Patent classifications
G01V5/271
INDOOR RADON PREDICTION SYSTEM AND METHOD FOR RADON REDUCTION
An indoor radon prediction system and method for radon reduction is disclosed, the system including: a soil environment measurement module installed in soil surrounding a specific indoor space, and measuring environmental information data of temperature and humidity for the soil surrounding the corresponding specific indoor space; an indoor environment measurement module installed in the specific indoor space and measuring environmental information data of temperature and humidity for the corresponding specific indoor space; an indoor radon measurement module installed in a specific indoor space and measuring radon concentration data of the corresponding specific indoor space; a Korea Meteorological Administration (KMA) weather station management server constructing a database (DB) of big data information for surrounding weather conditions of the specific indoor space, thereby storing and managing the DB; and an indoor radon prediction management server.
Threat source mapping systems and methods
Provided herein are threat source mapping systems and related techniques. A threat source mapping system includes a threat sensor network and a logic device. The threat sensor network includes one or more threat detectors each configured to monitor at least a portion of a scene for at least one threat detection event. The logic device is configured to receive the at least one threat detection event from the threat sensor network, generate a threat source location heat map based, at least in part, on the at least one threat detection event, and generate a threat source image map based, at least in part, on the threat source location heat map and at least one image of the scene that at least partially overlaps the portions of the scene monitored by the one or more threat detectors. The threat source image map may then be displayed to a user.
Systems and Methods for Detecting Threats and Contraband in Cargo
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.
Distributed analysis X-ray inspection methods and systems
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.
Methods for reconstructing an unknown object in a scanned image
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.
Methods for removing a background object from an image
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.
Methods for extending a range for assigning attributes to an object in an image
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.
Methods for assigning a threat or safe condition to an object in an image
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.
Systems and methods for detecting threats and contraband in cargo
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.
Scanning Systems
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.