Abstract: A camera is provided for recognizing flashes that has an image sensor having a plurality of pixel elements for generating image information and a control and evaluation unit that is configured to read and evaluate image information from the image sensor as to whether a flash has been detected with the image information. In this respect, the image sensor is an event-based image sensor and the control and evaluation unit is configured to read and evaluate events as image information.

Abstract: A camera device is provided that has an image sensor having a plurality of pixel elements for recording image data of an object stream of objects moving in a direction of movement relative to the camera device and a control and evaluation unit that is configured to read and further process the image data from the image sensor, wherein the image sensor is configured as a high frequency binary image sensor that generates individual images of low bit depth at a high frame rate, In this respect, the control and evaluation unit is configured to trigger a plurality of repeated shots of individual images of the image sensor and to combine the individual images while compensating the movement of the object stream between the shots to form a common image.

Abstract: A method of reading optical codes is provided comprising the steps of recording an image, locating code zones in the image, and decoding the optical codes in the code zones, wherein the locating of code zones has a first segmentation process with machine learning by which first candidates for code zones are found. In this respect, the first candidates are evaluated to determine parameters for the locating of code zones and/or the decoding of the optical codes.

Abstract: A camera device having an image sensor for recording an image and having a control and evaluation unit configured to subdivide the image into first subregions, to find a second subregion in the image with structures of interest, and to carry out a brightness adjustment of the image, wherein the control and evaluation unit is further configured to determine a respective brightness distribution for the first subregions, to determine a selection of those first subregions that correspond to the second subregion, to generate a common brightness distribution of the second subregion from the brightness distributions of the first subregions of the selection, and to use the common brightness distribution to carry out the brightness adjustment for the second subregion.

Abstract: A camera for detecting an object in a detection zone is provided that has an image sensor having a plurality of light reception elements for the generation of image data from received light from the detection zone), a reception optics having a focus adjustment unit for setting a focal position, with an angle of incidence of the received light on the image sensor changing on a change of the focal position, and a control and evaluation unit that is configured to set the focal position for a sharp recording of image data of the object, A sensitivity change of the capturing of the image data caused by the respective angle of incidence of the received light is compensated.

Abstract: A method for recognizing defects on a homogeneous surface of an object during a movement of the object is provided, wherein an image of the homogeneous surface is recorded and the image is evaluated as to whether it has defects. In this respect, the image is recorded by an event-based image sensor that detects events of a changing intensity with a plurality of pixel elements; the recording takes place over a time interval within which the homogeneous surface moves on over at least some pixel elements of the image sensor; the events are corrected in accordance with a time that has elapsed since a reference point in time and the movement that has taken place during the elapsed time; and the corrected events are collected in an image that is then evaluated with respect to the defects.

Abstract: A method of reading an optical code is provided in which an image having the code is recorded, a first brightness adaptation of the image is carried out, a region of interest having the optical code is localized in the image, and the optical code in the region of interest is read. In this respect, the first brightness adaptation is a local brightness adaptation that is carried out in partial regions of the image still while further sections of the image are read; and the localization of the region of interest is based on image information of the image already processed by the first brightness adaptation.

Abstract: A camera based code reader is provided that has an image sensor for detecting image data having an optical code, a memory for storing image data, a first processing unit for transmitting the image data from the image sensor to the memory in an image data stream, and a second processing unit that is configured for a decoding in which the stored image data are evaluated to read the code content of the optical code, In this respect, the first processing unit is configured for at least one auxiliary function in which the first processing unit reads back at least some of the image data from the memory and writes a pre-processing result back to the memory; and in that the second processing unit is configured to invoke the auxiliary function of the first processing unit as required to assist the decoding.

Abstract: A camera includes an image sensor having a first recording channel of a first sensitivity for recording first image data including first pixels and a second recording channel of a second sensitivity lower than the first sensitivity for recording second image data including second pixels. The first pixels and second pixels are associated with one another by capturing a same object area. A control and evaluation unit processing the image data is configured to suppress noise effects in the second image data using a noise suppression filter that assigns a new value to a respective considered second pixel based on second pixels in a neighborhood of the considered second pixel. The noise suppression filter takes the second pixels in the neighborhood into account with a weighting that depends on how similar first pixels associated with the second pixels are to the associated first pixel of the respective considered second pixel.

Abstract: A method of locating code image zones in an output image of a code bearing object (14), wherein first candidates for code image zones are determined in a first segmentation process using a process of classical image processing without machine learning and second candidates for code image zones are determined in a second segmentation process using machine learning, with the first and second candidates being fused to locate the code image zones.

Abstract: A method for brightness and color correction of image data of a line camera is disclosed, wherein, for the detecting of image data with at least two line arrays of the line camera while illuminating a detection area of the line camera with an illumination module, a gray-scale image and at least two single-color images are recorded, and the image data is corrected with the help of a brightness function of the illumination module which is dependent on a line position of the line array and/or a distance of recorded objects. The brightness function is determined for the illumination module in advance and independent of the line camera and is stored in the illumination module, and the brightness function is read out by the line camera and used for the respective correction of the gray-scale image and the single-color images.

Abstract: An optoelectronic sensor for detecting objects in a monitored zone is provided, wherein the sensor comprises a laser scanner having a deflection unit rotatable about an axis of rotation for scanning the monitored zone with at least one scanning beam; a first distance measurement unit for determining 3D measurement points of the respective objects impacted by the scanning beam using a time-of-flight method; a panorama camera having a panorama optics and having an image sensor with a plurality of light reception elements for detecting picture elements; and a control and evaluation unit that is configured to fuse the 3D measurement points and the picture elements. In this respect, the optical axis of the panorama camera and the rotation axis coincide.

Abstract: A method of reading an optical code is provided in which an image having the code is recorded, a first brightness adaptation of the image is carried out, a region of interest having the optical code is localized in the image, and the optical code in the region of interest is read. In this respect, the first brightness adaptation is a local brightness adaptation that is carried out in partial regions of the image still while further sections of the image are read; and the localization of the region of interest is based on image information of the image already processed by the first brightness adaptation.

Abstract: A camera device is provided that has an image sensor having a plurality of pixel elements for recording image data of an object stream of objects moving in a direction of movement relative to the camera device and a control and evaluation unit that is configured to read and further process the image data from the image sensor, wherein the image sensor is configured as a high frequency binary image sensor that generates individual images of low bit depth at a high frame rate, In this respect, the control and evaluation unit is configured to trigger a plurality of repeated shots of individual images of the image sensor and to combine the individual images while compensating the movement of the object stream between the shots to form a common image.

Abstract: A camera device is provided that has an image sensor having a plurality of pixel elements for recording image data of an object stream of objects moving in a direction of movement relative to the camera device and a control and evaluation unit that is configured to read and further process the image data from the image sensor, wherein the image sensor is configured as a high frequency binary image sensor that generates individual images of low bit depth at a high frame rate, In this respect, the control and evaluation unit is configured to trigger a plurality of repeated shots of individual images of the image sensor and to combine the individual images while compensating the movement of the object stream between the shots to form a common image.

Abstract: A camera is provided for recognizing flashes that has an image sensor having a plurality of pixel elements for generating image information and a control and evaluation unit that is configured to read and evaluate image information from the image sensor as to whether a flash has been detected with the image information. In this respect, the image sensor is an event-based image sensor and the control and evaluation unit is configured to read and evaluate events as image information.

Abstract: A camera (10) for detecting objects (48) moving relative to the camera (10) in a direction of movement (50), comprising an image sensor (18) for recording image data of the objects (48) in a camera field of view (14, 56), an optoelectronic distance sensor (24) using a time-of-flight method having a plurality of measurement zones (30a) for measuring a plurality of distance values to the objects (48) in a distance measurement field of view (58), and a control and evaluation unit (38) configured to find, by measuring distance values over a configuration time and evaluating the distance values and/or their change, a region where objects (48) move, and to automatically set a region of interest (60) for the distance sensor (24) within the distance measurement field of view (58) by determining an object region as the region where objects (48) move.

Abstract: A method of reading an optical code (20) is provided in which image data with the code (20) are recorded by an image sensor (24), a first processing unit (30) reads the image data from the image sensor (24) and generates metadata with respect to the image data and/or to the code (20) in the course of a pre-processing of the image data, and a second processing unit (32) reads the code (20) after the pre-processing by the first processing unit (30), The second processing unit (32) reads the code (20) solely from the metadata without making use of the image data.

Abstract: A method for reading a one-dimensional optical code, wherein image data including the code are captured and a plurality of grayscale value profiles through the code are obtained from the image data, a black-and-white profile is formed from the grayscale value profiles by binarization, and the code content of the code is read from the black-and-white profile, wherein, for preparing the binarization, a sharpened grayscale value profile is first generated from the plurality of grayscale value profiles, the sharpened grayscale value profile having, as compared to the original image data, increased resolution, sharper edges, and more pronounced extrema, and the sharpened grayscale value profile is binarized to form the black-and-white profile.

Abstract: A method of determining the module size of an optical code (20) is specified in which image data having the code (20) are recorded and the module size is estimated from distances between light-dark transitions in the image data, At least one frequency distribution, in particular a histogram, is formed that indicates how often dark and/or light pixel sequences of a respective number occur along at least one line through the code (20) and the module size is estimated from the frequency distribution.