Abstract: A surface inspection system for capturing surface defects of a surface to be checked, includes a camera system, an illumination system including one or more light sources, and an evaluation system. The evaluation system evaluates a brightness and/or color distribution of the surface to be checked in at least one image captured by the camera system and captures surface defects of the surface to be checked as local deviations in the brightness and/or color. The evaluation system is configured to assess a local deviation in the brightness and/or color as a surface defect when the local deviation appears brighter in at least one first subregion and darker in at least one second subregion than a surface region surrounding the local deviation, and/or different colors are dominant in different subregions.

Abstract: A stripe projection system for three-dimensionally capturing the surface of a measurement object includes a projector configured to project a stripe pattern onto the measurement object and a digital camera for capturing the stripe pattern. The projector includes a binary amplitude mask having transparent and opaque regions. The amplitude mask has first stripe regions which extend in a first direction and in which the proportion of the opaque and of the transparent area proportions varies depending on a position in a second direction. In this case, it is provided that the first stripe regions each form a transition region between continuous opaque or transparent stripes extending in the first direction and alternate with these stripes in the second direction.

Abstract: A surface inspection system for capturing surface defects of a surface to be checked, includes a camera system, an illumination system including one or more light sources, and an evaluation system. The evaluation system evaluates a brightness and/or color distribution of the surface to be checked in at least one image captured by the camera system and captures surface defects of the surface to be checked as local deviations in the brightness and/or color. The evaluation system is configured to assess a local deviation in the brightness and/or color as a surface defect when the local deviation appears brighter in at least one first subregion and darker in at least one second subregion than a surface region surrounding the local deviation, and/or different colors are dominant in different subregions.

Abstract: A method for determining an exposure, in particular an exposure time, for a recording in a method for determining the 3D coordinates of an object is provided, in which a pattern is projected onto the object and the light reflected by the object is recorded. To improve such a method, a recording of the object is produced with a predetermined exposure, in particular exposure time. A mask image of this recording is produced, in which mask image the regions of the object lying within the measurement volume are depicted. The exposure, in particular the exposure time, for the recording is determined depending on the predetermined exposure, in particular exposure time, depending on the mean greyscale value in the regions, lying within the measurement volume, of the recording with a predetermined exposure and depending on an ideal greyscale value.

Abstract: A method for determining an exposure, in particular an exposure time, for a recording in a method for determining the 3D coordinates of an object is provided, in which a pattern is projected onto the object and the light reflected by the object is recorded. To improve such a method, a recording of the object is produced with a predetermined exposure, in particular exposure time. A mask image of this recording is produced, in which mask image the regions of the object lying within the measurement volume are depicted. The exposure, in particular the exposure time, for the recording is determined depending on the predetermined exposure, in particular exposure time, depending on the mean greyscale value in the regions, lying within the measurement volume, of the recording with a predetermined exposure and depending on an ideal greyscale value.

Abstract: A method serves the detection of surface defects of a component. The surface of the component (5) is radiated from the side with light from a light source (4, 4?). The light radiated back from the surface of the component (5) is detected by a sensor. To improve such a method, only a rear region (19, 19?) of the surface of the component (5) is radiated with light from the light source (4, 4?) and/or only the light radiated back from a rear region (19, 19?) of the surface of the component (5) is detected by the sensor and/or evaluated by an evaluation device FIG. 3).

Abstract: A method serves the detection of surface defects of a component. The surface of the component (5) is radiated from the side with light from a light source (4, 4?). The light radiated back from the surface of the component (5) is detected by a sensor. To improve such a method, only a rear region (19, 19?) of the surface of the component (5) is radiated with light from the light source (4, 4?) and/or only the light radiated back from a rear region (19, 19?) of the surface of the component (5) is detected by the sensor and/or evaluated by an evaluation device.