EP3111426B1 - Procédé de détermination d'un résultat de tri pour un document de valeur et moyen de mise en oeuvre du procédé - Google Patents

Procédé de détermination d'un résultat de tri pour un document de valeur et moyen de mise en oeuvre du procédé Download PDF

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Publication number
EP3111426B1
EP3111426B1 EP15707282.8A EP15707282A EP3111426B1 EP 3111426 B1 EP3111426 B1 EP 3111426B1 EP 15707282 A EP15707282 A EP 15707282A EP 3111426 B1 EP3111426 B1 EP 3111426B1
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Prior art keywords
value
classification
result
nodes
sensor data
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German (de)
English (en)
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EP3111426A1 (fr
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Paul Smith
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Giesecke and Devrient Currency Technology GmbH
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Giesecke and Devrient Currency Technology GmbH
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing 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
    • G07D7/06Testing 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
    • G07D7/12Visible light, infrared or ultraviolet radiation
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B42BOOKBINDING; ALBUMS; FILES; SPECIAL PRINTED MATTER
    • B42DBOOKS; BOOK COVERS; LOOSE LEAVES; PRINTED MATTER CHARACTERISED BY IDENTIFICATION OR SECURITY FEATURES; PRINTED MATTER OF SPECIAL FORMAT OR STYLE NOT OTHERWISE PROVIDED FOR; DEVICES FOR USE THEREWITH AND NOT OTHERWISE PROVIDED FOR; MOVABLE-STRIP WRITING OR READING APPARATUS
    • B42D25/00Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof
    • B42D25/20Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof characterised by a particular use or purpose
    • B42D25/29Securities; Bank notes
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing 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
    • G07D7/04Testing magnetic properties of the materials thereof, e.g. by detection of magnetic imprint
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing 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
    • G07D7/181Testing mechanical properties or condition, e.g. wear or tear

Definitions

  • the present invention relates to a method for determining a sorting result for a value document using sensor data for the value document, which can be or were detected by means of a value document processing device with one or more sensors, and of predetermined classification parameters and means for the device of the method.
  • documents of value are understood to be sheet-like objects which, for example, represent a monetary value and should therefore not be able to be produced by unauthorized persons at will. They therefore have features that are not easy to produce, in particular to be copied, the presence of which is an indication of authenticity, i.e. production by an authorized body.
  • documents of value are coupons, vouchers, checks and, in particular, bank notes.
  • Value-document processing devices are used for machine checking of such value documents.
  • Such value document processing devices in particular bank note processing devices, classify value documents, in particular bank notes, by means of a predetermined classification method with regard to the value document type, in the case of bank notes with regard to the currency and / or the value, and / or the authenticity and / or the quality and / or the orientation.
  • the orientation of a value document is understood in the case of a rectangular value document to be one of the four possible positions that can be obtained by rotating the value document about its longitudinal and transverse axis by 180 ° in each case.
  • the quality of a value document is understood to mean in particular its condition;
  • the status can be determined, for example, by assigning them to classes such as "fit for circulation” and / or “not fit for circulation” and / or “damaged” or “damaged” in connection with the type of damage.
  • the value documents can then, for example, be sorted and, if necessary, stored in corresponding output areas. This will be explained using the example of value documents in the form of bank notes.
  • the classification is based on various physical properties of the individual, i.e. H. each processed, banknote.
  • physical properties are optical properties, for example color properties, magnetic properties or ultrasonic properties.
  • sensor data which are used for the classification.
  • the sensor data of a respective sensor describe the physical property or physical properties detected by the respective sensor.
  • sensor data is generally understood to mean, in particular, raw data formed by a sensor that are unprocessed except for processing operations in the sensor and / or corrections, for example also with regard to calibration and / or removal of noise or background components.
  • a connected data processing device functioning as an evaluation device, which can also be at least partially designed to control the value document processing device or as a control and evaluation device, by means of a classification method with evaluation of the Sensor data determined a classification result.
  • the evaluation among other things, banknote features which at least partially characterize the banknote type and / or the authenticity and / or the quality of the banknote are determined in corresponding predetermined sub-steps by suitable evaluation methods.
  • the evaluation device calculates a classification result which subsequently determines in which output compartment of the bank note processing device the bank note is to be deposited and is therefore referred to as the sorting result in the context of the present invention. If the evaluation device is designed as a control and evaluation device, it can control a transport device of the bank note processing device as a function of the classification or sorting result.
  • the evaluation method and the determination of the classification result must be adapted to the type of bank notes to be processed and also to the requirements of the operators of bank note processing devices.
  • the evaluation device preferably at least one evaluation program running in it, can be parameterized, i. H.
  • classification parameters available, the values of which can be specified and which are used when the classification process is carried out, i. H. the evaluation and actual classification or the determination of the classification result are used; this adaptation of the classification parameter values, also referred to as adaptation of the classification parameters, possibly in connection with the definition of evaluation sub-steps and their sequence, is referred to below as adaptation.
  • the sensor data of corresponding, suitably predefined bank notes can be used to adapt the classification parameters be used. More precisely, in a first step when measuring data is recorded for the specified bank notes with the bank note processing device, corresponding sensor data are recorded and stored. These sensor data are then used in a second step to determine the classification parameter values.
  • the classification process can become very complex, since a large number of features are determined and linked with one another. Accordingly, there is a not inconsiderable number of classification parameters, the values of which influence the result of the classification. In the case of an adaptation, it is often not easy for a person who carries out the adaptation to recognize why a certain sorting result was obtained and which classification parameters may need to be changed.
  • a similar problem can arise if, during normal operation of a value document processing device, a check is to be made as to why a certain sorting result was determined for a processed value document.
  • US 6,560,355 B2 describes a system for evaluating bills with monetary evaluation machines and recording information associated with the evaluated bills.
  • the currency evaluation machines use sensors to obtain information from the evaluated bills; comparative tests are carried out in which the sensor information is compared with master information in order to identify the denomination, the series and the authenticity of the banknotes evaluated. A verifiable log of the benchmark tests is made for each individual money scoring machine guided. After the comparison tests have been carried out, the evaluated rails are identified as either "no call" tickets, suspicious documents or genuine tickets.
  • Information associated with a respective "no call” slip, suspicious document or genuine note, including the number of occurrences or the number of "no call” notes, suspicious documents or genuine notes and / or denomination of suspicious documents or genuine notes, is shown in stored in the verifiable log.
  • the verifiable log is communicated by a network of individual monetary scoring machines to centralized controllers that maintain a collective log of information compiled by the individual machines.
  • the present invention is based on the object of providing a method for determining a sorting result for a document of value, in which a classification method is used and which makes it possible to easily understand the emergence of a sorting result that can be easily understood with the classification method used in the determination method using predetermined classification parameters was obtained; a further object is to provide means for carrying out the method.
  • the object is achieved by a method according to claim 1 and in particular a method for determining a sorting result for a document of value using sensor data for the document of value that can be or were detected by means of a document processing device with one or more sensors, and of predetermined classification parameters.
  • a predefined classification method is carried out using the sensor data and at least one of the classification parameters, during which predefined sub-steps are carried out, at least some of which contain a decision each, and after carrying out the sub-steps as a result, a class is determined as the sorting result wherein at least one classification parameter assigned to the respective decision and / or at least part of the sensor data and / or at least one partial step result obtained when performing a previous partial step is used at least when making the decisions.
  • a display device is activated for the ascertained sorting result or the sensor data for the value document in such a way that it shows at least one section of a graph with nodes and at least two edges connecting the nodes, the nodes having a start node, at least one sub-step node, which represents a partial step necessary for obtaining the sorting result, and comprise at least one result node representing a possible sorting result, and the edges connect the nodes so that they, together with the nodes connected by them, represent a sequence of partial steps given by the nodes through the classification process , and wherein in the shown at least one excerpt, those edges are identified which form a continuous path from the start node to the result node representing the sorting result, which the sequence of the Represents classification method for the sensor data, and / or only those edges are shown as edges that form a continuous path from the start node to the result node representing the sorting result, which represents the sequence of the classification method for the sensor data, and / or where in the shown at least a section
  • the method according to the invention can be carried out by means of a data processing device which controls the display device.
  • the object is therefore further achieved by a computer program with program code, when it is executed by means of a data processing device that controls a display device, a method according to the invention is carried out.
  • the present invention also relates to a physical data carrier on which a computer program according to the invention is stored.
  • the object is further achieved by a system for determining a sorting result for a document of value using sensor data for the document of value, which can be or were detected by means of a document processing device with one or more sensors, and of predetermined classification parameters, with a data processing device and with a display device , wherein the data processing device comprises at least one processor and a memory in which a computer program according to the invention is stored, which can be executed by means of the data processing device, wherein the at least one processor controls the display device.
  • the data processing device executes the program using the at least one processor, which also controls the display device directly or by means of at least one interposed graphics processor.
  • the data processing device can in particular have one or more processors that have one or more cores.
  • the system in particular the data processing device, can be a system separate from a value document processing device by means of which the sensor data are recorded.
  • the method according to the invention can be carried out by means of a value document processing device which comprises the display device.
  • the system according to the invention can then be part of a device for processing documents of value.
  • the present invention therefore also relates to a device for processing documents of value with a feed device for feeding individual or individual documents of value to be processed, an output device with at least one output section for receiving processed documents of value, a transport device for transporting individual or individual documents of value from the feed device the output device, a sensor device for capturing sensor data for a document of value transported by the transport device, and a system according to the invention connected to the sensor device via a signal connection for determining a sorting result for processing the captured sensor data.
  • At least the data processing device preferably the system, preferably also functions in certain operating modes as a control and evaluation device that controls the transport device.
  • the method according to the invention can in particular also take place after the processing, for example sorting, of documents of value and on the basis of sensor data that were recorded and stored during the previous processing of documents of value.
  • a predefined classification method is used which requires the sensor data and the predefined classification parameters as input data.
  • the classification parameters can be adapted, but are fixedly predetermined for the duration of the respective execution of the classification method and are preferably stored in a memory of the data processing device.
  • the classification method is also specified and can preferably be carried out on the value document processing device.
  • the classification process comprises several sub-steps, in each of which a result is determined and / or a decision is made. If a classification parameter is used in a partial step in which only one result is determined, it is sufficient that this is included in the determination of the result; a decision does not need to be directly linked to it. For example, in such a sub-step from sensor data and / or a result of another sub-step, a value for a feature of the value document can be determined as the result, which value can then be used in subsequent sub-steps.
  • the value document feature can in particular describe a predefined property of the value document.
  • the value document feature can in particular be relevant for determining the classification result. Progress data are preferably obtained while the classification method is being carried out stored, which describe which of the sub-steps, preferably with which result or which decision, were carried out.
  • the invention provides that the display device, for example a monitor, is controlled, preferably as a function of the stored history data, in such a way that it displays at least a section of a directed graph.
  • the data processing device can generate corresponding display data using the history data, which are used to control the display device.
  • the graph is used to illustrate possible classification processes and / or the classification process, ie the sequence of the partial steps, for the given sensor data. Each sub-step can be assigned a node in the graph that represents the sub-step.
  • the graph also has edges, each of which connects at least two nodes with one another.
  • edges are specified in such a way that they connect the nodes in such a way that, together with the nodes connected by them, they represent a sequence of partial steps represented by the nodes, given by the classification method.
  • an edge can connect two nodes that represent partial steps, of which a second of the partial steps is carried out according to the specified classification method after the other, first partial step, and that the edge from the node representing the first of the partial steps to the second of the partial steps performing node is directed; this is particularly the case when the second sub-step uses the result of the first sub-step and can only be carried out if the result of the first sub-step is known.
  • the sequence of the classification method for the specific sensor data for the value document is represented by a path in the graph which leads from the start node to the result node representing the sorting result. It is formed by nodes, which are connected by edges and represent partial steps carried out in carrying out the classification method, and the corresponding edges connecting the nodes.
  • a path in the graph which leads from the start node to the result node representing the sorting result. It is formed by nodes, which are connected by edges and represent partial steps carried out in carrying out the classification method, and the corresponding edges connecting the nodes.
  • edges can be identified which form the continuous path from the start node to the result node representing the sorting result, which represents the sequence of the classification method for the sensor data.
  • the display device can also be activated in such a way that other nodes and edges are also shown which represent partial steps that would be carried out for other sensor data when the classification method was carried out. This enables an overview of the possible process variants when carrying out the classification process.
  • edges can also be shown as edges which form the continuous path from the start node to the result node representing the sorting result, which represents the sequence of the classification method for the sensor data.
  • all nodes or only the nodes connected by the edges are displayed. This representation is characterized by the fact that it only illustrates the information that is absolutely necessary and is therefore particularly clear.
  • those nodes can be identified which are directly connected by edges which form a continuous path from the start node to the result node representing the sorting result, which represents the sequence of the classification method for the sensor data. In this case, too, a good overview of the possible variants of the classification process can be obtained.
  • the display device is controlled in such a way that at least the classification parameters used to determine the sorting result are displayed, the classification parameters used in the execution of the sub-step corresponding to the node preferably being displayed at the nodes of the path.
  • the display device is controlled in such a way that, adjacent to at least one of the partial step nodes, the result of the implementation of the partial step represented by the partial step node is displayed.
  • edges and / or nodes can be identified in different ways; the alternative embodiments described below can be used alone or in combination.
  • the display device is activated in such a way that the marked edges or the marked nodes are marked in color.
  • the marked edges or the marked nodes are marked in color.
  • the display device is controlled in such a way that marked edges are displayed with a predetermined line shape that differs from the line shape used to display other edges or from the line shapes used to display other edges.
  • the result of the partial step is displayed at least at nodes that represent a partial step in which only a result is determined but no decision is made. This allows a very detailed follow-up of the process sequence.
  • the display device is controlled in such a way that the display is updated after each sub-step or a predetermined number of sub-steps has been carried out, so that the part of the path is shown which corresponds to the sub-steps carried out so far, preferably the Type of display of the part of the route corresponds to the type of display of the route.
  • the execution of the classification method can be interrupted after the execution of the respective partial step or the specified number of partial steps, preferably by means of the data processing device, until an input of a user is recorded via an input device, preferably connected to or contained in the data processing device .
  • the classification parameter used is stored in a memory device. This enables the classification parameters to be used later.
  • This embodiment is particularly preferred when it is combined with the embodiment of the method in which at least one user input is recorded for the sensor data for the value document after the classification method has ended, and if this represents a value for one of the classification parameters, this value for the classification parameter is stored and the classification process is carried out with the then existing or stored classification parameters and the control of the display device. This enables the interactive definition of classification parameters.
  • the data used during its execution can preferably be stored in a memory device for at least one of the partial steps carried out.
  • a value document processing device 10 in Fig. 1 in the example a device for processing documents of value 12 in the form of banknotes, is designed for sorting documents of value depending on the detection of the authenticity and the status of processed documents of value.
  • the components of the device described below are arranged in a housing of the device (not shown) or held on it, unless they are designated as external.
  • the device has a feed device 14 for feeding documents of value, an output device 16 for receiving processed, i. H. sorted documents of value, and a transport device 18 for transporting separated documents of value from the feed device 14 to the output device 16.
  • the feed device 14 comprises an input compartment 20 for a stack of documents of value and a separator 22 for separating documents of value from the stack of value documents in the input compartment 20 and for feeding the separated documents of value to the transport device 18.
  • the output device 16 comprises three output sections 24, 25 and 26, into which processed documents of value can be sorted according to the result of the processing.
  • each of the sections comprises a stacking compartment and a stacking wheel, not shown, by means of which supplied documents of value can be stored in the stacking compartment.
  • the transport device 18 has at least two, in the example three branches 28, 29 and 30, at the ends of which one of the output sections 24 or 25 or 26 is arranged, and at the branches through Control signals controllable switches 32 and 34, by means of which documents of value can be fed to branches 28 to 30 and thus to output sections 24 to 26 as a function of control signals.
  • a sensor device 38 is arranged on a transport path 36 defined by the transport device 18 between the feed device 14, in the example more precisely the separator 22, and the first switch 32 in the transport direction after the separator 22, which measures and measures physical properties of the value documents while the value documents are being transported past forms sensor signals reproducing the measurement results.
  • the sensor device 38 has three sensors, namely an optical remission sensor 40 which detects a remission color image and a remission IR image of the value document, an optical transmission sensor 42 which detects a transmission color image and a transmission IR image of the value document, and a transmission ultrasonic sensor 44 which detects or measures spatially resolved ultrasonic transmission properties of the value document and is referred to below for the sake of simplicity only as an ultrasonic sensor.
  • the sensor signals formed by the sensors correspond to sensor data or raw data from the sensors which, depending on the sensor, may already have been subjected to a correction, for example as a function of calibration data and / or noise properties.
  • the value document processing device 10 has an input / output device for the acquisition and display of operating data.
  • this comprises a display device 46, for example an LCD display, and for input as input device 47 a keyboard 47.1 and a pointing device 47.2, for example a mouse.
  • a touch-sensitive display device (“touch screen”).
  • a data processing device 48 serves as a control and evaluation device 48. It is connected via signal connections to the sensor device 38, the display device 46, the input device with keyboard 47 and pointing device 47 'and the transport device 18, in particular the switches 32 and 34.
  • a data interface 50 is also connected to the data processing device or control and evaluation device 48, by means of which the control and evaluation device 48 can read data records from an external device.
  • the data interface 50 has a USB interface with a USB connection, via which data can be read from and / or written to an external storage device 60, in the example a USB storage medium.
  • the data processing device 46 with the display device 48 and the input device 47 with keyboard 47.1 and pointing device 47.2 forms a system for determining a sorting result for a document of value using sensor data for the document of value that can be or have been detected by means of a value document processing device with one or more sensors, and of predetermined classification parameters.
  • the control and evaluation device or data processing device 48 has a processor 52 and a memory connected to the processor 52 for evaluating the sensor data and controlling the devices of the device, in addition to corresponding data interfaces not shown in the figures for the sensor device 38 or its sensors 54, in which at least one computer program with program code is stored, when the processor 52 controls the device when it is executed.
  • the value-document processing device 10 also has a measurement data memory 56 connected to the processor 52, in which, inter alia, sensor data can be stored that were recorded for processed value documents.
  • the measurement data memory 56 can be part of the control and evaluation device 48, as in FIG Fig. 1 shown, or separated from it.
  • this measurement data memory is a non-volatile memory, for example a hard disk.
  • the control and evaluation device also controls, d. H. Data processing device 48 the input / output device 46, inter alia for displaying operating data, and using these operating data that correspond to inputs by an operator.
  • the value-document processing device 10 is designed to be operated in two operating modes or operating modes, a sorting mode for sorting value documents depending on their condition or quality and their authenticity, and an analysis mode in which sensor data is recorded and stored for a value document a sorting result can be determined and its occurrence can be checked.
  • the data processing device or control and evaluation device 48 and in particular the computer program are designed accordingly.
  • the control and evaluation device 48 carries out a predefined classification method, and depending on the sensor data of the sensor device 38 for a value document and the classification parameters for the value document stored in the evaluation device, a class representing a sorting result, depending on the specification, one of predefined status and / or or authenticity classes, determined.
  • the transport device 18 controls the transport device 18, here more precisely the switches 32 or 34, by emitting control signals so that the value document is assigned to one of the class or the sorting result according to its class or the determined sorting result Output section of the output device 16 is output.
  • An identifier of the value document for example given by the stacking compartment and the position of the value document in a stack therein, the sensor data, the classification parameters and the sorting result for the value document are each stored in the measurement data memory 56.
  • a method for determining a sorting result for sensor data for a value document stored in the measurement data memory 56 can be used to understand which sorting result was obtained with the classification method used in the value document processing device using the classification parameters stored in the measurement data memory for the value document can be and how this comes about.
  • a computer program is stored in the data processing device 48, more precisely in its memory 52, and when it is executed by the processor 52, the exemplary embodiment described below for a Method for determining a sorting result for a value document is carried out.
  • a classification method is carried out, as is also carried out by the value-document processing device 10 in the sorting mode.
  • the sequence of the classification method is shown schematically on the display device 46 in the manner described below.
  • the classification method includes, inter alia, a number of sub-steps, not all of which need to be carried out depending on the classification parameters used and the sensor data used.
  • results are determined or decisions are made. This takes place as a function of at least some of the sensor data and / or at least one result of a previously performed partial step and / or at least one classification parameter.
  • results can in particular be value document features which describe the specified properties of the value document for which the sensor data are recorded. These value document features or their values or characteristics can influence the course of the classification method.
  • a classification method for a value-document processing device comprises a large number of sub-steps and is quite complex.
  • the following is based on a greatly simplified classification method in which only one sorting takes place only with regard to the status of the value document and therefore only the classes "Rejection”, “Recyclable” and “Unfit” are used as sorting results.
  • a sub-step T1 it is determined whether sensor data have been determined for a value document which overlaps with at least one further value document.
  • Such constellations can arise if, when separating value documents, two value documents lying on top of one another are not or not completely separated. They are also known as "multiple prints".
  • sensor data from the ultrasonic transmission sensor are used for this purpose.
  • a multiple deduction is accordingly recognized when the transmission resulting from the ultrasonic sensor data is less than a predetermined limit value SW1, which represents an adaptable classification parameter of the classification method.
  • SW1 represents an adaptable classification parameter of the classification method.
  • the sub-step thus represents a decision with the result “yes” or “no”, which depends on the classification parameter SW1 and the sensor data of the ultrasonic sensor.
  • a further substep T2 is the decision as to whether, according to the sensor data, the value document has the value document type "Type 1".
  • the sensor data of the reflectance sensor are used in this exemplary embodiment.
  • a search is made for predetermined features for value documents of the type "Type 1". If more than N2 features are found, it is decided that the value document has the type "Type 1", otherwise not.
  • the value of N2 is also a classification parameter of the Classification procedure.
  • the substep also gives a result for the value document type of the value document, which can be used in the following substeps.
  • a substep T3 is the decision as to whether, according to the sensor data, the value document has the value document type "Type 2".
  • the sensor data of the reflectance sensor are used in this exemplary embodiment.
  • a search is made for predetermined features for value documents of the type "Type 2". If more than N3 features are found, it is decided that the value document has the type "Type 2", otherwise not.
  • the value of N3 is also a classification parameter of the classification process.
  • the substep also gives a result for the value document type of the value document, which can be used in the following substeps.
  • the sub-steps T4 to 6 relate to tests to determine whether there are errors that rule out further circulation. The presence of the respective error leads to the result “YES”, otherwise the result “NO” is determined.
  • a substep T4 relates to the decision as to whether an adhesive strip is present on the value document according to the sensor data.
  • the sensor data of the ultrasonic sensor are used again. It is checked whether the sensor data of the ultrasonic sensor for a strip-shaped area result in an ultrasonic transmission which falls below a predetermined threshold value SW4. If this is the case, the presence of an adhesive strip is assumed.
  • the result of sub-step T4 is therefore the result “YES” if there is an adhesive strip and “NO” otherwise.
  • a substep T5 relates to the decision as to whether the value document is limp according to the sensor data.
  • the sensor data of the ultrasonic sensor is used for this. Roughly summarized, it is checked whether the variance of the ultrasound transmission for locations on the value document exceeds a predetermined limit value SW5.
  • This limit value also represents a classification parameter.
  • the determination of limpness using ultrasound data is in DE 10 2006 03300 A1 , Paragraphs [0095] to [0102], the content of which is incorporated into the description by reference.
  • the result of sub-step T5 is therefore the result “YES” if the limit value is exceeded and the presence of “limpness” is recognized, and “NO” otherwise.
  • a sub-step T6 relates to the decision as to whether the value document is too heavily soiled.
  • the sensor data of the optical remission sensor more precisely a digital color image, the sensor data of the optical transmission sensor and the type of value document determined are used.
  • the number of pollution pixels is determined; Pollution pixels are those pixels of the digital image for which the color or color coordinates resulting from the remission image for the respective pixel of the document of value differ by more than a given distance ⁇ from the color coordinates given for the pixel and the type of document of value according to a given criterion. If the number exceeds a limit value N6, excessive soiling is assumed and the result is a "YES" if there is soiling, otherwise a "NO".
  • the partial steps are not carried out in any order.
  • the possible orders are determined by the classification method, the specific order for sensor data for a specific value document by the classification method, the sensor data and the classification parameters. This is described in more detail below.
  • FIG. 2 shows a rough flowchart of the method.
  • the data processing device 48 controls the display device 46 in such a way that it displays an input field in which a user can enter an identifier of the value document as it is stored assigned to the sensor data.
  • the identifier identifies a value document for which sensor data are stored in the measured value memory 56. It then records signals from the input device 47 or 47.1, 47.2, which represent an identifier entered by the user.
  • step S12 the data processing device 48 then executes the classification method with the sensor data and classification parameters stored for the value document in the mass memory 56 and determines the corresponding sorting result.
  • the classification process is carried out, it saves progress data that describe which of the partial steps were carried out with which result or which decision.
  • step S14 the data processing device 48 controls the display device 46 to display a graph as a function of the ascertained history data, which graph represents the classification method carried out.
  • the display or representation of the graph on the display device 46 is shown in FIG Fig. 3 shown.
  • the graph is determined by the classification method used. It has nodes and edges which each connect two nodes.
  • the nodes include a start node, partial step nodes and result nodes representing a possible sorting result.
  • the start node A represents the starting point of the classification using the classification process.
  • the result nodes Z 1 , Z 2 , Z 3 each represent the end of the implementation of the classification process and the possible sorting results "Rejection", "Not fit for circulation” and "Fit for circulation”.
  • the sub-step nodes T1, T2, ..., T6 are identified by reference numerals, which are also the names of the sub-steps which they represent and which are described above. In other exemplary embodiments, the nodes can also be represented by text alone.
  • the graph also has edges which connect nodes in such a way that, together with the nodes connected by them, they represent a sequence of partial steps represented by the nodes, given by the classification method. This means that not every node is connected to every other node, but the existence of an edge between two nodes is determined by the classification procedure.
  • a reference symbol K is shown for only one edge.
  • substep T2 in which it is checked whether the value document has the value document type "Type 1", two substeps can be carried out. If the value document type "Type 1" was not recognized, on the one hand the substep T3 can be carried out. Therefore, an edge connects the corresponding nodes T2 and T3. If, on the other hand, the value document type “Type 1” is recognized, the substep T4 is carried out first. Accordingly, an edge connects the nodes T2 and T4.
  • the classification method does not provide for any further design variants, so that there are no further edges in addition to the edges for T3 or T4 already described.
  • steps T4 to T6 can lead to the results that the respective error is present and the result is a “YES” or the error is not present and the result is a “NO”.
  • the procedure is designed in such a way that when a result "YES” occurs for the first time, a decision is made as to "not fit for circulation”. Therefore, from the area of these three substep nodes corresponding to the result “NO”, edges each go to the result node Z 2 , which represents the result "not fit for circulation”. If a “NO” is determined as the result in one of the sub-steps T4 or T5, that is, if no sufficient error was found, the method is continued with the next sub-step T5 or T6. If a “NO” is also determined at T6, the sorting result “fit for circulation” is determined, so that an edge leads from the area of the partial step node T6 corresponding to the result “NO” to the result node Z 3 .
  • edges of these partial step nodes only lead to partial step node T7, which corresponds to partial step T7, in which it is decided, depending on the results of partial steps T4 to T6, whether the sorting result is "fit for circulation” or "not fit for circulation.””reads.
  • two edges proceed from the partial step node T7, which lead to the corresponding result node Z 2 and Z 3 .
  • P Adjacent to the substep node of sub-steps, in which classification parameters are used, P are each classification parameter fields P 1, ..., 6, in which the classification parameter used in each case in the sub-step are shown with their values.
  • the designation of the classification parameters corresponds to the designation used above.
  • result fields E 4 to E 6 are shown in which show the sub-steps carried out during the execution of the corresponding substep.
  • edges, classification parameter fields and result fields corresponding data are stored in the computer program or in a corresponding configuration file, which data is assigned to the classification method. If the classification procedure is changed, these may have to be adjusted.
  • standard colors and shapes for nodes and standard colors and line widths for the edges are specified in the present exemplary embodiment.
  • configuration data are stored in the computer program or the configuration file, which represent a special color for nodes traversed and special line thicknesses for edges traversed.
  • the data processing device 48 uses the progress data determined during the execution of the classification method, which describe which of the partial steps were carried out with which result or which decision. Depending on the process data and the classification parameters, it determines display data that at least partially define the representation to be displayed or the graph to be displayed and controls the display device in accordance with the display data in such a way that the above-described graph is displayed.
  • the edges that form a continuous path from the start node to the result node representing the sorting result, which represents the sequence of the classification process for the sensor data are identified by the special line thickness, which is greater than the line thickness for displaying the other edges.
  • nodes that are directly connected by edges that have a continuous path from the start node are particularly marked by the display in the special color to form the result node representing the sorting result, which represents the sequence of the classification process for the sensor data.
  • These nodes represent the partial steps performed. This is in Fig. 3 represented by a dotted background. These nodes are also clearly described by the process data, which describe which of the partial steps were carried out with which result or which decision.
  • Fig. 3 shows the case that a sorting result is or has been determined for sensor data for a value document of the value document type "Type 2". Since there is no multiple print, the sub-steps T1, T2, T3, T4 and T5 are run through first. In T5 too great a limpness and thus the result "YES" is determined. This leads directly to the result “not fit for circulation”, identified by the result node Z 2 . The sub-step T6 is no longer carried out; accordingly the result field E 6 remains empty. The path through the graph therefore runs from A via T1 to T5 to Z 2 . At first glance it can be seen that the result is due to excessive limpness.
  • the data processing device 48 can store the data describing the graphic after recording a corresponding input signal as a result of an input by a user by means of the input device 47 or 47.1, 47.2.
  • the sequence of the substeps would be T1, T2, T4 etc. It would then be the edge between T1 and T2, as in the case of the Fig. 3 , and the edge between T2 and T4 is highlighted. Furthermore, the node corresponding to substep T3 would not be identified by a dotted background.
  • a second exemplary embodiment differs from the first exemplary embodiment only in that the activation of the display device is modified in such a way that only the start node, the partial step nodes that have been carried out, and the result node are shown in order to increase the clarity.
  • the display for the same sensor data and classification parameters as her Fig. 3 are also used here, so that the in Fig. 4 The representation shown results.
  • a third exemplary embodiment for a method for determining a sorting result differs from the first exemplary embodiment in that steps T4 to T6 are replaced by steps T4 'to T6' and an additional step T7 'is carried out.
  • An example of a display generated when the method is carried out is shown schematically in FIG Fig. 5 shown.
  • Step T4 'differs from step T4 only in that the result of the check for the presence of adhesive strips is not "YES” or "NO", but rather a recognized area of an adhesive strip in relation to the area of the value document. Since no decision is made as a result of which further processing could take place differently, only one edge leads out of the corresponding node.
  • Step T5 'differs from step T5 only in that no comparison is made with a threshold value and the result is "YES” or “NO” is determined, but the value is stored for later use, which is compared with the threshold value in step T5. Since no decision is made as a result of which further processing could take place differently, here too only one edge leads out of the corresponding node.
  • Step T6 'differs from step T6 only in that a comparison with the limit value N6 is no longer carried out and "YES" or "NO” is not determined as the result. Instead, the quotient of the number of soiling pixels and the number of pixels of the digital image of the document of value is determined as the result of the partial step.
  • a comparison with the limit value N6 is no longer carried out and "YES" or "NO” is not determined as the result.
  • the quotient of the number of soiling pixels and the number of pixels of the digital image of the document of value is determined as the result of the partial step.
  • only one edge leads out of the node, since no decision is made as a result of which further processing could take place differently.
  • result fields E 4 to E 6 are replaced by result fields E 4 'to E 6 ', in each of which the described results of the respective sub-steps are shown.
  • step T7 ' an overall result for the state is determined by multiplying and adding the results of steps T4' to T6 'with classification parameters A4, A5 and A6. The sum is then compared with a threshold value SW7 ', which also represents a classification parameter. If the total exceeds the threshold value, a decision is made that the class "not fit for circulation" is determined as the sorting result, otherwise the class "fit for circulation". Correspondingly, edges lead from the node representing substep T7 'to the corresponding result node.
  • the classification parameter field P 5 is missing and the classification parameter fields P 4 and P 6 are replaced by classification parameter fields P 4 'and P 6 '.
  • a classification parameter field P 7 ' is also displayed, in which the classification parameters used in step T7' are shown.
  • the starting node A, the nodes corresponding to the partial steps carried out and the result node corresponding to the sorting result are identified by puncturing, the corresponding path or route by the increased line thickness of the edges connecting the nodes.
  • the data processing device 48 then controls the display device 46 in such a way that a graph as shown in FIG Fig. 5 for the sensor data of the case in Fig. 3 is outlined, is displayed.
  • a fourth embodiment of a method for determining a sorting result which is shown in Fig. 6 is outlined differs from the first exemplary embodiment in that, after step S14, steps S16 and S18 are carried out.
  • the computer program stored in the data processing device 48 is modified accordingly.
  • step S16 the data processing device 48 captures input signals from the input device 47, ie keyboard 47.1 and / or pointing device 47.2, which represent inputs of a user, which either represent at least one changed classification parameter or a confirmation that the changed classification parameters are to be saved.
  • the most recently applicable classification parameters are used updated according to the inputs and the method continues with step S12.
  • step S18 If, on the other hand, a confirmation is detected, the current classification parameters are stored in step S18.
  • This embodiment allows an interactive adaptation of classification parameters.
  • sub-steps can be subdivided into several sub-steps in order to be able to better understand how the result came about.
  • exemplary embodiments differ from the exemplary embodiments described above in that the display device is activated in such a way that the edges on the way from the start node to the result node are not identified by a different line thickness, but by a different color.
  • Still other exemplary embodiments differ from the exemplary embodiments described above in that the implementation of the classification method and the activation of the display device are nested in such a way that, after a partial step has been performed, the display device is activated in such a way that, analogously to the exemplary embodiments described above, it corresponds to the current status of the course of the classification method and, after a continuation signal has been detected from the input device that represents a continuation request of a user, continues with the next substep.
  • Still other exemplary embodiments can differ from the exemplary embodiments described above in that, depending on the data processing device and computer program used, partial steps whose execution can be carried out independently of one another, e.g. B. in the fourth embodiment, the substeps T4 'to T6', are at least partially carried out in parallel.
  • the path from the starting node A to the result node can then have sections that run in parallel. These are characterized in that they start at a common node for a partial step and end at a common node for a partial step and each have at least one different partial step node.
  • Still further exemplary embodiments differ from the exemplary embodiments described above in that the system for determining a sorting result for a document of value using sensor data for the document of value, in particular the data processing device, is not part of the document of value processing device, but rather a separate device.
  • Such a system in Fig. 7 comprises a data processing device 60, a display device 64 connected to the data processing device 60 via a signal connection 62 and controllable by the same, and an input device 66 also connected to the data processing device via at least one signal connection.
  • the display device 64 for example an LCD display or an LCD monitor, is controlled by the data processing device 60 so that it displays certain contents by the data processing device 60.
  • Signal connection can serve any suitable connection, for example a cable.
  • the input device 66 is used to capture input from a user and has, in accordance with the first embodiment, in this embodiment a keyboard 68 and a pointing device 70, in the example a mouse, by means of which and the data processing device 60 a pointer can be displayed on the display device 64. Both the keyboard 68 and the pointing device 70 are connected to the data processing device 60 via signal connections, in the example wired USB connections, so that these inputs of a user can capture corresponding signals.
  • the data processing device 60 includes, among other things, at least one processor 72 with an associated main memory (not shown) and a memory device 74.
  • the memory device 74 can in particular include a permanent memory, for example a hard disk, and a working memory.
  • the data processing device 60 also has an interface 76 connected to the at least one processor via a signal connection, to which an external memory device 78, for example an external computer or server, can be connected via a signal connection suitable for the interface.
  • the interface 78 is a network card by means of which a value document processing device is connected to the data processing device 60 via a LAN connection, so that sensor data for value documents can be transmitted to the data processing device 60 and stored there for use in the storage device 74.
  • a computer program is stored, during the processing of which by the data processing device 60, more precisely the at least one processor 72, one of the previously described methods for determining a sorting result is executed.
  • the sensor data, classification parameters and the identifier for a respective value document are then not read from the measured value memory 56 when the method is carried out, but from the memory device 74.
  • Still further exemplary embodiments differ from the exemplary embodiments described above in that the data used in each case for the execution of the partial steps are stored in a memory device.

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Claims (17)

  1. Procédé de détermination d'un résultat de trieuse pour un document de valeur (12) en utilisant des données de capteur pour le document de valeur (12) qui peuvent être saisies ou ont été saisies au moyen d'un dispositif de traitement de document de valeur (10) avec un ou plusieurs capteurs (40, 42, 44), et des paramètres de classification prédéterminés, dans lequel un procédé prédéterminé de classification est effectué en utilisant les données de capteur et au moins un des paramètres de classification, lors de l'exécution duquel des étapes partielles prédéterminées sont exécutées, dont au moins quelques unes contiennent la prise de respectivement une décision, et après l'exécution des étapes partielles une classe est déterminée comme résultat de trieuse,
    cependant que, au moins lors de la prise des décisions, respectivement au moins un paramètre de classification affecté à la décision respective et/ou au moins une partie des données de capteur et/ou au moins un résultat d'étape partielle obtenu lors de l'exécution d'une étape partielle précédente est utilisé, et
    dans lequel, pour le résultat de trieuse déterminé, un équipement d'affichage (46) est commandé de telle façon qu'il montre au moins un fragment d'un graphe comportant des nœuds et des arêtes reliant respectivement au moins deux des nœuds,
    cependant que les nœuds comprennent un nœud de départ, au moins un nœud d'étape partielle représentant une étape partielle nécessaire à l'obtention du résultat de trieuse, et au moins un nœud de résultat représentant un résultat possible de trieuse, et les arêtes relient les nœuds de telle façon que ces derniers représentent conjointement avec les nœuds reliés par eux une suite d'étapes partielles représentées par les nœuds, donnée par le procédé de classification, et
    cependant que, dans le au moins un fragment montré, les arêtes marquées sont celles qui constituent un chemin en continu du nœud de départ au nœud de résultat représentant le résultat de trieuse, ledit chemin représentant le déroulement du procédé de classification pour les données de capteur,
    et/ou cependant que, comme arêtes, les arêtes montrées sont seulement celles qui constituent un chemin en continu du nœud de départ au nœud de résultat représentant le résultat de trieuse, ledit chemin représentant le déroulement du procédé de classification pour les données de capteur, et/ou cependant que, dans le au moins un fragment montré, les nœuds marqués sont ceux qui sont directement reliés par des arêtes qui constituent un chemin en continu du nœud de départ au nœud de résultat représentant le résultat de trieuse, ledit chemin représentant le déroulement du procédé de classification pour les données de capteur.
  2. Procédé selon la revendication 1, dans lequel le procédé de classification peut être exécuté sur le dispositif de traitement de document de valeur (10).
  3. Procédé selon la revendication 1, lequel est exécuté sur un dispositif de traitement de document de valeur (10) comprenant l'équipement d'affichage (46).
  4. Procédé selon la revendication 1 ou 2, lequel est exécuté sur un équipement de traitement de données (48) comportant l'équipement d'affichage (46).
  5. Procédé selon une des revendications précédentes, dans lequel l'équipement d'affichage (46) est commandé de telle façon qu'au moins les paramètres de classification utilisés pour la détermination du résultat de trieuse sont affichés, cependant que, de préférence aux nœuds du chemin, les paramètres de classification utilisés lors de l'exécution de l'étape partielle correspondant au nœud sont affichés.
  6. Procédé selon une des revendications précédentes, dans lequel l'équipement d'affichage (46) est commandé de telle façon que, dans le voisinage d'au moins un des nœuds d'étape partielle, le résultat de la réalisation de l'étape partielle représentée par le nœud d'étape partielle est affiché.
  7. Procédé selon une des revendications précédentes, dans lequel l'équipement d'affichage (46) est commandé de telle façon que les arêtes marquées ou les nœuds marqués sont marqués en couleur.
  8. Procédé selon une des revendications précédentes, dans lequel l'équipement d'affichage (46) est commandé de telle façon que des arêtes marquées sont affichées avec une forme linéaire prédéterminée qui se différencie de la forme linéaire utilisée pour l'affichage d'autres arêtes ou des formes linéaires utilisées pour l'affichage d'autres arêtes.
  9. Procédé selon une des revendications précédentes, dans lequel seulement des nœuds se trouvant dans le chemin en continu sont affichés.
  10. Procédé selon une des revendications précédentes, dans lequel seulement des arêtes se trouvant dans le chemin en continu sont affichées.
  11. Procédé selon une des revendications précédentes, dans lequel l'équipement d'affichage (46) est commandé de telle façon que, après la réalisation de respectivement une étape partielle ou respectivement un nombre prédéterminé d'étapes partielles, l'affichage est actualisé, de telle sorte que la partie du chemin représentée est celle qui correspond aux étapes partielles réalisées jusque-là, cependant que, de préférence, le type de l'affichage de la partie du chemin correspond au type de l'affichage du chemin.
  12. Procédé selon une des revendications précédentes, dans lequel, après l'achèvement du procédé de classification, pour les données de capteur pour le document de valeur (12), au moins une entrée utilisateur est saisie, et quand celle-ci représente une valeur pour un des paramètres de classification, cette valeur est mise en mémoire pour le paramètre de classification et le procédé de classification avec les paramètres de classification alors existants et la commande de l'équipement d'affichage sont alors effectués.
  13. Procédé selon une des revendications précédentes, dans lequel, pour au moins une des étapes partielles réalisées, les données utilisées lors de sa réalisation sont mises en mémoire dans un équipement de mémoire (60).
  14. Programme d'ordinateur doté de code de programme lors de l'exécution duquel, au moyen d'un équipement de traitement de données comportant un équipement d'affichage, le procédé selon une des revendications précédentes est exécuté.
  15. Support de données physique sur lequel un programme d'ordinateur selon la revendication 14 est mémorisé.
  16. Système de détermination d'un résultat de trieuse pour un document de valeur (12) en utilisant des données de capteur pour le document de valeur (12) qui peuvent être saisies ou ont été saisies au moyen d'un dispositif de traitement de document de valeur (10) avec un ou plusieurs capteurs (40, 42, 44), et des paramètres de classification prédéterminés, comprenant un dispositif de traitement de données (48) et un équipement d'affichage (46), cependant que l'équipement de traitement de données (48) comprend au moins un processeur (52) et une mémoire (54) dans laquelle un programme d'ordinateur selon la revendication 14 est mémorisé, lequel peut être exécuté au moyen de l'équipement de traitement de données (46), cependant que le au moins un processeur (52) commande l'équipement d'affichage (46).
  17. Dispositif de traitement de documents de valeur (12), comprenant
    un équipement d'acheminement (14) pour l'acheminement de documents de valeur (12) à traiter distincts ou déliassés,
    un équipement de délivrance (16) ayant au moins une section de délivrance (24, 25, 26) pour la réception de documents de valeur (12) traités,
    un équipement de transport (18) pour le transport de documents de valeur (12) distincts ou déliassés de l'équipement d'acheminement (14) à l'équipement de délivrance (16),
    un équipement de capteur (38) pour la saisie de données de capteur pour un document de valeur (12) transporté par l'équipement de transport (18), ainsi que
    un système selon la revendication 16, relié à l'équipement de capteur (38) par l'intermédiaire d'une liaison par signaux, pour le traitement des données de capteur saisies.
EP15707282.8A 2014-02-28 2015-02-26 Procédé de détermination d'un résultat de tri pour un document de valeur et moyen de mise en oeuvre du procédé Active EP3111426B1 (fr)

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PCT/EP2015/000448 WO2015128089A1 (fr) 2014-02-28 2015-02-26 Procédé de détermination d'un résultat de tri pour un document de valeur et moyen de mise en œuvre du procédé

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DE102019005656A1 (de) * 2019-08-12 2021-02-18 Giesecke+Devrient Currency Technology Gmbh Verfahren und Vorrichtung zum Prüfen von Wertdokumenten
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DE102020006203A1 (de) * 2020-10-08 2022-04-14 Giesecke+Devrient Currency Technology Gmbh Verfahren zum Bearbeiten von Wertdokumenten sowie Wertdokumentbearbeitungssystem
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DE102006033000B4 (de) 2006-07-17 2012-05-31 Hewlett-Packard Development Co., L.P. Mobiltelefon mit sensorgesteuerter Lautsprecher- und Mikrofon-Aktivierung
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