A controller of the robot apparatus performs approaching control for making a second workpiece approach a first workpiece and position adjustment control for adjusting a position of the second workpiece with respect to a position of the first workpiece. The approaching control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by a first camera, and making the second workpiece approach the first workpiece. The position adjustment control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by the first camera and an image captured by the second camera, and precisely adjusting a position of the first workpiece with respect to the second workpiece.

Various techniques are provided performing temperature inspections of assets, such as temperature-sensitive industrial equipment. In one example, a method includes receiving, at a portable device, inspection instructions associated with an asset at a location in an environment. The method also includes displaying, at the portable device, the asset in an augmented reality format to guide a user of the portable device to the location. The method also includes capturing, by a thermal imager associated with the portable device, a thermal image of the asset when the thermal imager is aligned with the asset. The method also includes extracting, from the thermal image, at least one temperature measurement associated with the asset. Additional methods and systems are also provided.

Provided is an object detection device which can detect with high accuracy a symmetrical target object represented in an image. The object detection device includes a memory which stores a model pattern representing a plurality of predetermined features in different positions to each other on a target object when the target object is viewed from a predetermined direction, a feature extraction unit which extracts a plurality of the predetermined features from an image in which the target object is represented, and a collation unit which calculates a degree of coincidence representing a degree of matching between the plurality of the predetermined features of the model pattern and a plurality of the predetermined features extracted from a region corresponding to the model pattern in the image while changing at least one of a relative position or angle, or a relative direction and relative size of the model pattern with respect to the image, and which judges that the target object is represented in the region of the image corresponding to the model pattern when the degree of coincidence is equal to or greater than a predetermined threshold, wherein the predetermined features stored in the memory include a feature of interest which can be used for detecting a position in a specific direction of the target object in the image or which can be used for detecting an angle in a rotational direction centered about a predetermined point of the target object in the image, and the collation unit increases the contribution in the calculation of the degree of coincidence when the feature of interest of the model pattern and a predetermined feature in the image match as compared to the case in which a predetermined feature of the model pattern other than the feature of interest and the predetermined feature in the image match to calculate the degree of coincidence.

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.

Even when a missing portion occurs in a solid data set on a columnar structure, an estimator for a deflection value and an accuracy of the deflection value are correctly estimated according to an extent of the missing portion and the like. A measurement accuracy estimation unit (15) is included that: calculates a deflection of a columnar structure and an extent of a missing portion, from a solid data set on the columnar structure; calculates an accuracy assessment indicator for the deflection that is acquirable when a plurality of missing portion patterns occur on a virtual basis, based on a plurality of solid data sets in each of which the calculated extent of the missing portion is smaller than a preset threshold value, the accuracy assessment indicator being calculated for each missing portion pattern; and calculates an accuracy of the deflection calculated from the solid data set, based on the calculated accuracy assessment indicator for each missing portion pattern, and based on the calculated extent of the missing portion in the solid data set.

A dismantling procedure selecting apparatus includes a dismantling information storage unit that stores a plurality of pieces of dismantling information respectively including a plurality of predetermined dismantling procedures for a plurality of dismantled objects each used as a reference for dismantling an object to be dismantled, a whole detector that captures a whole image of the object to be dismantled, a detail detector that captures an image of at least a portion of the object to be dismantled, and a dismantling procedure deriving unit that extracts a first feature as a feature of the object to be dismantled based on data obtained by capturing an image by at least one of the whole detector and the detail detector, obtains a degree of matching between the first feature and each of a plurality of second features that are respectively features of a plurality of dismantled objects, and selects a dismantling procedure associated with one of a plurality of the dismantled objects having a second feature having a highest degree of matching among a plurality of second features.

An abnormality inspection system S1 according to an embodiment includes: an image acquisition unit configured to acquire a plurality of pieces of continuous pickup data of a component such that an identical spot of the component is contained in mutually different regions of the plurality of pieces of continuous pickup data; and a determination unit configured to detect presence or absence of abnormality in the plurality of pieces of continuous pickup data, and to determine that the component is abnormal, in a case where the abnormality is detected in all of the plurality of pieces of pickup data.

The invention relates to a method for characterizing, from a volume image, a fibrous structure having a three-dimensional weaving between a plurality of warp yarns extending along a first direction and a plurality of weft yarns extending along a second direction perpendicular to the first one, the method comprising: a first processing (E10) of the volume image by filtering along a third direction perpendicular to the first and second directions so as to attenuate the periodic patterns along the third direction, obtaining (E20) a two-dimensional image corresponding to an intermediate plane along the third direction of the filtered volume image, a second processing (E31, E41) of the two-dimensional image by filtering along the first or second direction so as to attenuate the periodic patterns, obtaining (E32, E33) a one-dimensional profile representing the positions of warp or weft columns and corresponding to an intermediate line along the first or second direction of the filtered two-dimensional image, and comparing (E33, E43) the one-dimensional profile with a reference profile.

The present invention relates to a weld bead inspection device that inspects welding quality by measuring the state of beads formed at a welding part of a metallic or non-metallic pipe, or the like, and more specifically, to a weld bead inspection device that more efficiently inspects a welding part joined by a method such as thermal fusion for connection between pipes or connection between a pipe and a fitting. The weld bead inspection device includes a housing unit that forms an appearance; an imaging unit that images shapes of the weld beads in an inner space that is open downward from a middle inner side of the housing unit; a control unit that is provided in the housing unit to store image data captured by the imaging unit or to calculate external shapes of the weld beads for determining welding quality on the basis of the image data.

A system for monitoring a switchgear includes an infrared camera; a processing unit; and an output unit. The infrared camera acquires a first infrared image having a first number of pixels, and the processing unit determines a pixel in the first infrared image with a maximum temperature. The processing unit utilizes a second number less than the first number to determine a temperature interval for the first infrared image equal to a difference between the maximum temperature in the first infrared image and a threshold temperature in the first infrared image. The processing unit is configured to determine that a hot spot exists in the switchgear using the temperature interval for the first infrared image.