Methods of inspecting a material include moving the material and identifying a defect location of a defect. Methods include moving a camera along a second travel path in a second travel direction such that a field of view (FOV) of the camera moves relative to the material along the second travel path to match the defect location. Methods include passing the defect through the field of view (FOV) as the material moves and capturing images of the defect with the camera as the material moves and the defect moves through the FOV. The images include a first image of a first major surface, a second image of a second major surface, and a third image of an intermediate portion of the material between the first major surface and the second major surface. Methods include reviewing the plurality of images to characterize the defect.

A method performed in a coating testing system for automatically determining the polymerisation of coating material includes positioning a spectrometer probe adjacent to an object (wire 10), the object comprising a polymer coating; acquiring spectra of the polymer coating using the probe; and performing chemometric analysis on the acquired spectra in order to measure the polymerisation of the polymer coating.

An image capturing system (10), and a corresponding method, for determining the position of an embossed structure (30) on a sheet element (4) moved though a viewing area (18). It includes a camera (12) adapted for capturing a line image of the surface of the sheet element (4) in the viewing area (18), and an illumination unit (14) with a plurality of light sources (20, 21, . . . ) each adapted for illuminating the viewing area (18). The light sources (20, 21, . . . ) are arranged at different inclinations with respect to the viewing area (18). An image evaluation unit (16) determines an inclination-related parameter for the surface of the sheet element (4) in the viewing area (18) across the viewing area (18).

An optical detection device and a detection method thereof are provided. A linear light source provides a light curtain formed by multiple light beams, the light curtain is located on a transportation path of transporting an object to be detected. A sensor set senses the part of light beams not interrupted by the object to be detected, so as to generate a sensing signal with various strengths. A control circuit determines a physical characteristic, moving speed and position of the object to be detected according to the strength of the sensing signal.

A method for identifying defects in a web of material translating along a travel path is provided. The method includes receiving a first image from a first camera; receiving a second image from a second camera; identifying a candidate as a possible defect within the first image; determining a first x-y position of the candidate relative to the first image; identifying the candidate within the second image; and determining the candidate is a probable defect based on the first x-y position and a second x-y position of the candidate within the second image. The first x-y position and the second x-y position predict the candidate is located on the web of material within a margin-of-error.

An optical unit for an optical sorter can simplify the assembling operation and the installing operation of the optical sorter through unifying components of an optical section of the optical sorter for sorting objects to be sorted such as a granular object or a sheet object. The optical unit includes an optical detection means for detecting the object to be sorted, an ejector means for ejecting the object to be sorted, a discrimination means for processing detection signal from the optical detection means to make a quality discrimination of the sorted objects, and an ejector driving means for driving the ejector means based on the quality discrimination of the discrimination means. The optical detection means, the ejector means, the discrimination means, and the ejector driving means are integrated into a housing to unify them to provide the optical unit.

The invention relates to an apparatus for inspecting printed images for a printing or finishing machine with continuously moving printed products with an image detection device (3) with at least one camera (7), which is set up to detect a multi-line section of a recording region (5). In accordance with the invention, the device is characterized by an evaluation device (8) which is set up to process at least two partial areas of the multi-line section as one strip image each, and has a validation mode in which at least two strip images of a test image are compared with each other to check whether deviations of the strip images are detected. In a method according to the invention for validating the inspection algorithms, a stencil (20; 40) is placed in a recording region (5) of the device (1) for print image inspection, at least two multi-line strip images are acquired and compared with each other to determine whether deviations between a first and a second pattern are detected.

The present specification provides a film defect detection system. The film defect detection system may comprise an image acquisition unit configured to acquire an image of a film in a manufacturing process of the film; a defect detection unit configured to detect defects in the film by analyzing the acquired image of the film, using a machine learning algorithm learned to detect a defect in advance, when receiving the acquired image of the film; and an information output unit configured to output information on the defects in the film detected by the defect detection unit.

A method performed in a coating testing system for automatically determining the polymerisation of coating material includes positioning a spectrometer probe adjacent to an object (wire 10), the object comprising a polymer coating; acquiring spectra of the polymer coating using the probe; and performing chemometric analysis on the acquired spectra in order to measure the polymerisation of the polymer coating.

A method for monitoring a surface of an object via at least one optical camera including the steps: (i) image capture of a predetermined surface segment of the object by a camera at a first point in time, (ii) inspection of the predetermined surface segment of the object such that the surface of the object is acted on, and (iii) image capture of the predetermined surface segment of the object by a camera at a second point in time, which takes place after the first point in time, wherein the image data of the predetermined surface segment of the images of step (i) and step (iii) is sent to an evaluation means and then evaluated by this evaluation means and compared to each other, wherein, if a surface flaw detected in the image capture of step (iii), both in terms of its shape or its position on the surface of the object, coincides with a surface flaw detected in the image capture of step (i), then this surface flaw is classified as an actual surface flaw of the object.