A computer-implemented method comprising: receiving data comprising two-dimensional data and three-dimensional data of a component of an engine; identifying a feature of the component using the two-dimensional data; determining coordinates of the feature in the two-dimensional data; determining coordinates of the feature in the three-dimensional data using: the determined coordinates of the feature in the two-dimensional data; and a pre-determined transformation between coordinates in two-dimensional data and coordinates in three-dimensional data; and measuring a parameter of the feature of the component using the determined coordinates of the feature in the three-dimensional data.

A process includes: (i) receiving image data, dividing a portion of the image data into a plurality of grids including a first grid, a second grid, a third grid, and a fourth grid, dividing the portion of the image data into a plurality of areas including (a) a first area including the first grid and the third grid, and (b) a second area including the second grid and the fourth grid; (ii) detecting an object relating to the first grid; and (iii) when the object is detected in the first grid, generating a signal for controlling discharge of fluid from a fluid discharging unit so that fluid flows through the first area including the first grid.

A system and method for estimating aspects of target objects and/or associated task implementations is disclosed.

A method is specified for determining a size of a defect occurring in a surface region of a component while a surface modification process is performed on the surface region. The method includes identifying an occurrence of a defect occurring in a surface region of a component on a basis of a set of images and determining a size of the defect in a separate method step from the occurrence of the defect identified. In addition, an apparatus and a computer program are specified for determining a size of a defect occurring in a surface region of a component while a surface modification process is performed on the surface region.

A vision inspection system includes a sorting platform having an upper surface supporting parts for inspection, wherein the parts are configured to be loaded onto the upper surface of the sorting platform in a random orientation. The vision inspection system includes an inspection station including an imaging device. The vision inspection system includes a vision inspection controller receiving images and processing the images based on an image analysis model to determine inspection results for each of the parts. The vision inspection controller has a shape recognition tool configured to recognize the parts in the field of view regardless of the orientation of the parts on the sorting platform. The vision inspection controller has an AI learning module operated to customize and configure the image analysis model based on the images received from the imaging device.

A system and method for extracting features from a 2D image of an object using a deep learning neural network and a vector field estimation process. The method includes extracting a plurality of possible feature points, generating a mask image that defines pixels in the 2D image where the object is located, and generating a vector field image for each extracted feature point that includes an arrow directed towards the extracted feature point. The method also includes generating a vector intersection image by identifying an intersection point where the arrows for every combination of two pixels in the 2D image intersect. The method assigns a score for each intersection point depending on the distance from each pixel for each combination of two pixels and the intersection point, and generates a point voting image that identifies a feature location from a number of clustered points.

An improved method for examining an article by using a vision system is presented. Also presented is a vision system for use within such a method.

An information processing device according to the present disclosure including: a mesh division unit (102) that divides at least part of first and second images captured at different times of a target area for detecting chips generated from a workpiece, into a plurality of mesh regions, the images each being an inside image of a machine tool; and an information processing unit (103) that performs processing to associate (a) information on a first chip corresponding to a specific mesh region among the plurality of the mesh regions corresponding to the first image, (b) information on a second chip corresponding to the specific mesh region among the plurality of the mesh regions corresponding to the second image, (c) a first time related to the first image, and (d) a second time related to the second image.

System and method that includes mapping temperature values from a two dimensional (2D) thermal image of a component to a three dimensional (3D) drawing model of the component to generate a 3D thermal model of the component; mapping temperature values from the 3D thermal model to a 2D virtual thermal image corresponding to a virtual thermal camera perspective; and predicting an attribute for the component by applying a prediction function to the 2D virtual thermal image.

A weld-line generating apparatus includes a point-cloud-data acquiring unit that acquires 3D point cloud data of workpieces to be welded that are arranged in a predetermined space, an edge extracting unit that extracts 3D point cloud data of edges from the 3D point cloud data acquired by the point-cloud-data acquiring unit, a workpiece point-cloud-data generating unit that generates a 3D point cloud data component of each of the workpiece based on 3D point cloud data that is obtained by removing the 3D point cloud data of edges extracted by the edge extracting unit from the 3D point cloud data acquired by the point-cloud-data acquiring unit, and a weld-line generating unit 24 that generates weld lines for the workpieces based on the 3D point cloud data components of the workpieces generated by the workpiece point-cloud-data generating unit.