A deterioration diagnosis device according to an example aspect of the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: acquiring an image including a portion to be diagnosed in a structure; calculating, by using the image, deterioration degree that is a degree of deterioration of the portion; calculating reliability for the deterioration degree based on imaging information that is information related to capturing of the image; and outputting the deterioration degree and the reliability in association with each other.

The disclosure provides a system for electromagnetic monitoring of active cracks in a concrete dam. The system includes at least four electromagnetic signal acquisition devices and a main control module. Each electromagnetic signal acquisition device includes: an electromagnetic monitoring sensor, an electromagnetic signal acquisition module, a power supply module and a first wireless communication module, for collecting and extracting electromagnetic radiation signals generated by the active cracks in the concrete dam. The main control module includes: a second wireless communication module, a CPU, a data storage unit and a data display unit, for processing the electromagnetic radiation signals received by the second wireless communication module, positioning locations of the active cracks and quantifying sizes of the active cracks.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

A quality control method includes: in response to triggering of a first preset condition, performing quality inspection on a plurality of to-be-inspected objects produced on a target production line; feeding back a result of the quality inspection to a control object associated with the target production line, the control object being used for controlling a process flow of the target production line; and in response to a second preset condition triggered on the control object, regulating the target production line based on a quality inspection result of at least one to-be-inspected object, where the quality inspection includes: performing at least one image acquisition on the to-be-inspected objects produced by the target production line, and inputting at least one acquired image into a defect detection model so as to perform the quality inspection on the to-be-inspected objects.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

There are provided systems and methods comprising obtaining an image informative of at least part of at least one structural element of a semiconductor specimen, using the image to generate one or more filters, performing a comparison between each given area of a plurality of areas of the image, and the one or more filters, and determining, based on the comparison, a set of points of the image, informative of an estimated position of at least one edge of the at least one structural element in the image, the set of points comprising, for each given row of a plurality of rows of the image, or for each given column of a plurality of columns of the image, at least one given point of the given row or of the given column of the image.

Optical hole inspection apparatus and methods are disclosed. An example probe for providing an image of an interior of a hole of a structure including a camera coupled to a lens, a tube coupled to the lens adjacent a first end of the tube and coaxial with an axis of the lens, and a mirror coupled to the tube adjacent a second end of the tube opposite the first end to reflect light traveling toward a longitudinal axis of the tube to the lens.