Determining a module size of an optical code

    公开(公告)号:US11182578B2

    公开(公告)日:2021-11-23

    申请号:US17009962

    申请日:2020-09-02

    Applicant: SICK AG

    Abstract: A method for determining a module size of an optical code (20), wherein image data with the code (20) are detected, a brightness distribution is determined from the image data, and the module size is determined from the brightness distribution. The brightness distribution for example is a greyscale histogram.

    Reading optical codes
    2.
    发明授权

    公开(公告)号:US12093780B2

    公开(公告)日:2024-09-17

    申请号:US18121502

    申请日:2023-03-14

    Applicant: SICK AG

    CPC classification number: G06K7/1473 G06K7/1417 H03M13/096

    Abstract: A method is proposed of reading an optical code that encodes a message that has a character chain having a plurality of characters, said method comprising the steps: recording image data having the optical code; evaluating the image data with a reading of the optical code; comparing the read characters of the message with a scheme that contains a fixed character for at least one position of the message that is expected at this position in codes to be read; and recognizing an incorrectly read message and/or correcting the read message with reference to the comparison with the scheme. The scheme contains a variable character that is expected at this position in codes to be read for at least one position of the message, with a variable character being set to a partial range of the possible characters, but not to a fixed character.

    Method of automatically setting up a code reading device and camera-based code reading device

    公开(公告)号:US11922263B2

    公开(公告)日:2024-03-05

    申请号:US17869180

    申请日:2022-07-20

    Applicant: Sick AG

    Inventor: Pascal Schüler

    CPC classification number: G06K7/10851 G06K7/10752 G06K7/1443

    Abstract: A method of automatically setting up a code reading device that has an image sensor and a control and evaluation unit, wherein an example image of an example object arranged in the field of view of the image sensor and having an example code is recorded by the image sensor and at least one recording parameter and/or at least one decoding parameter for the operation of the code reading device is set with reference to an evaluation of the example image. In this respect, further example images are generated from the example image by calculational variation and the at least one recording parameter and/or the at least one decoding parameter is/are set with reference to an evaluation of the further example images.

    Code reader and method for reading of optical codes

    公开(公告)号:US11170191B2

    公开(公告)日:2021-11-09

    申请号:US17075516

    申请日:2020-10-20

    Applicant: SICK AG

    Abstract: A code reader for the reading of optical codes is provided that has an image sensor for the detection of image data with the code and that has a control and evaluation unit that is configured to read the code with at least one decoding method, wherein the control and evaluation unit is connected to a distance sensor that determines a distance value for the distance of the code. The control and evaluation unit is further configured for the purpose of setting at least one parameter and/or including at least one additional algorithm of the decoding method for the decoding method in dependence on the distance value.

    Optoelectronic code reader and method for reading optical codes

    公开(公告)号:US11176454B2

    公开(公告)日:2021-11-16

    申请号:US15977090

    申请日:2018-05-11

    Applicant: SICK AG

    Inventor: Pascal Schüler

    Abstract: An optoelectronic code reader (10) having at least one light receiving element (24) for generating image data from reception light and an evaluation unit (26) with a classifier (30) being implemented in the evaluation unit (26) for assigning code information to code regions (20) of the image date, wherein the classifier (30) is configured for machine learning and is trained by means of supervised learning based on codes read by a classic decoder (28) which does not make use of methods of machine learning.

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