The method and device to ensure the safety of people's life and health is based on the measurements of an intensity of spontaneous electromagnetic radiation caused by a deformation from a structure or a device, a nucleation and a growth of plant cells and living organisms; calculating an energy stored in a portion of a structure or cells based on the measured intensity; performing a comparison of the energy stored in the portion of the structure with a critical value for the structure and pathological changes in the cells; and indicate a potential failure of the structure or the level of pathological changes based on the performed comparison.

A system and method for automatically detecting prohibited objects in a compartment at a security checkpoint includes receiving a three-dimensional representation of a compartment from an imaging device connected to the computing system, identifying, by the processor, a region within the compartment that has a highest likelihood of containing a prohibited object, based on a voxel classification of the three-dimensional representation using a first trained neural network, and classifying, by the processor, shapes of objects located within the identified region using a second trained neural network to determine whether any of the shapes correspond to a shape of a prohibited object known by the second neural network.

The present invention is an electronically collimated gamma radiation detector apparatus including a radiation sensor coupled to a digitizer, which is coupled to a processor. The apparatus receives an analog signal waveform from the sensor and transmits it to the digitizer, for transformation to a digital pulse waveform. This waveform is transmitted to the processor, which calculates at least one pulse shape parameter of the waveform, instantiates a pulse data object, and populates the object with a pulse identifier, a vector parameter, and the pulse shape parameter. The above steps are repeated at a different vector to obtain multiple objects. The processor compares pulse shape parameters from different objects using a comparison method. The comparison method updates each object with a longitudinal, transverse, or angled directional parameter. The processor can output vector parameters associated longitudinal parameters, output objects with a desired vector parameter, or conduct further analysis on objects.

A bin for use in a security checkpoint can include a receptacle surface, sidewalls, a lip provided on the sidewalls, and a geometrical marker. The geometrical marker is radiographically, visually, and tactilely detectable on the lip of one side of the bin. The geometrical marker includes a plurality of tag elements.

Systems, methods, and apparatuses are provided for evaluating an image quality of an image produced by an x-ray computed tomography (CT) system.

Methods and systems for non-intrusively detecting existence of fissile materials by measuring energetic prompt neutrons. The unique nature of the prompt neutron energy spectrum from photo-fission arising from emission of neutrons from almost fully accelerated fragments is used to unambiguously identify fissile material. Angular distribution of prompt neutrons from photo-fission and energy distribution correlated to neutron angle relative to the photon beam are used to distinguish odd-even from even-even nuclei undergoing photo-fission. Independence of the neutron yield curve (yield as a function of electron beam energy or photon energy) on neutron energy is used to distinguish photo-fission from other processes such as (, n). Different beam geometries detect localized samples of fissile material and fissile materials dispersed as small fragments or thin sheets over broad regions. These signals from photo-fission are unique, allowing detection of any material in the actinide region of the nuclear periodic table.

An automatic threat recognition (ATR) system is disclosed for scanning an article to recognize contraband items or items of interest contained within the article. The ATR system uses a CAT scanner to obtain a CT image scan of objects within the article, representing a plurality of 2D image slices of the article and its contents. Each 2D image slice includes information forming a plurality of voxels. The ATR system includes a computer and determines which voxels have a likelihood of representing materials of interest. It then aggregates those voxels to produce detected objects. The detected objects are further classified as items of interest vs. not of interest. The ATR system is based on learned parameters for a novel interaction of global and object context mechanisms. ATR system performance may be optimized by using jointly optimal global and object context parameters learned during training. The global context parameters may apply to the article as a whole and facilitate object detection. The object context parameters may apply to the individual object detections.

An X-ray imaging system includes a frame; a gantry mounted on the frame; an electromagnetic linear drive coupled to the gantry for translating the gantry in a horizontal direction; a C-arm mounted on the gantry, the C-arm rotatable across at least a 90 degree angle; an X-ray source mounted to one end of C-arm; an X-ray detector array mounted to the opposite end of the C-arm. The array is formed of a plurality of array elements, each array element formed of a plurality of linear detectors. Each array element is mounted perpendicular to a radial line between a focal spot of the X-ray source and a middle of each array element, and the X-ray detector array has a focal point at the X-ray source.

In a security check, a complete cart with pieces of luggage is scanned to determine whether a threat is present or not. An image is provided, of the cart and owner, before delivery of the cart to the scanner, and if a threat, usually one or more predetermined substances or items, is present, the image is provided to allow identification of the owner. Also, the image may be used for determining whether pieces of luggage are lost in the scanner.

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.