc.

David Perticone

Vitaliy Ziskin

Andrew Dean Foland

Shuanghe Shi

Richard Franklin Eilbert

Jeff Stillson

Andrew D Foland

A computing-device implemented system and method for identifying an item in an x-ray image is described. The method includes training a machine learning algorithm with at least one training data set of x-ray images to generate at least one machine-learned model. The method further includes receiving at least one rendered x-ray image that includes an item, identifying the item using the at least one model, and generating an automated detection indication associated with the item.

Systems and methods for image processing

This disclosure relates to systems and methods for material discrimination. The systems and methods include a single source that generates both neutrons and photons, and a single imaging array with a common detector that detects the neutrons and the photons generated from the single source. The systems and methods allow for a determination of the contents, and/or the effective atomic number ('Z') of the contents, of an object without physical inspection of the interior of the object.

Material discrimination system

A first image including a projection of a portion is generated based on data representing attenuation of higher-energy radiation having a peak energy of at least 1 MeV that passes through a portion of an inspection volume. A second image including a projection of the portion is generated based on data representing attenuation of lower-energy radiation passing through the portion of the inspection volume. A dual-pixel image is created from the first image and the second image. A region of interest is selected from the dual-pixel image. A first basis function that is derived from an attenuation characteristic associated with the region of interest is selected. The region of interest is represented in terms of an amplitude associated with the first basis function and an amplitude associated with the second basis function.

Examination of a region using dual-energy radiation

A first pulsed beam of charged particles from a particle accelerator is accelerated toward a first target that is configured to emit a fast neutron beam in response to being struck by an accelerated particle such that the fast neutron beam is directed toward a physical region. The last neutron beam includes a neutron having an energy sufficient to cause fission in a fissionable material. Data from a sensor configured to detect radiation of a fission product is accessed, and before accelerating a second pulsed beam of charged particles, whether the physical region includes a fissionable material based on the data from the sensor is determined.

Distinguishing between classes of fissionable material

Fissionable materials are distinguished from other high-effective atomic number materials by producing dual-energy x-ray radiation sufficient to cause fission in fissionable materials and directing the dual-energy x-ray radiation sufficient to cause fission in fissionable materials towards a physical region. X-ray radiation and a product of fission from the physical region are sensed. An absorption of the dual-energy x-ray radiation by the physical region is determined based on the sensed x-ray radiation, and whether the physical region includes fissionable material is determined based on the presence of a product of fission.

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Winchester, MA, United States of America

David Perticone