An image-based acceptance learning device (2) learns a result of determination as to whether a planar object (1) is acceptable or defective based on at least one of a three-dimensional shape or a color on a surface of the planar object (1). The device (2) includes a surface image receiver (3) to receive an inputted two-dimensional data being image data of the surface of the planar object (1), a determination information receiver (4) to receive an inputted determination information indicating the result of determination as to whether the planar object (1) corresponding to the two-dimensional data is acceptable or defective, and a learner (5) to learn, based on the two-dimensional data and the determination information, a relevant area (1R) including the three-dimensional shape or the color on the surface in the two-dimensional data. The relevant area is a basis for the determination information.

A method for checking the production quality of a cable that is provided with a protective sheath, in particular an electrical cable, includes the steps of acquiring images of an external surface of the cable by way of one or more digital video cameras, while the cable is moved along an advancement axis. The method also includes processing the images by way of one or more algorithms in order to calculate one or more numeric indices, each one of which is proportional to a respective optically-detectable characteristic of the external surface of the cable.

Robots might interact with planar objects (e.g., garments) for process automation, quality control, to perform sewing operations, or the like. It is recognized herein that robots interacting with such planar objects can pose particular problems, for instance problems related to detecting the planar object and estimating the pose of the detected planar object. A system can be configured to detect or segment planar objects, such as garments. The system can include a three-dimensional (3D) sensor positioned to detect a planar object along a transverse direction. The system can further include a first surface that supports the planar object. The first surface can be positioned such that the planar object is disposed between the first surface and the 3D sensor along the transverse direction. In various examples, the 3D sensor is configured to detect the planar object without detecting the first surface.

A measurement device and method for a semiconductor structure are provided. The measurement device for the semiconductor structure includes a bearing platform, a clamping mechanism, and an image acquisition system. The clamping mechanism is installed on the bearing platform and includes a clamp disposed along a vertical direction. The clamp is configured to clamp the semiconductor structure such that the semiconductor structure is clamped with a to-be-measured surface facing a side. The image acquisition system is disposed by a side of the clamping mechanism, and is configured to acquire a three-dimensional morphology of the semiconductor structure from the side.

Based on a defective state of a structure, a degree of soundness that indicates how much the structure is sound is determined. Information about a defective state of the structure that provides grounds for this determination is outputted.

The purpose of the present invention is to increase accuracy of a specific test using an electronic microscope and improve work efficiency. Provided is a system that identifies test recipe information corresponding to an object to be tested on the basis of attribute information about a testing sample, and analyzes and evaluates the object to be tested contained in the testing sample by checking image data and element analysis data that are acquired by a measuring device in accordance with a control program for the test recipe information, against reference image data and reference element analysis data that are used as evaluation references for the object to be tested.

The invention provides an automatic inspection process for detecting visible defects on a manufactured item. The process includes a set up mode in which images of same-type defect free items, but not images of same-type defected items, are obtained, and an inspection mode in which images of both same-type defect free items and same-type defected items, are obtained and defects are detected. Images of the same-type defect free items are analyzed and based on the analysis the process switches to the inspection mode.

A system for monitoring the tread of a shoe includes a frame member, a waveguide structured to support the shoe when an outer sole of shoe is in contact with a surface of the waveguide, a light source structured to provide light within an edge of the waveguide such that the light will be internally reflected within the waveguide, and an imaging device structured and configured to generate an image of the outer sole of the shoe when the outer sole of shoe is in contact with the waveguide and the light is being provided within the waveguide. The system also includes a controller structured and configured to: (i) receive image data based on the image of the outer sole; (ii) determine from the image data a largest worn region size for the shoe; and (iii) determine a slip risk for the shoe based on the largest worn region size.

Systems and methods here may be used for capturing and analyzing reflectance images of facets on a gemstone under particular lighting and camera setups to automatically generate a clarity grade and/or surface polish grade for the gemstone.

An apparatus for inspecting transparent cylindrical containers comprising a support and/or gripping device for a cylindrical container adapted to support and make it rotate about a vertical rotation axis, a video camera directed to capture images of a window of a side wall of the cylindrical container, a first collimated lighting device that illuminates said window, a second lighting device that illuminates said window and is arranged opposite the first lighting device in a symmetrical position with respect to the window, a control unit operationally connected to the support and/or gripping device, to the video camera and to said first and second lighting devices, and programmed to capture images of said window at constant angular intervals, alternately activating the first and second lighting devices for each angular range until a complete 360° rotation of the cylindrical container is made, and processing the images obtained.