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公开(公告)号:US20230394259A1
公开(公告)日:2023-12-07
申请号:US18197916
申请日:2023-05-16
Applicant: SICK AG
Inventor: Marcel HAMPF , Romain MÜLLER , Thorsten FALK , Julian ZIMMER
CPC classification number: G06K7/10722 , G06K7/1413 , G06N20/00
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.
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公开(公告)号:US20210368096A1
公开(公告)日:2021-11-25
申请号:US17324743
申请日:2021-05-19
Applicant: SICK AG
Inventor: Jean STAWIASKI , Thorsten FALK , Johannes RHEINBOLDT
Abstract: A camera (10) comprising an image sensor (24) for capturing image data with a plurality of pixels, a first processing unit (30) for reading out the image data of the image sensor (24) in an image data stream comprising groups of adjacent pixels, a second processing unit (32) for processing the image data, and a memory (34) for storing at least one of the image data and processing results from the image data, wherein a neural network (38) is implemented on at least one of the first processing unit (30) and the second processing unit (32) and wherein the first processing unit (30) is configured to already process groups of pixels with at least a first layer (42) of the neural network while further groups of the image data are still being read out from the image sensor (24).
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公开(公告)号:US20230267293A1
公开(公告)日:2023-08-24
申请号:US18108243
申请日:2023-02-10
Applicant: SICK AG
Inventor: Pascal SCHÜLER , Christofer ROSER , Thorsten FALK , Sascha BURGHARDT , Romain MÜLLER
IPC: G06K7/14
CPC classification number: G06K7/1443 , G06K7/1413 , G06K7/1417
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.
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