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EP3539091B1 - Vorrichtung und verfahren zur klassifizierung von wertdokumenten, insbesondere banknoten, sowie wertdokumentbearbeitungssystem - Google Patents

Vorrichtung und verfahren zur klassifizierung von wertdokumenten, insbesondere banknoten, sowie wertdokumentbearbeitungssystem Download PDF

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Publication number
EP3539091B1
EP3539091B1 EP17811848.5A EP17811848A EP3539091B1 EP 3539091 B1 EP3539091 B1 EP 3539091B1 EP 17811848 A EP17811848 A EP 17811848A EP 3539091 B1 EP3539091 B1 EP 3539091B1
Authority
EP
European Patent Office
Prior art keywords
value document
sensor
sensor data
value
document
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
EP17811848.5A
Other languages
German (de)
English (en)
French (fr)
Other versions
EP3539091A1 (de
Inventor
Holger Trumpfheller
Steffen Schmalz
Norbert Holl
Wolfgang RÖHRL
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.)
Giesecke and Devrient Currency Technology GmbH
Original Assignee
Giesecke and Devrient Currency Technology GmbH
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Giesecke and Devrient Currency Technology GmbH filed Critical Giesecke and Devrient Currency Technology GmbH
Publication of EP3539091A1 publication Critical patent/EP3539091A1/de
Application granted granted Critical
Publication of EP3539091B1 publication Critical patent/EP3539091B1/de
Active legal-status Critical Current
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Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
    • G07D7/12—Visible light, infrared or ultraviolet radiation
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
    • B65H31/00—Pile receivers
    • B65H31/24—Pile receivers multiple or compartmented, e.d. for alternate, programmed, or selective filling
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
    • B65H43/00—Use of control, checking, or safety devices, e.g. automatic devices comprising an element for sensing a variable
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D11/00—Devices accepting coins; Devices accepting, dispensing, sorting or counting valuable papers
    • G07D11/50—Sorting or counting valuable papers
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/02—Testing electrical properties of the materials thereof
    • G07D7/026—Testing electrical properties of the materials thereof using capacitive sensors
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/04—Testing magnetic properties of the materials thereof, e.g. by detection of magnetic imprint
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D2207/00—Paper-money testing devices
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D2211/00—Paper-money handling devices

Definitions

  • the invention relates to a device and a method for classifying documents of value and a document processing system of value with such a device.
  • the JP 2004 355261 A shows an image detector for paper currency.
  • the WO 98/40839 A2 shows an automatic document processing system that utilizes full screen scanning.
  • the DE 10 2009 057 348 A1 discloses a method and apparatus for validating bank notes.
  • a device for classifying documents of value, in particular banknotes, which has at least two sensor devices which are set up to generate waves, in particular electromagnetic waves, which are reflected on a front side and on a rear side of a document of value Waves, to detect and to generate corresponding sensor data or to detect properties of the value document in at least two different regions of the value document by means of different measurement principles and to generate corresponding sensor data.
  • At least one evaluation device is set up to use the sensor data generated by the at least two sensor devices that relate to the waves reflected on the front and back of the document of value or to the properties of the document of value recorded in the at least two different regions of the document of value by means of different measurement principles. to classify.
  • the value document processing system has: a device according to the invention for classifying documents of value and a sorting device which has different sorting compartments and is set up to output the value documents into the different sorting compartments as a function of the classification made using the sensor data.
  • the inventive method for classifying documents of value has the following steps: detecting waves, in particular electromagnetic waves, reflected on a front and back of a document of value, and generating corresponding sensor data or detecting properties of the document of value in at least two different regions of the document of value by means of different measurement principles and generating corresponding sensor data; Classifying the value document on the basis of the generated sensor data, which the waves reflected on the front and back of the value document or those in the at least two different regions of the value document by means of different measurement principles affect properties of the document of value.
  • One aspect of the invention is based on the approach of combining sensor data from several sensor devices in an evaluation device, evaluating the merged sensor data in the evaluation device and classifying the value document according to the result of the evaluation of the merged sensor data.
  • the merged sensor data are raw data that are generated by the sensor devices when they detect waves that are reflected, in particular electromagnetic, waves on the front and back of the document of value.
  • the merged sensor data are raw data that are generated by the sensor devices when they detect properties of the value document in at least two different regions of the value document using different measurement principles.
  • the raw data generated by the various sensor devices can be directly linked to one another, for example correlated, when classifying the value document, which allows a particularly reliable classification.
  • dependencies of the sensor data can be recognized and redundant evaluations, for example in separate processor units, can be avoided. Due to the merging of the sensor data from different sensor devices in one evaluation device, one can also speak of a fusion or amalgamation of the different sensor data or raw data. Since the sensor data of the multiple sensor devices required for a classification of a document of value are present in the respective evaluation device, sensor data can also be copied over or results of a preliminary evaluation of the sensor data can be forwarded to further evaluation devices be waived. This makes the classification particularly efficient.
  • Sensor data or raw data in the context of the invention relate to the signals generated by a sensor device, which are generated when a property of a value document is detected.
  • Sensor data thus represent, for example, the reflection and / or transmission behavior of the value document with regard to electromagnetic waves or ultrasonic waves, the electrical conductivity, dielectric or magnetic properties of the value document or at least certain regions of the value document.
  • the evaluation device has a memory unit for data storage and a control device is provided which is set up to write the sensor data generated by the at least two sensor devices into the memory unit of the at least one evaluation device.
  • the at least one evaluation device can access the sensor data of all sensor devices at any time and link the sensor data accordingly, so that the classification of the value document based thereon is particularly reliable.
  • current sensor data from the at least two sensor devices are always present in the memory unit, so that the at least one evaluation device can easily classify the value document using the current sensor data.
  • the control device is preferably set up to write the sensor data of the at least two sensor devices into the memory unit independently of one another, so that the sensor data can be processed more efficiently. If the sensor devices generate the sensor data, for example, with different clock rates, in particular because the detection of the properties of the document of value is based on different measurement principles and / or the size of different regions in which the properties are detected vary, the sensor data of a sensor device are more often with a higher clock rate , in particular with the higher clock rate, written into the memory device than the sensor data of another sensor device with a lower clock rate.
  • At least two evaluation devices are provided, each of which has a memory unit.
  • the control device is set up to write the sensor data generated by the at least two sensor devices into each memory unit of the at least two evaluation devices. This ensures that each evaluation device has access to current sensor data from all sensor devices, preferably at any time, and that these sensor data can be linked so that the classification based thereon is particularly precise, i.e. reliable.
  • each of the at least two sensor devices is assigned an evaluation device.
  • each of the evaluation devices is set up to carry out a classification with regard to a given class, in particular using a given algorithm, the classification with regard to the given class advantageously being based on sensor data from the sensor device which the respective Evaluation device is assigned.
  • a class within the meaning of the invention relates to a feature of value documents, such as denomination, authenticity or condition.
  • a value document can be classified particularly reliably with respect to its denomination by sensor data of a sensor device that detects optical properties of the value document, while a value document can be classified particularly reliably with respect to its authenticity by sensor data of a sensor device that detects magnetic and / or electrical properties of the value document .
  • each sensor device is assigned an evaluation device, the value documents can be classified with respect to different classes at the same time on the basis of the respective advantageous sensor data.
  • the evaluation devices here also have access to other sensor data from other sensor devices, the respectively advantageous sensor data can additionally be linked to other sensor data. This makes the classification even more reliable.
  • the evaluation devices are preferably set up to classify a document of value with respect to several classes by means of appropriate algorithms.
  • an evaluation device can, for example, after classifying the document of value with regard to a class, for example on the basis of sensor data from the sensor device assigned to this evaluation device, carry out a further classification with regard to a further class. This is possible since the sensor data of other, in particular all other, sensor devices are available to each evaluation device. This prevents evaluation devices that have carried out a classification particularly quickly from going into an idle state. Classifications of value documents are thus particularly efficient.
  • the sensor devices which are designed to detect the electromagnetic waves reflected from the front and back of the value document, have a first image sensor and a second image sensor.
  • the first image sensor is preferably set up to capture a remission image of the front side of the document of value and to generate corresponding first image sensor data.
  • the second image sensor is preferably set up to capture a remission image of the back of the document of value and to generate corresponding second image sensor data.
  • the evaluation device is set up to classify the value document on the basis of the first image sensor data and the second image sensor data.
  • the evaluation device is therefore preferably set up to determine the denomination of the value document on the basis of the first image sensor data and the second image sensor data.
  • the first image sensor and the second image sensor are preferably designed as a photodiode, CCD or CMOS sensor array.
  • the evaluation device is set up to check the authenticity of the value document on the basis of the sensor data generated by the at least two different sensor types that relate to properties of the value document recorded in the at least two different regions of the value document or to classify the value document accordingly .
  • This is particularly advantageous if different regions of the value document have different security features, which are particularly determined by the respective sensor type can be reliably recorded.
  • reflected and / or transmitted electromagnetic waves can be detected by an optical sensor, for example an image sensor, in a region of the value document which has an optical security feature, for example a predetermined pattern.
  • the thickness of the value document can be detected using a spatially resolving ultrasonic sensor.
  • the magnetic field strength can, however, be detected using a magnetic sensor, for example a Hall probe.
  • a dielectric constant or a conductivity can be determined using a dielectric sensor, for example a capacitor.
  • Figure 1 shows an example of a device 1 for classifying documents of value with a first sensor device 2, a second sensor device 3, a first evaluation device 4, a second evaluation device 5 and a control device 6.
  • the first sensor device 2 and the second sensor device 3 are set up to detect properties of a value document, for example the transmission and / or reflectivity of the value document with respect to electromagnetic waves or ultrasonic waves, magnetic or dielectric properties of the value document, and in corresponding sensor data 8, so-called raw data to convert.
  • the sensor devices 2, 3 are designed accordingly, for example, as optical sensors, in particular image sensors, piezoelectric ultrasonic sensors, Hall probes or capacitors.
  • the first and / or second sensor device 2, 3 can preferably detect the properties of the value document in a spatially resolved manner.
  • the sensor devices 2, 3 or at least some of the sensor devices 2, 3 preferably each have a one- or two-dimensional array of sensors, for example semiconductor detectors for detecting electromagnetic waves or piezoelectric elements for detecting ultrasound.
  • the sensor devices 2, 3 can be set up to scan the value document or at least one region of the value document while the value document and the respective sensor device 2, 3 are moved relative to one another.
  • the sensor data 8 generated in each case by the sensor devices 2, 3 are stored by the control device 6 in a first memory device 9 of first evaluation device 4 and written into a second memory device 10 of the second evaluation device 5, which is indicated by the arrows.
  • the control device 6 controls the data flow in such a way that the sensor data 8 of both sensor devices 2, 3 are written into each of the memory units 9, 10 of the evaluation devices 4, 5, so that each of the evaluation devices 4, 5 has direct access to the two sensor devices 2, 3 generated sensor data 8 has.
  • each of the evaluation devices 4, 5 has the option of classifying a value document not only on the basis of the raw data generated by just one sensor device 2 or 3, but also of taking into account the raw data generated by the other sensor device 3 or 2, e.g. by appropriately linking the raw data.
  • the results 11 of the classification carried out in the evaluation devices 4, 5, which preferably relate to different classes, are transmitted to a central entity 7.
  • the first evaluation device 4 can be set up to classify the value document with regard to its denomination, while the second evaluation device 5 can be set up to classify the value document with regard to its authenticity.
  • the central instance 7 is preferably set up to control further processing, in particular sorting, of the value document in accordance with the results 11 of the classification. For example, all value documents of a first denomination that have been classified as genuine are output in a first container, while all value documents of a second denomination that have been classified as genuine are output in a second container, etc.
  • central instance 7 only needs one result 11 with regard to a class, for example because documents of value should only be sorted with regard to their denomination regardless of their authenticity or quality, it is also possible to dispense with evaluation devices, for example the second evaluation destruction 5 .
  • Figure 2 shows an example of a front side 12 and a rear side 13 of a document of value 14 in a schematic representation to illustrate an advantageous application of the in FIG Figure 1 device 1 shown, for example in the separation of denominations.
  • the first and second sensor devices 2, 3 detect reflected, in particular remitted, electromagnetic waves on the front side 12 or the rear side 13 and generate corresponding first and second image sensor signals.
  • the first sensor device is preferably configured to detect electromagnetic waves reflected in a first area 15 of the front side 12, while the second sensor device is configured to receive electromagnetic waves reflected in a second area 16 and / or a third area 17 of the rear side 13 to capture.
  • the first and second sensor devices can be designed as image sensors, in particular as cameras, which capture the corresponding areas 15-17.
  • the first image sensor can also be designed to optically capture the entire front side 12 of the document of value 14 and to generate first image sensor data only on the basis of reflected electromagnetic waves captured in the first area 15.
  • the second image sensor can be designed to optically detect the entire rear side 13 of the document of value 14 and only to generate second image sensor data based on reflected electromagnetic waves detected in the second area 16 and in the third area 17.
  • the position and / or size of the first, second and / or third area 15-17 is preferably selected so that there the value document has reflective properties which are characteristic of the denomination of the value document 14.
  • the print image of the document of value 14 has certain features 15'-17 'in the areas 15-17, in particular in the form of a number and / or a pattern, on the basis of which the denomination of the document of value 14 can be determined, for example whether it is a 5 or 10 euro banknotes.
  • the first and second sensor data are image sensor data which - as in connection with Figure 1 already explained in more detail - written together in the storage device 9 of the first evaluation device 4 and linked there with one another in the classification of the value document 14.
  • the classification of the value document 14 with regard to the denominations can be carried out solely by the first evaluation device 4.
  • the value document 14 can be classified in the first evaluation device on the basis of combined image sensor data, only one result of the classification, ie the denomination of the value document 14, needs to be transmitted to the central entity 7. Furthermore, in this case, the second evaluation device 5 for classifying the document of value 14 with regard to its denomination can be saved or used for a classification with regard to another class, such as, for example, soiling.
  • Figure 3 shows an example of a value document 14, the properties of which are recorded with different types of sensors in different areas 15-17.
  • the properties are recorded with three different types of sensors in three different areas of the value document.
  • only two or more than three different types of sensors can be used.
  • the different types of sensors detect properties of the document of value 14 using different measurement principles.
  • it can be an image sensor, for example a camera, a dielectric or capacitive sensor, for example a capacitor, and an ultrasonic sensor, for example an array of piezoelectric elements.
  • the sensors are preferably set up to detect the relevant properties of the document of value 14 in a spatially resolved manner, so that the correspondingly generated sensor data each correspond to an optical, capacitive or ultrasonic image of the three different areas 15-17.
  • the image sensor preferably detects an optical security feature 15 ′′ of the value document 14 in the first area 15, for example a predetermined pattern.
  • the dielectric or capacitive sensor detects in the second area 16 a dielectric security feature 16 ′′ of the value document 14, for example a dielectric constant of a security strip.
  • the ultrasonic sensor detects a security feature 17 ′′ of the value document 14 that can only be detected by means of ultrasonic waves, for example a varying thickness of the value document 14.
  • the sensor signals generated by the three different sensor types are written, for example, into the first memory device 9 of the first evaluation device 4 (see FIG Figure 1 , a third sensor device or a third sensor type is not shown there for reasons of clarity). As a result, they can be combined or jointly evaluated by the first evaluation device 4 in order to efficiently and reliably classify or check the value document 14 with regard to authenticity.
  • the first evaluation device 4 can be designed to evaluate the image points of the images corresponding to the three different areas 15-17 with respect to one or more, in particular three, threshold values.
  • the value document 14 is classified in the first evaluation device 4 on the basis of merged sensor data, only one result of the classification, in the present example with regard to authenticity, of the value document 14 needs to be transmitted to the central entity 7.
  • the instance 7 itself no longer needs to carry out any classification, but only controls the further processing, in particular sorting, of the value document depending on the determined class.
  • a second evaluation device 5 or any other evaluation devices (in Figure 1 not shown) to classify the document of value 14 with regard to authenticity can be saved or used for classification with regard to another class, such as damage, soiling or limpness.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Inspection Of Paper Currency And Valuable Securities (AREA)
EP17811848.5A 2016-11-11 2017-11-08 Vorrichtung und verfahren zur klassifizierung von wertdokumenten, insbesondere banknoten, sowie wertdokumentbearbeitungssystem Active EP3539091B1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102016013515.8A DE102016013515A1 (de) 2016-11-11 2016-11-11 Vorrichtung und Verfahren zur Klassifizierung von Wertdokumenten, insbesondere Banknoten, sowie Wertdokumentbearbeitungssystem
PCT/EP2017/001302 WO2018086738A1 (de) 2016-11-11 2017-11-08 Vorrichtung und verfahren zur klassifizierung von wertdokumenten, insbesondere banknoten, sowie wertdokumentbearbeitungssystem

Publications (2)

Publication Number Publication Date
EP3539091A1 EP3539091A1 (de) 2019-09-18
EP3539091B1 true EP3539091B1 (de) 2021-01-13

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Application Number Title Priority Date Filing Date
EP17811848.5A Active EP3539091B1 (de) 2016-11-11 2017-11-08 Vorrichtung und verfahren zur klassifizierung von wertdokumenten, insbesondere banknoten, sowie wertdokumentbearbeitungssystem

Country Status (6)

Country Link
US (1) US11610449B2 (ru)
EP (1) EP3539091B1 (ru)
CN (1) CN109906473B (ru)
DE (1) DE102016013515A1 (ru)
RU (1) RU2721843C1 (ru)
WO (1) WO2018086738A1 (ru)

Families Citing this family (1)

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Publication number Priority date Publication date Assignee Title
CN110610575B (zh) 2019-09-20 2021-09-07 北京百度网讯科技有限公司 硬币识别方法及装置、收银机

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US6311819B1 (en) * 1996-05-29 2001-11-06 Cummins-Allison Corp. Method and apparatus for document processing
US6363164B1 (en) * 1996-05-13 2002-03-26 Cummins-Allison Corp. Automated document processing system using full image scanning
JP4334910B2 (ja) 2003-05-28 2009-09-30 ローレル精機株式会社 紙幣画像検出装置
US8331643B2 (en) * 2007-07-17 2012-12-11 Cummins-Allison Corp. Currency bill sensor arrangement
DE102009057348A1 (de) 2008-12-12 2010-06-17 Giesecke & Devrient Gmbh Verfahren und Vorrichtung zur Prüfung von Banknoten
CN102147941B (zh) * 2011-02-28 2013-06-12 浙江大学 基于太赫兹时域光谱的人民币可选多特征点透射鉴真方法
US9141876B1 (en) * 2013-02-22 2015-09-22 Cummins-Allison Corp. Apparatus and system for processing currency bills and financial documents and method for using the same
DE102013021655A1 (de) 2013-12-18 2015-06-18 Giesecke & Devrient Gmbh Verfahren und Vorrichtung zur Bearbeitung von Wertdokumenten
DE102016004353A1 (de) * 2016-04-11 2017-10-12 Giesecke & Devrient Gmbh Vorrichtung und Verfahren zur Prüfung von Wertdokumenten, insbesondere Banknoten, sowie Wertdokumentbearbeitungssystem

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Publication number Publication date
DE102016013515A1 (de) 2018-05-17
US20190266826A1 (en) 2019-08-29
RU2721843C1 (ru) 2020-05-25
CN109906473A (zh) 2019-06-18
CN109906473B (zh) 2021-09-07
WO2018086738A1 (de) 2018-05-17
EP3539091A1 (de) 2019-09-18
US11610449B2 (en) 2023-03-21

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