EP0824735A2 - Dispositif et procede pour le traitement d'objets sous forme de feuilles tels que des billets de banque - Google Patents

Dispositif et procede pour le traitement d'objets sous forme de feuilles tels que des billets de banque

Info

Publication number
EP0824735A2
EP0824735A2 EP96919717A EP96919717A EP0824735A2 EP 0824735 A2 EP0824735 A2 EP 0824735A2 EP 96919717 A EP96919717 A EP 96919717A EP 96919717 A EP96919717 A EP 96919717A EP 0824735 A2 EP0824735 A2 EP 0824735A2
Authority
EP
European Patent Office
Prior art keywords
class
classes
data
unit
rule
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.)
Granted
Application number
EP96919717A
Other languages
German (de)
English (en)
Other versions
EP0824735B1 (fr
Inventor
Paul Dr. Smith
Walter Herrmann
Bernd Dr. Wunderer
Dieter Stein
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 GmbH
Original Assignee
Giesecke and Devrient 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 GmbH filed Critical Giesecke and Devrient GmbH
Priority to EP01120428A priority Critical patent/EP1168252A3/fr
Publication of EP0824735A2 publication Critical patent/EP0824735A2/fr
Application granted granted Critical
Publication of EP0824735B1 publication Critical patent/EP0824735B1/fr
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36—Sorting apparatus characterised by the means used for distribution
    • B07C5/361—Processing or control devices therefor, e.g. escort memory
    • 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
    • G07D11/20—Controlling or monitoring the operation of devices; Data handling
    • G07D11/22—Means for sensing or detection
    • 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
    • G07D11/20—Controlling or monitoring the operation of devices; Data handling
    • G07D11/22—Means for sensing or detection
    • G07D11/235—Means for sensing or detection for monitoring or indicating operating conditions; for detecting malfunctions
    • 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
    • G07D11/20—Controlling or monitoring the operation of devices; Data handling
    • G07D11/22—Means for sensing or detection
    • G07D11/235—Means for sensing or detection for monitoring or indicating operating conditions; for detecting malfunctions
    • G07D11/237—Means for sensing or detection for monitoring or indicating operating conditions; for detecting malfunctions for detecting transport malfunctions, e.g. jams or misfeeds
    • 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
    • G07D11/40—Device architecture, e.g. modular construction
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S209/00—Classifying, separating, and assorting solids
    • Y10S209/938—Illuminating means facilitating visual inspection

Definitions

  • the invention relates to an apparatus and a method for processing sheet material, such as. B. banknotes.
  • DE 2760166 shows such a device which is constructed from various units.
  • a separating device the sheet material present in a stack is separated sheet by sheet and transferred to a transport path which transports the separated sheet material through the device.
  • a plurality of sensor units are attached along the transport path, with each sensor unit detecting certain features of the sheet material and combining them into a measurement result.
  • the structure of the sensor units used here is shown in DE-PS 2760 165.
  • Each sensor unit has a transducer which detects certain features of the sheet material and converts it into an electrical signal. This signal is converted in a signal processing stage. In general, the mostly analog signal is converted into digital measurement data here. The measurement data are then finally transformed into an evaluation unit in the sensor unit
  • the central memory is used as a connection for data exchange between the units of the device. All units can access it and write or read the data necessary for processing the sheet material. A data record is stored in the central memory for several sheets.
  • evaluation information is first generated in a central evaluation unit.
  • the target units for the sheet material in question are determined from the evaluation information using the stored decision table.
  • the target units can be, for example, stackers for stacking the sheet material or shredders for destroying the sheet material.
  • the target units for the corresponding sheet material are stored in the central memory. On the basis of the stored target unit, the sheet material is appropriately guided and deposited by the transport unit. After the sheet material has been transported to the target unit, the transport unit writes positive or negative information about the output of the processing to the central memory.
  • the machining process in the device is controlled by means of a control unit.
  • This too has access to the central memory and can monitor and log the processing operation on the basis of the information stored there.
  • the control unit serves to initialize the units of the device depending on an operating mode set by the operator. This includes, for example, storing the correct decision table for the selected operating mode in the central evaluation unit.
  • each sensor unit can only derive its measurement result from the measurement data of the sheet material that it has recorded.
  • the object of the invention is to propose a device for processing sheet material which enables the
  • the basic idea of the invention essentially consists in using data from other sensor units about the corresponding sheet material when deriving a measurement result from a sensor unit.
  • a memory is provided in at least one sensor unit, in which data records of several sheets can be managed. Areas are provided in each of these data sets in which data from at least one other sensor unit can be stored.
  • the sensor unit has data from other sensor units available that it can take into account when deriving its own measurement result. By knowing these data, the sensor unit is able to derive its measurement result faster and more accurately from these data.
  • the sensor unit preferably has a measuring unit and an evaluation unit, the memory of the sensor unit being provided in the evaluation unit. Furthermore, the measurement results of the sensor unit are not restricted to a yes / no statement, but rather are provided with a higher information content.
  • the measurement results can be, for example, the length or the width of the sheet material in mm, a measure for the contamination or the correspondence of the printed image with a reference image, the distance of a metal thread from the leading edge of the sheet material, an identification number for the type or position of the sheet material or the like to be.
  • FIG. 1 is a schematic diagram of an embodiment of the invention
  • Fig. 2 representation of the memory content in the evaluation unit
  • FIG. 13 representation of the resulting membership functions.
  • Fig. 1 shows a schematic diagram of an embodiment of the invention.
  • the sheet material is separated from a stack sheet by sheet in a separating unit and transferred to a transport path which transports the sheets through the device and is controlled by a transport unit 30.
  • the transport route is divided into individual sections, each of which is controlled by decentralized subunits 30.1-30.M of the transport unit 30.
  • an identification ID is assigned to each sheet, by means of which the sheet is uniquely recognized by the units of the device.
  • the data required for processing a sheet are exchanged using a connection 100 using the identification ID of the sheet.
  • the connection 100 connects both the subunits 30.1-30.M and also a central evaluation unit 10, a plurality of sensor units 20.1-20.N and a control unit 40.
  • the sensor units 20.1-20.N each consist of a measuring unit 21.1-21N and an evaluation unit 22.1-22N.
  • Each measuring unit 21. N has a measuring sensor which detects certain features of the sheet material and converts them into electrical signals. These electrical signals are then converted into digital measurement data and can optionally be standardized and / or transformed before further processing.
  • the evaluation unit 22.n of the sensor 20.n receives the measurement data from the measurement unit 21.n and derives a measurement result using the measurement data.
  • a memory is provided in at least one evaluation unit 22n, the content of which is shown in FIG. 2.
  • the evaluation unit 22.2 was selected here as an example. Several data sets can be managed in the memory of the evaluation unit 22.2. Each record is a sheet of a particular agreed identification ID assigned. The memory shown here is able to manage a number L of data records.
  • Each data record has an area for external data ED.
  • Either measurement data MD or measurement results ME of other sensor units are stored in it. 2
  • the measurement data MD of the sensor unit 20.3 and the measurement results of the sensor unit 20.1 are stored in each data record.
  • the measurement data MD supplied by the measuring unit 21.2 for each sheet are also stored in the memory of the evaluation unit 22.2.
  • the evaluation unit 22.2 derives a corresponding measurement result ME for each sheet, which can optionally be stored in the corresponding data set.
  • the measurement result for a sheet is determined, this is written onto the data line 100 with the corresponding identification ID of the sheet. If necessary, the measurement result can now be read by other sensor units and stored in the memory of the evaluation unit of this serisor unit. If it is necessary to know certain measurement data from one sensor to derive the measurement result from another sensor unit, the latter must also write the corresponding measurement data onto the data line 100 so that it can read the other sensor unit. Alternatively, the measurement data can also be written only after receipt of a corresponding signal from the other sensor unit. Furthermore, the device has a central evaluation unit 10 with a memory, the content of which is shown in FIG. 3.
  • the central evaluation unit 10 reads the measurement results of all sensor units 20.1-20.N from the data line 100 and stores them under the identification ID of the corresponding sheet. If the measurement results of all sensor units are known for an identification ID, the central evaluation unit 10 derives a sorting class KL for the corresponding sheet material from the measurement results and writes the identification ID and the associated sorting class KL on the data line 100 Sorting class KL can be saved in the memory under the corresponding identification of the sheet.
  • the sorting class KL is evaluated by the subunits of the transport unit, which control the transport of the sheet into the target unit. If the corresponding subunit 30.m is not responsible for processing the sheet, it is forwarded to the subsequent subunit 30.m + l. In the other case, the sheet is guided to the corresponding manipulators of the subunit 30.m and processed. After the sheet material has been processed, the processing unit writes corresponding positive or negative information about the completion of the processing on the data line 100. This information is read, for example, by the control unit 40 and used in the logging of the machining process.
  • each subunit 30.m can write error messages on the data line if, for example, a sheet jam occurs in the transport system of the subunit 30.m. These error messages can be interpreted by other units of the device and appropriate measures can be initiated.
  • the subunits 30.m are preferably designed such that they control the electrical and mechanical functions of the transport route. For this count among other things the drive of the transport route, the switching of the switches within the transport route, the measurement of the position of the sheet material by means of light barriers etc. Furthermore, the sub-units 30.m can also control special electrical or mechanical manipulators within the units perform the device. This includes, for example, the control of the singling components, the stacking wheels and the shredder rollers etc.
  • the control unit 40 serves to control and log the processing operations of the sheets. It is able to send control information via data line 100, which is interpreted accordingly by the individual units. Such control information can be used, for example, to bring the device into a processing status selected by the operator. Furthermore, the control unit 40 can have special programs or reference data stored by the control unit 40 in the other units of the device via the data line 100. For this purpose, the control unit 40 has mass memories in which this data is managed.
  • control unit 40 can monitor and log the processing operation of each individual sheet. During the actual processing of the sheet material, the function of the control unit is only limited to listening to the data line 100.
  • the data line 100 is designed as a data bus.
  • a CAN bus is preferably used. This is particularly well suited for so-called real-time applications, as they are mainly available here.
  • Further data lines 101 and 102 are provided parallel to the data line 100, so that the data line 100 is relieved.
  • the data line 101 can also be implemented by means of a CAN bus and serves to improve the data exchange between the sensor units 20.1-20.N and the central evaluation unit 10. This is particularly useful if a lot of measurement data is exchanged between the sensor units 20.n, which often have a high data volume.
  • the data line 102 is used especially by the control unit 40 for so-called non-real-time applications.
  • programs or larger-scale reference data can be written into the sensor units 20 or the central evaluation unit 10.
  • a connection to the subunits 30.m can also be dispensed with, since the amounts of data transmitted there are generally small.
  • the sorting class of a sheet can be derived from the measurement results of the sensor units, for example using freely configurable tables and / or matrices which are managed in a memory of the central evaluation unit 10. During the derivation, continuous measurement results are initially mapped to classes. Discrete measurement results are assigned directly to a class. Individual classes are combined into one property of the sheet with different characteristics. By means of a rule matrix, any, but selected combinations of different forms of a set of properties can be assigned to a sorting class.
  • FIG. 4 shows a flow diagram of a first exemplary embodiment of the method according to the invention for processing sheet material, here specifically Banknotes.
  • the measurement data MD of the banknote are recorded by the sensors 20.n.
  • measurement results ME of the banknote are derived and stored in the evaluation unit 10 according to FIG. 3.
  • the measurement results ME are initially mapped to discrete classes.
  • An example of such a mapping is shown in FIG. 5.
  • the measurement result should represent the area of the banknote in mm 2 which is covered by spots. If, for example, 140 mm 2 is determined as the measurement result in a first measurement Mi, this measurement result is mapped to the class with the class identifier 4.
  • the number of classes and the location of the class boundaries can be configured as desired.
  • Classes 0 to 5 can be combined to form the "stain” property. Each class thus represents an expression of the "stain” property "," Much "etc. occupied.
  • a property vector is first formed from the classes of all properties. 6 four class vectors V_ to V are shown as an example. In each property the class is marked that corresponds to the measurement result of the banknote. With the property "stains”, the measurement result of the leaf material belonging to the class vector Vi lies, for example, in the class "little", while the measurement result of the property "dog ears” is in the class "very little".
  • the class vector thus classifies the characteristics of all the properties of a banknote.
  • the rule matrix consists of a number of rules, which are designated here with the numbers 1 to 5.
  • Each rule consists of a rule vector which, like the class vector, is formed from the classes of all properties. In contrast to the class vector, it is possible, however, for several classes of a property to be marked, for example for the property “soiling” in rules 1 to 5.
  • Each of rules 1 to 5 is assigned a sorting class, which here with the the respective sorting destination is designated “stacker 1”, “stacker 2” etc. In general, the same sorting class can also be assigned to several rules.
  • the "Shredder" sorting class is assigned all banknotes that have the correct security features and are dirty, regardless of their denomination and defects.
  • the markings of the class vector e.g. B. Vi, compared with the corresponding markings of Regelvekto ⁇ ren 1, 2, 3, 4, 5 in sequence.
  • the sorting class which is assigned to the first rule vector, which is marked in all classes of the class vector, is assigned to the sheet material as a sorting class.
  • the sheet material is assigned an arbitrary but firmly selected sorting class.
  • sorting class "stacker 2" is assigned to the sheet material for class vector Vi.
  • the sheet material for class vector V 2 is assigned the sorting class "stacker 4".
  • the sorting class "shredder” is assigned to the sheet material to class vector V3. Since the marking of no rule vector matches all the markings of class vector V 4 , any arbitrary but firmly selected sorting class is assigned to this sheet material, which is referred to as "reject" should.
  • the sorting class After the sorting class has been assigned to the sheet material, it is transported to the corresponding target unit based on the sorting class.
  • the sheets with the "Reject" sorting class are generally stacked in a so-called reject compartment, where they can then be removed from the device by the operator and inspected.
  • a security level SL is assigned to each class. It can be used to specify which users can make changes in this class.
  • the value 3 stands for the developer, 2 for the supervisor and 1 for the operator of the device. It is thus possible for the operator of the device to change the classes of the "denomination of the banknote” property while changing the properties of the group "Security features of the banknote” may only be changed by the supervisor.
  • weight G it is also possible to assign a weight G to at least certain classes. Using these weights G, the rules of the rule matrix can be checked for consistency, for example, or the sorting class derived from the rule matrix can be changed if necessary.
  • a minimum weight can now be determined for each rule from the weights of the individual classes in the group “Security features of the banknote” by adding up the weights of the individual classes of each property of the group with the lowest marked weight of the rule For the example in FIG. 6, this means that rule 1, 2 and 5 in the "Security features of the banknote” group is assigned a minimum weight of 8. For rule 3, the minimum weight is 5 and for rule 4, the minimum weight is 0.
  • the minimum weight determined in this way for each rule in the group "Security features of the banknote” thus gives a measure of the security of the banknote.
  • a high minimum weight stands for high security and a low minimum weight for low security.
  • the desired security can thus be defined by a predetermined minimum weight in the "security features of the banknote” group.
  • Such a predetermined minimum weight for the security of a fit banknote is to be determined from the weights of the property "denomination”.
  • the predetermined minimum weight of a rule in the group "Security features of the banknote” for fit banknotes results here as the maximum of the weights of the marked ones Classes of the rule in the property "Denomination”.
  • a comparison of the specified minimum weight for the security of a fit banknote according to the property "Denomination” with the weight in the group "Security features of the banknote” for each rule shows that the minimum weights for the security of a fit banknote in the rules 1, 2, 3 and 5 are greater than the minimum weights in the "Security features of the banknote” group.
  • the relation and thus the criterion for a fit banknote is only not fulfilled in rule 4.
  • the consi - should be checked for each rule.
  • the introduction of a minimum weight for each rule in the "Security features of the banknote” group creates a criterion with which even banknotes with different security features can be compared with one another. If necessary, other evaluation algorithms for the individual weights of the classes are of course also conceivable.
  • the sorting class determined with the aid of the control matrix can optionally be changed again in retrospect depending on a specific condition. Such a subsequent change can be helpful, for example, when maintaining the device or when designing the control matrix.
  • the conditions can be derived from the rule matrix, such as the minimum weight MG for a rule in the group "security features of the banknote". Furthermore, the conditions can also depend on measurement results from the sensors or the class identification of a specific measurement result All data available to the evaluation device can be used in any combination in any condition.
  • FIG. 8 A second exemplary embodiment of the method according to the invention for processing sheet material is shown in FIG. 8.
  • measurement data are first acquired by the sensors 20.n and MD measurement results ME are derived using this measurement data.
  • the measurement results ME are mapped or fuzzified to overlapping classes.
  • An example of such a mapping is shown in FIG. 9.
  • the measurement results of the sheet material can each take values between 0 and 1.
  • Each property is three overlapping classes
  • For the property "pollution” these are the classes “strong” with measurement results in the interval from 0 to 0.5, “medium” in the interval from 0 to 1 and “low” in the interval from 0.5 to 1.
  • the classes “strong”, “Medium”, “low” are used as fuzzy classes in the following.
  • Each fuzzy class is assigned a membership function shown in FIG. 9.
  • the number of overlapping fuzzy classes and the form of the various membership functions can be set as desired.
  • the functionality of the method can be optimized for the respective application by a suitable choice of the membership functions.
  • the Mi measurement is a banknote with little contamination, a relatively large number of dog ears and few stains.
  • the measurement M2 is heavier than the measurement Mi and has more dog ears. Furthermore, it shows fewer spots than the measurement Mi.
  • a rule matrix is defined by means of the fuzzy classes, which is shown in FIG. 10.
  • the possible combinations of the individual classes of the properties “pollution”, “dog's ear” and “stains” are plotted in the columns of the rule matrix.
  • the last column of the rule matrix forms a “sorting” property with three fuzzy classes, that with “stacker ",” Shredder "and” Reject ".
  • a rule 1 to 8 is plotted, which in each case assigns a possible combination of fuzzy classes of the three properties to a fuzzy class of the" sorting "property.
  • the respective value of the measurements M_ and M 2 determined in FIG. 9 is given under the respective designation of the fuzz class.
  • Rule 1 The rules of the rule matrix can be represented verbally as follows.
  • Rule 1 says that a banknote with little soiling, many dog-eared ears and little stains of the fuzzy class "reject" should be assigned a property "sorting”.
  • Rule 2 a banknote with medium soiling, many dog ears and few stains is the
  • the rule matrix is limited to 8 rules here, since no further meaningful combinations occur in the measurements Mi and M 2 . In principle, however, it is not necessary that the rule matrix rules for all possible combinations contains contains. It is sufficient if it only contains rules for relevant combinations.
  • sorting is first assigned a corresponding membership function to each fuzzy class.
  • the resulting fuzzy classes “stacker”, “shredder”, “reject” of the sorting are first derived from the fuzzy classes with their membership functions and the rule matrix using a so-called inference machine.
  • the fuzzy classes of the "sorting" property resulting from the rules are obtained by first linking, as shown in FIG. 10, the corresponding membership values of the measurement results within a rule and assigning the result to the linking of the sorting.
  • the selection of the smallest membership value was selected (sometimes framed).
  • FIG. 12 shows, for example, the fuzzy class "shredder” of the “sorting” property resulting from the corresponding rules.
  • the membership function of the fuzzy class “shredder” is generally cut off at the corresponding height in accordance with the result of the linkage.
  • FIGS. 12a and 12b show this process for the results of measurement M2 of rule 4. According to the one shown in FIG. 10
  • the rule matrix provides the
  • a discrete sorting class must be derived from the resulting fuzzy classes of the "sorting" property, or the "sorting" property must be denazified.
  • a simple possibility for such a derivation is to assign the sorting class to the sheet material whose fuzzy class has the largest area.
  • the sorting class “Reject” would be assigned to the sheet material and the sorting class “Shredder” would be assigned to the sheet material with the measured values M2.
  • a more complex method for deriving the sorting class from the resulting fuzzy classes of the “sorting” property consists, for example, of first combining the individual resulting fuzzy classes “stacker”, “shredder”, “reject” of the “sorting” property, for example by combining and to calculate the position of the center of gravity from the resulting area. By rounding this value can be mapped to a discrete sorting class.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Inspection Of Paper Currency And Valuable Securities (AREA)
  • Controlling Sheets Or Webs (AREA)
  • Basic Packing Technique (AREA)
  • Sheets, Magazines, And Separation Thereof (AREA)
  • Treatments Of Macromolecular Shaped Articles (AREA)
  • Manufacture Of Macromolecular Shaped Articles (AREA)
  • Making Paper Articles (AREA)
  • Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)

Abstract

Dans un dispositif permettant de contrôler des objets sous forme de feuilles, au moins un dispositif détecteur est pourvu d'une mémoire dans laquelle des jeux de données relatifs à plusieurs feuilles peuvent être gérés. Chaque jeu de données est pourvu de régions dans lesquelles des données provenant d'au moins une autre unité de détection peuvent être stockées. L'unité de détection comporte, de préférence, une unité de mesure et une unité d'évaluation, la mémoire de l'unité de détection se trouvant dans l'unité d'évaluation.
EP96919717A 1995-05-11 1996-05-08 Dispositif et procede pour le traitement d'objets sous forme de feuilles tels que des billets de banque Expired - Lifetime EP0824735B1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP01120428A EP1168252A3 (fr) 1995-05-11 1996-05-08 Dispositif et méthode pour traiter des feuilles, en particulier des billets de banque

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE19517347 1995-05-11
DE19517347 1995-05-11
PCT/EP1996/001930 WO1996036931A2 (fr) 1995-05-11 1996-05-08 Dispositif et procede pour le traitement d'objets sous forme de feuilles tels que des billets de banque

Related Child Applications (1)

Application Number Title Priority Date Filing Date
EP01120428A Division EP1168252A3 (fr) 1995-05-11 1996-05-08 Dispositif et méthode pour traiter des feuilles, en particulier des billets de banque

Publications (2)

Publication Number Publication Date
EP0824735A2 true EP0824735A2 (fr) 1998-02-25
EP0824735B1 EP0824735B1 (fr) 2002-03-06

Family

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Family Applications (2)

Application Number Title Priority Date Filing Date
EP01120428A Ceased EP1168252A3 (fr) 1995-05-11 1996-05-08 Dispositif et méthode pour traiter des feuilles, en particulier des billets de banque
EP96919717A Expired - Lifetime EP0824735B1 (fr) 1995-05-11 1996-05-08 Dispositif et procede pour le traitement d'objets sous forme de feuilles tels que des billets de banque

Family Applications Before (1)

Application Number Title Priority Date Filing Date
EP01120428A Ceased EP1168252A3 (fr) 1995-05-11 1996-05-08 Dispositif et méthode pour traiter des feuilles, en particulier des billets de banque

Country Status (10)

Country Link
US (2) US6074081A (fr)
EP (2) EP1168252A3 (fr)
JP (1) JPH11506555A (fr)
CN (1) CN1078724C (fr)
AT (1) ATE214182T1 (fr)
AU (1) AU5815896A (fr)
DE (2) DE19618541A1 (fr)
ES (1) ES2171685T3 (fr)
RU (1) RU2168210C2 (fr)
WO (1) WO1996036931A2 (fr)

Families Citing this family (39)

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Publication number Priority date Publication date Assignee Title
DE19646454A1 (de) * 1996-11-11 1998-05-14 Giesecke & Devrient Gmbh Verfahren zur Bearbeitung von Blattgut, wie z. B. Banknoten
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DE59608844D1 (de) 2002-04-11
CN1187894A (zh) 1998-07-15
DE19618541A1 (de) 1996-11-14
RU2168210C2 (ru) 2001-05-27
AU5815896A (en) 1996-11-29
ES2171685T3 (es) 2002-09-16
CN1078724C (zh) 2002-01-30
EP1168252A3 (fr) 2004-12-29
WO1996036931A2 (fr) 1996-11-21
ATE214182T1 (de) 2002-03-15
US6074081A (en) 2000-06-13
EP1168252A2 (fr) 2002-01-02
JPH11506555A (ja) 1999-06-08
US6151534A (en) 2000-11-21
EP0824735B1 (fr) 2002-03-06
WO1996036931A3 (fr) 1997-02-20

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