A printed circuit board inspection apparatus can inspect a mounting state of a component by generating depth information on the component by using a pattern of light reflected from the component mounted on a printed circuit board received by an image sensor, generating two-dimensional image data for the component by using at least one of light of a first wavelength, light of a second wavelength, light of a third wavelength, and light of a fourth wavelength reflected from the component received by a first image sensor, inputting the depth information and the two-dimensional image data for the component into a machine learning-based model, obtaining depth information with reduced noise from the machine learning-based model, and using the noise-reduced information.

A printed circuit board inspection apparatus can inspect the mounting state of a component by generating depth information on the component mounted on a printed circuit board by using a pattern of light reflected from the component and received by an image sensor, inputting the generated depth information into a machine-learning-based model, obtaining depth information with reduced noise from the machine-learning-based model, and using depth information with reduced noise.

An imaging part 120 receives the light that is reflected from the measurement target, and a plurality of pieces of pattern image data are generated. Height data is generated on the basis of the plurality of pieces of the pattern image data. Green light, blue light, and red light are successively emitted from the light sources 111 to 113, and are reflected from the pattern generating part 118, and uniform light of the green light, uniform light of the blue light, and uniform light of the red light are successively projected onto the measurement target. The imaging part 120 receives the uniform light reflected by the measurement target, and a plurality of pieces of texture image data are successively generated. The plurality of pieces of the texture image data are synthesized, whereby color texture image data is generated.

We disclose sensor systems, and associated calibration systems and methods, that provide efficient and reliable depth and texture fusion. One disclosed method includes transmitting a first light beam from a first perspective, transmitting a second light beam from a second perspective, aligning a visible light photodetector with the second perspective, aligning a depth sensor with the first perspective, and mutually registering the visible light photodetector and the depth sensor using a return of the first light beam, a return of the second light beam, and a reference map. The reference map can include a transform from a reference frame based on the first perspective and a reference frame based on the second perspective.

A multi-color system for optically inspecting a surface of a specimen includes a multi-wavelength led array to illuminate the specimen with a multi-color light pattern including simultaneously emitted spatial intensity color image patterns, each of which has first areas in which light is emitted with a first light intensity and second areas in which the light is emitted with a second light intensity, the first light intensity being higher than the second light intensity, and corresponding first and second areas in each of the simultaneously emitted spatial intensity color image patterns being phase-shifted relative to each other. A multi-color sensor captures each of the simultaneously emitted spatial intensity color image patterns reflected from the surface of the specimen in a single wavelength-multiplexed sensor image, and a data processing apparatus in communication with the multi-color sensor determines properties of the surface based on an evaluation of the single wavelength-multiplexed sensor image.

A position detection system detects a position of an object by using a plurality of frames, each of the plurality of frames being divided into a plurality of subframes. The position detection system includes: a projector configured to project a plurality of gray code patterns having different gray code values in an order of ascending and then descending or descending and then ascending of the different gray code values, each of the plurality of gray code patterns corresponding to a corresponding one of the plurality of subframes, each of the different gray code values being a power of two; an imaging device configured to generate a captured image by, for each of the plurality of subframes, imaging the object on which the plurality of gray code patterns are projected; a controller configured to estimate the position of the object based on the captured image.

The present disclosure relates to information processing apparatus and method configured so that more information can be obtained without the need for a frame memory. Scan of a point light source or a line light source configured to project a pattern image on an object is performed, and exposure and reading by line scan for capturing an image of the object is performed multiple times during a single cycle of the scan as projection of the pattern image. The present disclosure is, for example, applicable to an information processing apparatus, an image processing apparatus, an image projection apparatus, a control apparatus, a projection image capturing system, an information processing method, a program, or the like.

Systems and/or methods for, for a given pixel (or sub-pixel location) in an image acquired by the camera, finding which projector pixel (or more particularly, which projector column) primarily projected the light that was reflected from the object being scanned back to this camera position (e.g. what projector coordinates or projector column coordinate correspond(s) to these camera coordinates).

Disclosed are a scanner system and a method for recording surface geometry and surface color of an object where both surface geometry information and surface color information for a block of the image sensor pixels at least partly from one 2D image recorded by the color image sensor. A particular application is within dentistry, particularly for intraoral scanning.

A three-dimensional (3D) scanning method is disclosed, including: projecting, by at least two laser projectors in a 3D scanner, laser contour lines onto a surface of a scanned object; capturing, by a first camera in the 3D scanner, a two-dimensional (2D) pattern of the laser contour lines projected onto the surface of the scanned object; identifying, by a processor in the 3D scanner, a 2D line set at a highlight center from the 2D pattern of the laser contour lines; generating, by the processor based on the 2D line set, 3D contour point cloud data of the surface of the scanned object according to triangulation, wherein a position of the first camera is fixed, the at least two laser projectors correspond to at least two different wavelengths, and a spatial position relationship between light planes projected by the at least two laser projectors and the first camera is predetermined.