A shape inspection apparatus for inspecting a strip-shaped body includes: a line sensor camera; a first illumination light source and a second illumination light source; a measurement control unit; and a data processing unit. The measurement control unit controls the lighting timings and light emission time periods as well as the line image acquisition timing based on a line speed so that overlapping of photographing ranges does not occur between a first line image acquired within a light emission time period of the first illumination light source and a second line image acquired within a light emission time period of the second illumination light source. The data processing unit calculates an inclination of the surface of the strip-shaped body based on a differential line image obtained based on the first line image and the second line image.

A shape inspection apparatus for inspecting a strip-shaped body includes: a line sensor camera; a first illumination light source and a second illumination light source; a measurement control unit; and a data processing unit. The measurement control unit controls the lighting timings and light emission time periods as well as the line image acquisition timing based on a line speed so that overlapping of photographing ranges does not occur between a first line image acquired within a light emission time period of the first illumination light source and a second line image acquired within a light emission time period of the second illumination light source. The data processing unit calculates an inclination of the surface of the strip-shaped body based on a differential line image obtained based on the first line image and the second line image.

A shape inspection apparatus includes N illumination light sources, a line sensor camera, a measurement control unit, and a data processing unit. The measurement control unit controls the illumination light sources to modulate luminescence intensities at a frequency that is 1/N of a frequency of a scan rate of the line sensor camera, and to emit lights by sequentially repeating N different patterns of illumination intensity ratios. The data processing unit generates a first separated image and a second separated image based on a photographed image, generates a first mixing elimination image acquired by removing an unnecessary illumination component from the first separated image, and a second mixing elimination image acquired by removing an unnecessary illumination component from the second separated image, and calculates an inclination of the surface of the strip-shaped body based on a difference between the first mixing elimination image and the second mixing elimination image.

An apparatus for checking tires described as a linear camera having an objective line lying on an optical plane; a first, a second and a third light source for emitting respectively a first, a second and a third light radiation; a command and control unit for selectively activating at least one from among the first, second and third light source and activating the linear camera in order to acquire a two-dimensional image of a linear surface portion of the tire synchronously with the activation of the first, second and third source. The first and second light source lie on opposite sides of the optical plane. Furthermore, the first, second and third light source include each one or more sub-sources each having a respective main extension direction parallel to the optical plane and the distance of the sub-sources of the third light source from the optical plane is less than the distance of the first and second light source from the optical plane.

The invention relates to a method for illuminating a wood fibre web for deviation detection. The method comprises turning on LEDs of an overhead sidelight that are side-directed towards a first edge of the web for illuminating a first half of width of the web, capturing an image of the first half, turning off the LEDs, turning on LEDs of the overhead sidelight that are side-directed towards a second edge of the web for illuminating a second half of width of the web, capturing an image of the second half, and turning off the LEDs. The invention also relates to an overhead sidelight, a machine vision system, and a lighting system.

A defect classification method in accordance with the present invention uses two types of images output from the defect inspection device 150 (i.e., the first inspection image generated from a luminance signal sequentially output from a detector SE and the second inspection image generated from a difference of the signals from an adjacent portion in a region where the defect exists). The first inspection image includes information for discriminating unevenness of the defective shape. Also, while it is difficult to discriminate unevenness of the defective shape by the second inspection image, the second inspection image includes information on a luminance distribution emphasizing a defective section. The region of the defective section is extracted from the second inspection image to be applied to the first inspection image and thereby define an arithmetic processing area, and the image processing is performed within the arithmetic processing area to compute a feature amount.

A defect classification method in accordance with the present invention uses two types of images output from the defect inspection device 150 (i.e., the first inspection image generated from a luminance signal sequentially output from a detector SE and the second inspection image generated from a difference of the signals from an adjacent portion in a region where the defect exists). The first inspection image includes information for discriminating unevenness of the defective shape. Also, while it is difficult to discriminate unevenness of the defective shape by the second inspection image, the second inspection image includes information on a luminance distribution emphasizing a defective section. The region of the defective section is extracted from the second inspection image to be applied to the first inspection image and thereby define an arithmetic processing area, and the image processing is performed within the arithmetic processing area to compute a feature amount.

A method for automatically detecting surface defects of curved articles of the food processing industry includes: conveying the articles in a conveying direction by a conveyor belt, illuminating the articles by a line laser light source above the belt such that the laser line is oriented transverse to the conveying direction, line-by-line detection of backscattered light while the articles are being conveyed, using a camera above the belt, by recording a line profile in each case, determining raw line height data representing the cross-sectional heights, from the line profile recorded, determining raw surface height data by compiling the raw line height data determined in the conveying direction, determining smoothed surface height data by filtering the raw line height data and/or the raw surface height data using at least one filter criterion, and determining differential height data by subtracting the smoothed data from the raw data. An apparatus is also provided.

The present invention provides a method for mending projection and recess defects existing on the surface of a metallic plate, wherein steps (1) to (2) are repeated until it is determined in step (1) that mending of the projection and recess defects on the surface of the metallic plate is no longer necessary. Step (1): A step for shining light onto the surface of the metallic plate, detecting the positions of projection and recess defects on the surface of the metallic plate according to the brightness distribution on the metallic plate, the brightness distribution being obtained from reflected light, quantifying the brightness intensities of the projection and recess defects, and determining whether it is necessary to mend the projection and recess defects. Step (2): A step for mending the projection and recess defects for which it is determined in step (1) that mending is necessary.

A corrugated board sheet defect detecting device detects a defect in a single-faced cardboard sheet guided by a guide member with corrugated core paper facing outwards. The device includes a radiating device, an image capturing device, an image processing device, and an assessing device. The radiating device is configured to radiate light toward the core paper at a radiation angle relative to the single-faced cardboard sheet. The image capturing device is configured to capture an image of a portion of the core paper irradiated with the light. The image processing device is configured to a light portion and a dark portion in a direction in which the single-faced cardboard sheet is transported based on the captured image. The assessing device is configured to assess a quality by comparing a length of the light portion and a length of the dark portion.