A processor of the inspection support device acquires an image obtained by imaging a structure to be inspected and detects damage to the structure on the basis of the acquired image. In a case where two or more types of damage (cracking B and linear free lime C.sub.2) to the structure are detected, the processor determines whether or not two or more types of damage are detected from the same or adjacent positions. In a case where determination is made that the cracking B and the linear free lime C.sub.2 are detected from the same or adjacent positions when the processor outputs the damage detection result (a damage image, a damage diagram, and the like), the processor preferentially outputs a damage detection result of the linear free lime C.sub.2 in accordance with a priority of a damage type (FIG. 16A and FIG. 16B).

Circuit board inspection by receiving a near infrared (NIR) image of at least a portion of a circuit board, analyzing the NIR image using a machine learning model, and detecting anomalous circuit board portions according to the analysis.

A system and method of using a tool assembly is provided. The system includes a body, a first camera and a second camera fixed to the body, and a controller. The controller is configured to receive data indicative of images of a reference feature from the first camera, determine data indicative of a first spatial position of the first camera based at least in part on the received data indicative of the images of the reference feature, and determine data indicative of a second spatial position of the second camera based on the first spatial position, a known spatial relationship between the first location and the second location, or both. Further, the controller may be configured to receive data indicative of images of a target feature using the second camera, derive dimensions of the target feature based on the images, and generate a three-dimensional representation of the target feature.

Method and arrangements for inspection of a drinking straw (101; 201) involving use of the drinking straw (101; 201) as a light guide for inspection of a sidewall (102; 202) of the drinking straw (101; 201) based on light leakage of guided light out from the drinking straw (101; 201) via the sidewall (102), such a through a damage (204) in the sidewall (102). It is illuminated (601), by means of one or more light sources (123), a first portion (131) of the drinking straw (101; 201) so that at least some of the light (127) on the first portion (131) is transmitted through a sidewall (102; 202) of the drinking straw (101; 201) into the drinking straw (101), and is guided therein. It is provided (602) one or more digital images (241) imaging another, second, portion (133; 233) of the drinking straw (101; 201) during said illumination. A light pattern captured by said one or more digital images (241) is analysed (603), corresponding to light escape of the internally reflected light out from the second portion (133) of the drinking straw (101; 201) via a sidewall (102; 202) of the drinking straw (101; 201). The damage (204) may be detected as a local spot (243) of image data discrepancy.

Systems and methods here may be used for capturing and analyzing reflectance images of facets on a gemstone under particular lighting and camera setups to automatically generate a clarity grade and/or surface polish grade for the gemstone.

An apparatus for inspecting transparent cylindrical containers comprising a support and/or gripping device for a cylindrical container adapted to support and make it rotate about a vertical rotation axis, a video camera directed to capture images of a window of a side wall of the cylindrical container, a first collimated lighting device that illuminates said window, a second lighting device that illuminates said window and is arranged opposite the first lighting device in a symmetrical position with respect to the window, a control unit operationally connected to the support and/or gripping device, to the video camera and to said first and second lighting devices, and programmed to capture images of said window at constant angular intervals, alternately activating the first and second lighting devices for each angular range until a complete 360° rotation of the cylindrical container is made, and processing the images obtained.

The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.

Apparatuses and methods are described for detecting inclusions in glass. The apparatuses and methods employ a laser that is configured to project a laser sheet at a first angle from one side of a glass sheet, and a camera configured to capture images from a second angle from another side of the glass sheet. The glass sheet is moved thorough the laser sheet while the camera captures images. One or more processing devices execute image processing algorithms to identify areas of the glass sheet containing inclusions based on the captured images. In some examples, the identified areas of the glass sheet are revisited to confirm they contain inclusions.

A method for inspecting a transparent workpiece comprises: directing light from an illumination source onto a plurality of defects formed in the transparent workpiece, wherein the plurality of defects extends in a defect direction, wherein the transparent workpiece comprises a first surface and a second surface; detecting a scattering image signal from light scattered by the plurality of defects using an imaging system, wherein an imaging axis of the imaging system extends at a non-zero imaging angle relative to the defect direction, wherein entireties of at least a subset of the plurality of defects are within a depth of field of the imaging system; and generating a three-dimensional image of at least one of the plurality of defects based on the scattering signal.

A method for inspecting an object includes determining guide image data of the object from a determined orientation, the guide image data including a guide image pixel array and a pixel property for at least one guide image pixel in the guide image pixel array. The method also includes receiving inspection image data indicative of an inspection image and associating the inspection image data with the guide image data with a processor of a computing device. Additionally, the method includes determining a property of the object based on the guide image data and the associated inspection image data.