G01N2021/888

CRACK EVALUATION APPARATUS, CRACK EVALUATION METHOD, AND CRACK EVALUATION PROGRAM
20220148150 · 2022-05-12 · ·

The crack evaluation apparatus includes a crack information acquiring unit that performs image processing on a captured image of a structure and acquires crack information about cracks of the structure; a crack vector generating unit that generates crack vectors on the basis of the acquired crack information, and generates, among the crack vectors that are generated, a coupling crack vector coupling, according to a coupling standard, crack vectors that are spatially separated from each other; a display unit that displays, in a classified manner, the crack vectors and the coupling crack vector that are generated; an operating unit that accepts a user operation for editing the crack vectors and the coupling crack vector that are displayed; and an evaluation unit that acquires an evaluation result of the cracks of the structure on the basis of crack information of the crack vectors and the coupling crack vector that are edited.

Inspection apparatus and inspection method
11175240 · 2021-11-16 · ·

An inspection apparatus includes: an upstream imaging mechanism that images an upstream wall surface extending from a bottom part of a recess upstream of and adjacent to a projection in a rotating direction of a workpiece to a tip of the projection; and a downstream imaging mechanism that images a downstream wall surface extending from a bottom part of the recess downstream of and adjacent to the projection in the rotating direction to the tip of the projection. At least one of the imaging mechanisms includes a mover for parallelly moving and positioning in an orthogonal plane orthogonal to the axis of symmetry and images the workpiece from a position radially outward of the workpiece and positioned by the mover.

Apparatus for optimizing inspection of exterior of target object and method thereof

There is provided a technique that includes: a camera configured to capture images of the target object; a memory configured to store the images of the target object and feature data including one or more predetermined exterior features of the target object; and a processor configured to: determine a first process configuration for an operation including a plurality of image processes; perform the operation under the first process configuration; generate inspection data from the sets of images that have been processed; generate an inspection score by comparing the inspection data with the feature data; compare the inspection score with a predetermined threshold score; set the first process configuration as an optimal configuration if the inspection score satisfies the predetermined threshold score.

MULTI-SENSOR PIPE INSPECTION SYSTEM AND METHOD
20230077875 · 2023-03-16 · ·

An approach for collecting disparate data within a pipe involves a sensor arrangement configured to be deployed within the pipe. The sensor arrangement includes a plurality of sensors configured to detect disparate data related to the pipe. Each sensor of the plurality of sensors is coupled to a respective collection computer on the sensor arrangement. A synchronization module is configured to synchronize the disparate data. A database is configured to store the synchronized data. A processor is configured to process the synchronized data. A user interface configured to present the synchronized data to a user.

Electrode Sheet Defect Detection System

An electrode sheet inspection system includes an inspection unit configured to inspect the external state of an electrode sheet and an ink marking unit configured to mark a portion to be removed on the electrode sheet, wherein the ink marking unit is configured to adjust an ink marking range, whereby it is possible to prevent removal of a mark on a defective portion of an electrode even after a process of notching the electrode sheet. An electrode sheet inspection method using the same is also described.

Method and system for inspecting repair or assembly operations

A method of identifying an item on a surface of a workpiece is disclosed. An optical device identifies an item on the surface of a workpiece. An item identification system includes a light projector and a photogrammetry system. One of the light projector and the photogrammetry system generates a three-dimensional coordinate system within the work cell. One of the light projector and the photogrammetry system identifies a location of the surface of the workpiece within the three-dimensional coordinates system. The controller calculates geometric location of the item on the surface of the work piece in the three-dimensional coordinate system as identified by the optical device. The controller signals the light projector to project a beam of light onto the surface of the workpiece identifying a disposition of the item disposed upon the surface of the workpiece.

Information processing apparatus, information processing method, and recording medium

An apparatus according to the present disclosure acquires a display condition for displaying at least a part of target data as a display image on a display unit, determines, in a case where the display image is changed, whether to store the display condition according to a changed display image in a storage unit, based on an index relating to the change of the display image, and stores, in a case where the display condition is determined to be stored, the display condition according to the changed display image in the storage unit.

Information processing apparatus related to machine learning for detecting target from image, method for controlling the same, and storage medium

An information processing apparatus includes a reception unit configured to receive an input specifying a position of a detection target included in an image, an acquisition unit configured to acquire a storage amount of training data including a pair of information indicating the image and information indicating the position specified by the input, a training unit configured to train a training model to detect the detection target from the image based on the stored training data, and a display control unit configured to control a display unit to display the storage amount, and a reference amount of the training data set as an amount of the training data necessary for the training unit to train the training model, in a comparable way.

Generating a holographic image to visualize contaminants

Visualizing a contaminant is provided. A contaminant of a plurality of different contaminants included in a contaminant knowledgebase is identified based on analysis of contaminant-relevant data received from one or more sensors of a plurality of different sensor arrays regarding an enclosed physical space. A concentration and a type of the contaminant is identified based on the contaminant-relevant data and information included in the contaminant knowledgebase. A location of the contaminant is identified within the enclosed physical space based on location of the one or more sensors that obtained the contaminant-relevant data and a digital twin of the enclosed physical space. A visualization of the contaminant is projected at an area proximate to the location of the contaminant using a holographic image indicating the concentration and the type of the contaminant within the enclosed physical space.

METHOD FOR CAPTURING A COATING OF A COMPONENT, IN PARTICULAR OF A MACHINE, THE COATING BEING FORMED FROM A FIRST MATERIAL

A method for capturing a coating of a component, which component has at least one first subregion and at least one second subregion, which adjoins the first subregion and in which the main body is free of the coating, wherein: first electromagnetic radiation reflected by the first subregion of the component and second electromagnetic radiation reflected by the second subregion of the component are sensed by a detection device; first data, which characterize the first electromagnetic radiation, and second data, which characterize the second electromagnetic radiation, are produced; a virtual, three-dimensional model of the component is produced in dependence on the data.