An inspection system is provided and includes a camera and controller. The camera can acquire at least one image of a target including opposed first and second surfaces. The controller can be in communication with the camera and receive the at least one image. The controller can also detect, using at least one computer vision algorithm, a geometry of the target including the first target surface and the second target surface of the target within at least one image. The at least one image can be acquired at a respective time under respective operating conditions. The controller can additionally segment erosion within the at least one image using the at least one computer vision algorithm. The controller can also generate an erosion depth profile for the at least one image. The erosion depth profile can characterize a depth of erosion of the target between the first and second surfaces.

The present disclosure relates to a system and method for determining a like grade and value or range of values for collectible cards. The system is configured to perform a method comprising: providing a graded card database comprising identifying attributes, physical characteristics, and grade information of each of graded cards, wherein the grade information comprises grade and corresponding grading entity of the graded cards; receiving at least one image of an object card; determining identifying attributes and physical characteristics of the object card based on the at least one image; selecting, from the graded card database, a comparison group including potentially a plurality of comparison cards based on the identifying attribute of the object card; determining a similarity between the object card and each comparison card based on the physical characteristic; and determining a likely grade for the object card based on the similarity. A card value database with information of traded card may be additionally provided and a likely value or range of values may be determined.

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.

A method is disclosed for inspecting electrical components within a housing. The method may be useful for identifying dust, grime, corrosion, tree-like structures, edges and/or slots on electrical components. The method includes capturing two optical images of an electrical component and comparing the images. Variations in pixels between the two images may be used to generate warnings.

Provided are a structure inspection method and a structure inspection system capable of efficiently inspecting structure and predicting deterioration with high accuracy. The structure inspection method includes: acquiring information on a location having internal damage within an inspection target region; and imaging the inspection target region with a visible light camera a plurality of times while shifting an imaging location, wherein a location except for the location having the internal damage is imaged with first pixel resolution and the location having internal damage is imaged with second pixel resolution higher than the first pixel resolution. Damage appearing on a surface of the structure is detected on the basis of a visible light image captured by the visible light camera. Information on the location having internal damage within the inspection target region is acquired by capturing an image that visualizes an internal state of the inspection target region.

A system for acquiring three-dimensional (3-D) models of objects includes a first camera group including: a first plurality of depth cameras having overlapping fields of view; a first processor; and a first memory storing instructions that, when executed by the first processor, cause the first processor to: control the first depth cameras to simultaneously capture a first group of images of a first portion of a first object; compute a partial 3-D model representing the first portion of the first object; and detect defects in the first object based on the partial 3-D model representing the first portion of the first object.

This management device for a material testing machine includes: an acquisition unit that acquires at least either a captured image of a material testing machine body or a captured image of a control device that causes the material testing machine body to execute a test; and a data-processing unit that associates the captured image with the material testing machine and stores a result in an image storage unit.

Provided is a damage diagram creation support method, which includes: acquiring information on a region having internal damage to a structure within an inspection target region; acquiring a visible light image obtained by imaging the inspection target region with a visible light camera; detecting fissuring appearing on a surface of the structure in the visible light image; and creating a damage diagram in which the fissuring detected in the visible light image is traced. Also provided is a damage diagram creation support device capable of appropriately recording a detection result of fissuring automatically detected from an image.

A system for visual inspection, which includes a processor that receives a sensitivity level relating to an image of an item on an inspection line, the image being displayed on the user interface device, and calculates a minimal defect size visible in the image at the received sensitivity level. The calculated minimal defect size is then displayed on a user interface. This visual demonstration of minimal detectable size, which changes as the user changes sensitivity level, enables the user to easily obtain a desired minimal detectable defect size.

Systems and methods provide technology for inspections including receiving image data from a sensor, the sensor operable to scan an object, where the object is a manufactured object, generating a 3D image record for the object based on the image data, comparing the 3D image record with a stored design model for the object and/or a stored baseline image record of the object, and generating findings data based on the comparing, where the findings data is indicative of a discrepancy identified between the 3D image record and the one or more of the stored design model for the object or the stored baseline image record of the object. The sensor can be mounted on a moving platform such as a robotic arm, a track mounted assembly or a drone. The technology can further include a motion or flight plan for moving the sensor relative to the object.