An electronic device for setting a processing procedure for controlling an apparatus, the electronic device comprising: at least one processor configured to cause the electronic device to perform operations of: obtaining a captured image; determining a type of an object included in the captured image; notifying an item indicating target processing corresponding to the object included in the captured image, among a plurality of analysis processing; notifying a result obtained by applying the target processing to the captured image; and receiving a user instruction for adding the processing corresponding to the item to a processing procedure for controlling the apparatus.

An integrated system for automatic forming, picking, and inspection of a grinding wheel mesh piece and a method thereof, including a visual inspection system (1), a conveying system (2), a cutting system (3), and a picking system (4); the conveying system (2) is used to precisely control a conveying action of a cutting section conveying platform (51) and a picking section conveying platform (52), and the visual inspection system (1) is used to acquire an image of a grinding wheel mesh cloth, establish virtual origin coordinates of a cutting layout and center coordinates of the grinding wheel mesh piece after cutting, recognize defects of the grinding wheel mesh cloth, and calibrate qualified center coordinates and unqualified center coordinates; the cutting system (3) is used to cut the grinding wheel mesh cloth moved to the cutting section conveying platform (51) to obtain a circular grinding wheel mesh piece.

Monitoring operations of a polishing system includes obtaining a time-based sequence of reference images of a component of the polishing system performing operations during a test operation of the polishing system, receiving from a camera a time-based sequence of monitoring images of an equivalent component of an equivalent polishing system performing operations during polishing of a substrate, determining a difference value for the time-based sequence of monitoring images by comparing the time-based sequence of reference images to the time-based sequence of monitoring image using an image processing algorithm, determining whether the difference value exceeds a threshold, and in response to determining the difference value exceeds the threshold, indicating an excursion.

Method for detecting a defect in a zone of interest of an optical lens, the method including: an image reception step, during which a plurality of images is received, each image includes a view of the zone of interest in front of a plurality of specific patterns, each specific pattern including a bright area and a dark area, and at least one image received is saturated in light intensity; a sampling step, during which each image of the plurality of images are sampled based on a common sampling pattern; a recombination step, during which a recombined image of the zone of interest is determined based on the common sampling pattern; and a defect detection step, during which a defect is detected in the zone of interest of the optical lens based on an analysis of the recombined image.

An apparatus for testing an edge portion of a substrate, includes a first illumination source configured to irradiate light to an end portion of the edge portion of the substrate; a second illumination source configured to irradiate light to a lower portion of the edge portion; a third illumination source configured to irradiate light to an upper portion of the edge portion; and first to third photographing portions, respectively corresponding to the first to third illumination sources, wherein the first illumination source comprises a C-shaped cross-section and comprises a first curved surface facing the end portion of the edge portion, the second illumination source comprises a half C-shaped cross-section and comprises a second curved surface facing the lower portion of the edge portion, and the third illumination source comprises a half C-shaped cross-section and comprises a third curved surface facing the upper portion of the edge portion.

The present invention is in the field of methods for determining material properties from foam samples. It relates to a computer-implemented method for determining a material property of a foam sample comprising (a) providing a representation of the sample, (b) extracting at least one structural feature from the representation, wherein the at least one structural feature comprises walls, struts, or nodes (c) providing the at least one structural feature to a material model suitable for obtaining at least one material property from the structural feature, and (d) outputting the at least one material property received from the material model.

A system and a method for tracing components of an electronic assembly. The method may include obtaining an image of a component of the electronic assembly, generating identification information of the component based on visual features of the component, authenticating the component based on the identification information, generating correlating information by associating the component to an electronic assembly and classifying the component to a group based on the visual features of the component.

An operation determination apparatus includes an image obtainer that obtains a captured image of a worker gripping a component and performing an operation of attaching the component to a workpiece, a component detector that detects a component in the captured image obtained by the image obtainer, a grip determiner that determines, based on a detection result from the component detector, whether the worker is gripping a component and whether the component gripped by the worker is a component to be attached to the workpiece in the operation, and a notification controller that controls a predetermined notification to be provided in response to the grip determiner determining that the component gripped by the worker is not the component to be attached to the workpiece in the operation.

Method for detecting containers which have fallen over and/or are damaged in a container mass flow, wherein the containers in the container mass flow are transported vertically on a transporter, wherein the container mass flow is captured as an image data stream using at least one camera, and wherein the image data stream is evaluated by an image processing unit, wherein the image data stream is evaluated by the image processing unit using a deep neural network in order to detect and locate the containers which have fallen over and/or are damaged.

A method and device for processing ultrasonic data from an industrial inspection device. Ultrasonic reflections from a high-resolution phased array are sampled at high-frequency to create a large volume of data. The data are converted to I/Q data and compressed to a manageable size. An external computer can beamform and render an image without restoring the compressed data to raw form. This method may be used for in-line inspection, downhole inspection, or ultrasonic testing.