Patent classifications
G01N2223/652
Method for elementally detecting variations in density
A method and system are provided for elementally detecting variations in density. The method includes providing a computed tomography device, comprising a radiation source, a detector, and at least one grating between the radiation source and the detector, positioning the component between the radiation source and the detector, directing radiation from the radiation source to the detector to acquire information from the component, generating at least one phase contrast image and at least one dark field contrast image of the component corresponding to variations in density with the information from the component, correlating the variations in density to a foreign mass, and displaying foreign mass distribution within the component. The system includes a radiation source, a detector, a component, a first grating, a second grating, and an analysis device capable of determining total variation of density in response to radiation received by the detector, and correlating the variation of density to free element distribution in the component.
INSPECTION AND SORTING SYSTEM
An inspection and sorting system sorts conveyed articles. The system is provided with a conveyance device, an X-ray inspection device, and a sorting device. The conveyance device conveys inspection articles. The X-ray inspection device inspects the conveyed inspection articles. The sorting device has an air sorting mechanism that sorts the conveyed inspection articles in a sorting operation. The sorting device has a sorting information receiving component, a reference signal receiving component, and a sorting mechanism control component. The sorting information receiving component receives sorting information relating to the sorting of the inspection articles based on an inspection result of the X-ray inspection device. The reference signal receiving component receives a fixed-interval reference signal relating to the conveyance by the conveyance device. The sorting mechanism control component controls the air sorting mechanism to execute the sorting operation based on the sorting information at a timing adjusted by the reference signal.
Device for inspecting a fibre-composite component for contaminations
A device and method for testing a fiber-composite component, which is to be processed by means of bonding, for the presence of at least one substance out of a selection of possible contaminants. A surface heating device for regional heating of a part-zone of the fiber-composite component to be bonded is performed for desorption of contaminants. A sensor array with a plurality of sensors detects contaminants in the gas phase, and a control device ascertains and signals contaminations which are found. An extractor device can be employed to extract machining dust from the fiber-composite component to a desorption device.
Device And Method For Non-Invasive Detection Of Hazardous Materials In The Aquatic Environment
The present invention is a device and method for the non-invasive detection of hazardous materials in an aquatic environment, wherein the device comprises a sealed housing, in which there is a fast neutron generator (101) surrounded by α particle detectors (106), and gamma quantum detector (111), wherein the fast neutron generator (101) emits neutrons in the direction of the tested object (107) through the neutron and/or gamma quanta guide (108), and the gamma quanta detector records gamma quanta emitted by the nuclei of the tested object (107) transmitted through neutron and/or gamma quanta guide (110).
CT SCANNER AND METHOD FOR PERFORMING A CT EXAMINATION OF AN OBJECT
CT scanner comprising a scanning conveyor (9) mounted on a supporting structure and configured to move an object (3) for CT examination forward through a scanning area (8), an input conveyor (10) configured to convey the object until the scanning chamber (2), and an output conveyor (11) configured to convey an object (3) out of the scanning chamber (2), wherein the input conveyor (10), the scanning conveyor (9) and the output conveyor (11) are configured to move forward the object (3) placed on a supporting unit (19) mechanically detached therefore, and wherein the scanning conveyor (9) is configured to rotate the supporting unit (19) and the object (3) on themselves as they travel through the scanning area (8). The input conveyor (10) and the output conveyor (11) are fitted with shields configured in such a way as to intercept all x-rays emitted from the scanning area (8) which escape from the scanning chamber (2) towards the conveyors.
X-ray inspection apparatus and X-ray inspection method
The X-ray inspection apparatus includes an X-ray source, a sample moving mechanism, an X-ray detector equipped with a line sensor with pixels detecting X-ray radiation passing through a sample, an image storage unit for storing X-ray radiation intensities, an intensity correction unit for correcting the X-ray radiation intensities stored in the image storage unit, and a defect detector for detecting a defect in the sample. The intensity correction unit sets an intensity of X-rays detected from the inspection initiation region after starting inspection of the sample or an intensity of X-rays preliminarily detected from the sample before starting the inspection as a reference radiation intensity, and corrects an intensity of X-rays detected from the subsequent inspection region based on a correction coefficient obtained from comparison between the intensity of X-rays detected from the subsequent inspection region and the reference radiation intensity.
X-RAY INSPECTION APPARATUS
An X-ray inspection apparatus includes an X-ray source configured to irradiate an article with X-rays in a plurality of energy bands, an X-ray detection unit capable of detecting the X-rays by a photon counting method, an image generation unit configured to generate an overall transmission image corresponding to the X-rays in all of the plurality of energy bands and a transmission image corresponding to the X-rays in some of the plurality of energy bands on the basis of a detection result of the X-rays by the X-ray detection unit, and an inspection unit configured to inspect the article on the basis of the overall transmission image and the transmission image.
Test device for irradiating products on a conveyor route
A test device for the irradiation of products which are fed into a housing along at least two tracks. At least one separate sensor is provided for each track in order to separately monitor the arrival at a target position selected individually for each track preferably within the housing of the test device.
INSPECTION DEVICE, LEARNED MODEL GENERATION METHOD, AND INSPECTION METHOD
To improve accuracy of inspecting a quality state of an inspection object. An inspection device 1 includes: an image storage unit 21 that stores, as pseudo RGB images, three inspection images for an inspection object W, which have different transmission characteristics and are obtained by capturing a predetermined type of the inspection object W; and a determination unit 24 that obtains a defective quality degree for the pseudo RGB image stored in the image storage unit 21 based on a learned model 22 created in advance by learning using an image having a same format as the pseudo RGB image, and determines a quality state of the inspection object W by comparison between the defective quality degree and a preset threshold.
INSPECTION DEVICE, LEARNED MODEL GENERATION METHOD, AND INSPECTION METHOD
To improve accuracy of inspecting a quality state of an inspection object. An inspection device 1 includes: an image storage unit 21 that captures a plurality of images having different input channels for an inspection object W under an imaging condition corresponding to each input channel, and stores multiple inspection images obtained by the capturing and combining the plurality of images of the inspection object W; and a determination unit 24 that obtains a defective quality degree for the multiple inspection images stored in the image storage unit 21 based on a learned model 22 created in advance by learning using an image having a same imaging condition as the multiple inspection images, and determines a quality state of the inspection object W by comparison between the defective quality degree and a preset threshold.