EP2358601B1 - Verfahren zum ausrichten eines behälters und computerprogramm - Google Patents

Verfahren zum ausrichten eines behälters und computerprogramm Download PDF

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Publication number
EP2358601B1
EP2358601B1 EP09763831A EP09763831A EP2358601B1 EP 2358601 B1 EP2358601 B1 EP 2358601B1 EP 09763831 A EP09763831 A EP 09763831A EP 09763831 A EP09763831 A EP 09763831A EP 2358601 B1 EP2358601 B1 EP 2358601B1
Authority
EP
European Patent Office
Prior art keywords
container
image data
geometric
feature
search
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
EP09763831A
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German (de)
English (en)
French (fr)
Other versions
EP2358601A1 (de
Inventor
Jürgen Hermann
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
KHS GmbH
Original Assignee
KHS GmbH
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Filing date
Publication date
Application filed by KHS GmbH filed Critical KHS GmbH
Priority to PL09763831T priority Critical patent/PL2358601T3/pl
Publication of EP2358601A1 publication Critical patent/EP2358601A1/de
Application granted granted Critical
Publication of EP2358601B1 publication Critical patent/EP2358601B1/de
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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65CLABELLING OR TAGGING MACHINES, APPARATUS, OR PROCESSES
    • B65C9/00Details of labelling machines or apparatus
    • B65C9/06Devices for presenting articles in predetermined attitude or position at labelling station
    • B65C9/067Devices for presenting articles in predetermined attitude or position at labelling station for orienting articles having irregularities, e.g. holes, spots or markings, e.g. labels or imprints, the irregularities or markings being detected

Definitions

  • the present invention relates to a method for aligning a container. Furthermore, the present invention relates to a computer program for carrying out the method according to the invention. Such a procedure is over DE 20 2005 014456U1 or off IT M 120 072 267 A1 known.
  • the published patent application DE 10 2005 050 902 A1 a device for aligning containers with respect to at least one geometric container feature, comprising a conveyor with container receptacles for a respective container and along a transport path formed by the conveyor conveyor cameras of an image recognition system, wherein the image recognition system by comparison of the actual delivered by the cameras Image data with stored in an evaluation and control electronics target image data or characteristics causes the alignment of the container.
  • the containers are aligned by means of a geometric feature, for example by means of an embossment on the surface of the container.
  • an image is taken in the desired position of the bottle and then a respective distortion of this geometric feature is calculated for the cases in which the container is rotated by a certain angle from this desired position.
  • the images or image data thus generated are then stored as target image data and used.
  • an image of the container or of the bottle is then taken by means of a camera and the thus generated actual image is compared with the stored desired image data by means of an algorithm. It is determined with which image of the target image data is the highest match. Based on the rotation of the container or bottle deposited in the target image data for this image, it can then be rotated by the corresponding angle into the desired position.
  • a plurality of stages of such alignment processes may be provided in order to successively bring about the desired orientation or position of the container or the bottle.
  • a plurality of cameras at the same time take a picture of the bottle, which is then compared with the desired image data, wherein the alignment process is then carried out based on the best match.
  • a neural network is used, which has been taught beforehand in a learning process, what the geometric container feature used to align a container looks like in the different orientations of the container, and the one above it is able to recognize that in a search area the geometric container feature to be searched, the so-called search instance, does not exist.
  • an alignment process controlling control electronics is able to classify any other geometric container features or images in the search area to the effect that they do not represent the search instance by these so-called exclude instances are taught as such in advance.
  • control electronics in the context of the pattern identifier is able to discard certain recordings of the search area from the outset, since they do not contain the search instance.
  • pattern recognition takes place in that the control electronics classifies the actual image data on the basis of target image data as to whether they contain the geometric container feature.
  • the target image data in this case comprise the learned geometric container feature as a search entity and the further described above and also trained exclude instances.
  • the learning of the target image data takes place by first looking for the one located on a sample bottle geometric container feature, the search instance, recorded and stored.
  • the geometric container feature is then identified by a user, in particular based on its contour.
  • This training of the search entity can basically be done at the site of the procedure, ie. H. with the actually constructed filling and labeling, or off it, for example, in a laboratory.
  • the container or the bottle is rotated around itself in front of an image pickup device, with particular images of the container or the bottle being made in certain degree steps.
  • the multitude of degree steps depends in particular on how exactly the alignment should be performed during operation. If, for example, you want to align with 1 °, it is advisable to take the pictures in 1 ° increments, better in 0.5 ° increments.
  • the search instance is now cut out, if it is still found in the searched area, which can happen automatically, since the search instance has already been trained and the neural network is known.
  • the actual image data recorded by the image acquisition device is compared with the instances stored in the target image data and it is determined whether the search region contains an exclude entity or the search entity.
  • search area contains only one Exclude instance, this is displayed and the corresponding image is not used to calculate the actual position of the bottle.
  • the actual position of the container or its orientation is calculated on the basis of a perspective distortion of the geometric container feature, a known distance of the image recording device to the container during the recording and a known diameter of the container. From the difference between the actual position of the container to the desired desired position of the container, the degree and the direction in which the container is to be rotated can now be determined.
  • the present description also covers a computer program with program code to perform all the steps of a method according to the invention, when the program is executed on a computer or a corresponding computing unit.
  • the computer program may be stored on a computer-readable medium.
  • FIG. 1 shows a schematic view of an embodiment of a device according to the invention, on which the inventive method can be performed.
  • FIG. 1 shows a device 1, on which the method according to the invention can be carried out.
  • the device comprises a carousel 5, are transported into the container 2 via an inlet 3 and transported beyond a spout 4. From the labeling station 7, the containers 2 are aligned in the desired orientation for applying a label.
  • the first stage comprising the image pickup devices 8 and 9, the second stage the image pickup device 10, and the third stage the image pickup device 11.
  • Background elements 13, 14, 15 are provided for capturing high quality images. which can also be lit.
  • the alignment operation is controlled by an electronic control unit 12 which receives actual image data from the image pickup devices 8, 9, 10, 11 and can output control instructions to container receptacles 6 on which the containers 2 are arranged.
  • a learning process For commissioning and for the preparation of the alignment process, a learning process has to be carried out, in which first a search instance, ie a geometrical container feature used to align a container, is determined from a first image of a sample container identified a user and the search instance is so trained a neural network of the control electronics 12.
  • a search instance ie a geometrical container feature used to align a container
  • the corresponding target image data record can be called up by an operator. This is followed by a slow inlet of a first container or a first bottle, wherein the image recording devices 8, 9, 10, 11 are aligned so that they detect the possible positions of the search instance as accurately as possible.
  • a narrow optical evaluation range is a narrow optical evaluation range.

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  • Image Analysis (AREA)
  • Image Processing (AREA)
EP09763831A 2008-11-20 2009-11-11 Verfahren zum ausrichten eines behälters und computerprogramm Active EP2358601B1 (de)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PL09763831T PL2358601T3 (pl) 2008-11-20 2009-11-11 Sposób ustawiania pojemnika i program komputerowy

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102008059229A DE102008059229A1 (de) 2008-11-20 2008-11-20 Verfahren zum Ausrichten eines Behälters
PCT/EP2009/008025 WO2010057592A1 (de) 2008-11-20 2009-11-11 Verfahren zum ausrichten eines behälters

Publications (2)

Publication Number Publication Date
EP2358601A1 EP2358601A1 (de) 2011-08-24
EP2358601B1 true EP2358601B1 (de) 2012-09-05

Family

ID=41682749

Family Applications (1)

Application Number Title Priority Date Filing Date
EP09763831A Active EP2358601B1 (de) 2008-11-20 2009-11-11 Verfahren zum ausrichten eines behälters und computerprogramm

Country Status (6)

Country Link
EP (1) EP2358601B1 (pl)
CN (1) CN102216161B (pl)
BR (1) BRPI0916040B1 (pl)
DE (1) DE102008059229A1 (pl)
PL (1) PL2358601T3 (pl)
WO (1) WO2010057592A1 (pl)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109738621B (zh) 2012-05-14 2021-05-11 高斯外科公司 用于估计液体罐中的血液成分的量的系统和方法
DE102013109384A1 (de) * 2013-08-29 2015-03-05 Krones Ag Vorrichtung und Verfahren zum Transport von Behältern in einer Getränkeabfüllanlage
CN107229291B (zh) * 2017-06-14 2020-09-15 苏州西斯派克检测科技有限公司 一种在线视觉定位系统的同步方法
DE102020112191A1 (de) * 2020-05-06 2021-11-11 Krones Aktiengesellschaft Behälterbehandlungsmaschine und Verfahren zum Ausrichten eines Behälters in einer Behälteraufnahme einer Behälterbehandlungsmaschine
DE102021112479A1 (de) * 2021-05-12 2022-11-17 Espera-Werke Gmbh Verfahren zum Betrieb eines Etikettiersystems

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0624424A (ja) * 1992-07-02 1994-02-01 Kuwabara Yasunaga 容器向き位置合わせ方法
US6484478B1 (en) * 2000-01-24 2002-11-26 Illinois Tool Works Inc. System and method for packaging oriented containers
ITBO20020806A1 (it) * 2002-12-20 2004-06-21 Azionaria Costruzioni Acma Spa Macchina etichettatrice e/o marcatrice
DE102005041497A1 (de) * 2005-09-01 2007-03-08 Stratec Control-Systems Gmbh Verfahren und Vorrichtung zur Erkennung der Drehausrichtung von Behältern
DE202005014456U1 (de) * 2005-09-12 2007-02-01 Krones Ag Vorrichtung zum Ausrichten von Behältern
DE102005050902A1 (de) 2005-10-21 2007-05-03 Khs Ag Vorrichtung zum Ausrichten von Behältern sowie Etikettiermaschine mit einer solchen Vorrichtung
DE102006026618A1 (de) * 2006-09-02 2008-03-13 Khs Ag Verfahren zum lagegenauen Aufbringen von Etiketten sowie Etikettiermaschine
ITBO20060847A1 (it) * 2006-12-12 2008-06-13 Adriano Fusco Sistema per rilevare e ottimizzare il posizionamento angolare di contenitori in transito continuo
ITMI20072267A1 (it) * 2007-12-03 2009-06-04 Sidel Holdings & Technology Sa Sistema di rilevazione e orientamento angolare di contenitori in macchine etichettatrici

Also Published As

Publication number Publication date
PL2358601T3 (pl) 2013-02-28
DE102008059229A1 (de) 2010-06-02
EP2358601A1 (de) 2011-08-24
WO2010057592A1 (de) 2010-05-27
CN102216161A (zh) 2011-10-12
BRPI0916040B1 (pt) 2019-10-22
BRPI0916040A2 (pt) 2015-11-10
CN102216161B (zh) 2015-02-25

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