The invention relates to a method for producing an OSB, wherein a scattered mat formed by strands adhered in multiple layers is pressed in a hot press to form a panel with a desired thickness, comprising the following steps: a) scanning the surface of an upper side of the mat or of the pressed panel to determine uneven areas and/or faults; b) determining position data of the determined uneven areas and/or faults; c) determining the volumes of the individual uneven areas and/or faults; d) targeted filling of the uneven areas and/or faults with a filling material, based on the determined position data and volumes, wherein e) the filling material is scattered with a scattering device.

Disclosed are a method and system for automatic detection of a fabric defect. The method comprises: preprocessing a region of a fabric to be detected during a fabric transmission process by a noise removing device to eliminate noise interference during a detection process; triggering a camera to perform image acquisition on the fabric to be detected according to rotation information of a motor of a roller of a cloth inspection machine; and automatically identifying a defect on the fabric to be detected based on an acquisition image.

A flaw detecting apparatus and a method for a plane mirror based on line scanning and ring band stitching are provided. The flaw detecting apparatus comprises: a line scanning detector, an annular illumination source, a rotary table rotatable about a Z axis, a translation table translatable along an X axis and a processor. By translating and rotating the plane mirror to be detected, an entire surface of the plane mirror to be detected can be detected by the line scanning detector, and the flaw of the entire plane mirror to be detected is obtained by a ring band stitching method. The method of line scanning and ring band stitching reduces the imaging distortion, the intermediate data amount, the difficulty in the distortion correction and difficulty in stitching, and improves the detection speed and the detection quality.

A seam inspection device includes an imaging device and a processing device. The imaging device shoots a sewing object supported by a throat plate of a sewing machine and having seams formed therein. And the processing device detects an abnormality of the seam based on an image of the sewing object acquired by the imaging device.

A method of synchronizing a line scan camera. The method comprises: obtaining line scan data of a region of interest (ROI) of a travelling surface from the line scan camera, the line scan camera being oriented perpendicular to a direction of travel of the travelling surface, the line scan data comprising a plurality of lines; identifying occurrences of a major frequency of a repeated texture on the travelling surface using characterized line scan data for each line in the plurality of lines of the line scan data; determining a period of the major frequency; and changing a line rate of the line scan camera when the determined period is different than a reference period.

A method of synchronizing a line scan camera. The method comprises: obtaining line scan data of a region of interest (ROI) of a travelling surface from the line scan camera, the line scan camera being oriented perpendicular to a direction of travel of the travelling surface, the line scan data comprising a plurality of lines; identifying occurrences of a major frequency of a repeated texture on the travelling surface using characterized line scan data for each line in the plurality of lines of the line scan data; determining a period of the major frequency; and changing a line rate of the line scan camera when the determined period is different than a reference period.

The invention relates to a method, a computer program product and a machine vision system (30), comprising at least one lighting device (34), at least one image sensor (31 a-c) and a data processing device (32), the system in a first mode illuminating a first object (35) using a first type of illumination and capturing images of the first object at a first image capturing frequency, when the first object (35) is on a second object (33), transmitting the captured image data to the data processing device for analysis, and changing the system for monitoring the second object in a second mode, if absence of the first object on the second object is detected from the image data, wherein said at least one image sensor (31 a-c) is reconfigured to capture images at a second image capturing frequency from the second object.

A surface defect inspection method includes: acquiring an original image by capturing an image of a subject of an inspection; generating texture feature images by applying a filtering process using spatial filters to the original image; generating a feature vector at each position of the original image, by extracting a value at a corresponding position from each of the texture feature images, for each of the positions of the original image; generating an abnormality level image representing an abnormality level for each position of the original image, by calculating, for each of the feature vectors, an abnormality level in a multi-dimensional distribution formed by the feature vectors; and detecting a part having the abnormality level that is higher than a predetermined level in the abnormality level image as a defect portion or a defect candidate portion.

An inspection method for inspecting a board-shaped inspection object with a pattern includes an imaging step of capturing an original image of an inspection surface of the inspection object, a digitization step of generating an image with two or three gradation levels by digitizing the original image captured by the imaging step using a threshold, and a determination step of inspecting the inspection object using the image generated by the digitization step.

An inspection method for inspecting a board-shaped inspection object with a pattern includes an imaging step of capturing an original image of an inspection surface of the inspection object, a digitization step of generating an image with two or three gradation levels by digitizing the original image captured by the imaging step using a threshold, and a determination step of inspecting the inspection object using the image generated by the digitization step.