JPS6254390A - Development system for sheet paper discriminator - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

[Detailed Description of the Invention] ((Summary) A paper sheet validating machine development system that collects data on paper sheets including banknotes and performs various processes in developing a validating machine for the paper sheets. In addition to checking the validity of the collected data, it has a function to create sample data, and is configured to use recognition logic to identify paper sheets. is disclosed to enable testing and evaluation.

[Industrial application field]

The present invention relates to a paper sheet R recognition machine development system, particularly.

This invention relates to a paper sheet validator development system that collects data, creates desired sample data, and uses recognition logic to test and evaluate the target validator.

[Conventional technology]

BACKGROUND ART Conventionally, a discriminating machine for paper sheets including two banknotes has been developed. However, in the case of conventional technology.

A large amount of data similar to that used by the classification machine under development is collected from paper sheets to be classified, and to what extent the classification machine under development can correctly classify paper sheets. I was trying to find out. That is, in many cases, a preferable discrimination mode is set in advance, and it is checked to what extent the discrimination mode can be correctly identified.

[Problems to be Solved by the Invention] In the above-mentioned conventional case, it was not possible to develop a discriminator of the desired form from a comprehensive standpoint. For example, in a paper identification machine that discriminates paper sheets, it is necessary to evaluate which position on the paper sheet is best for the sensor to sense.
This was extremely difficult and virtually impossible.

[Means for solving problems]

The present invention is intended to solve the above problems.

FIG. 1 shows a basic configuration diagram of the present invention.

In the figure, reference numeral 1 is a data processing device, 2 is a banknote data collector, 3 is a data editing device, 4 is a floppy disk that holds edited information and supplies it to the data processing device 1, 5 represents a banknote validating machine that is being tested.

The banknote data collector 2 collects m x for both the front and back sides of one banknote.
n fold areas are set, and data for each fold area, such as the amount of light reflection for one color and the amount of light transmission for two colors, is collected. Furthermore, one sheet is set so that data for each fold area can be collected. The data editing device 3 adds additional data such as the denomination, cent direction, environmental conditions at the time of data collection, and banknote manufacturing lot number to the collected data, and writes the data onto the floppy disk 4.

The data processing device 1 has a function of reading the contents of the floppy disk 4 into the database 6 and performing secondary processing. That is.

1) Conveyance state evaluation unit 7 - old: Whether or not the conveyance speed of one banknote was extremely abnormal when the banknote was set in the banknote data collector and data about the banknote was collected, Check the degree of skew during transportation.

2) Data base information evaluation unit 8... Regarding the information group collected on the data base 6, (i) For example, if there are an extremely large number of banknotes of a particular denomination (one banknote Check the input data acquisition conditions, such as whether there is an extremely large amount of data collected under a particular set state when the data is set, and (ii) check whether, for example, a 10,000 yen bill was set at the time of data collection. Check for data anomalies, such as a 1,000 yen bill being mistakenly set in the Evaluate the reliability of the information population.

3) Banknote side data change monitoring unit 9 - old Although it cannot be detected by the human eye, the type of ink on a banknote may sometimes change. For this.

It is necessary to constantly monitor the presence or absence of such changes and to ensure that the discrimination function of the discrimination machine correctly follows the changes. Try to change it to something more favorable.

4) Sample data creation unit 10... From the collected information.

A preferable number of sample data that can deal with sensor variations in the discrimination machine to be tested is created and supplied to the recognition logic section 12, which will be described later.

5) Discrimination data synthesis unit 11...When collecting data by the banknote data collector 2, for example, collecting a large amount of data when a banknote is skewed at a predetermined angle. It is extremely complicated to do so. For this reason, it is desirable to synthesize data obtained when the vehicle is skewed at the predetermined angle from a group of data collected without skew. In addition, there are times when you want to perform a test such as changing the placement position of the sensor in the banknote validator, and it is practically impossible to change the position of the sensor in the data collector 2 and collect data again. Can not. For this reason, it is desirable to appropriately synthesize data obtained when the sensor position is changed from the data on the data base 6. The discrimination data synthesis section 11 has such a function.

6) Recognition logic section 12... When developing a banknote validator, it is necessary to test how much recognition function the banknote validator has. For this.

Regarding the data collected by data collector 2.

It is necessary to apply and investigate the preferred form of epistemic logic. It is also necessary to apply recognition logic to examine the data created in the sample data creation section 10. The recognition logic section 12 has a function for this purpose.

7) Discrimination sensor evaluation unit 13: Evaluates what kind of sensor is more preferable as a sensor to be used in the test target discrimination machine.

The data processing device 1 has the processing functions as described above, but as shown in FIG. (ii) The data synthesis unit 11 for each m has the data synthesis unit 11- for when the sensor position is moved.
1 and a data synthesis section 11-2 for oblique travel.
(iii) The recognition logic unit 12 is a distance-based identification processing unit 1
2-1 and a processing section 12-2 based on division within two groups.

The illustrated bill validator 5 is a valid validator to be tested.

This corresponds to the operating discriminators that are actually in use and in operation, and information from these discriminators 5 is guided to the data processing device 1 via the data editing device 3 as needed.

[Effect]

Data is collected from a banknote data collector 2 by changing the cent status of two banknotes for each denomination of banknotes, passes through a data editing device 3, and is stored on a floppy disk 4. At this time, by changing the cent state, data such as one color is collected for each multiplication area where the entire surface of the front and back of one banknote is divided into m×n multiplication areas.

The data held on the floppy disk 4 is stored on a database 6 and is processed by a transport state evaluation section 7 and an information evaluation section 8 in the database.

The validity of the collected data is evaluated. and.

The sample data creation section 10 creates sample data in a desired form from the contents of the database 6. Further, the discrimination data synthesis unit 11 synthesizes data for the case where the sensor position is moved, and the synthesized data is used as necessary.

The recognition logic unit 12 performs predetermined recognition logic.

Perform various tests. Further, the discrimination sensor evaluation section 13.

Evaluate the selection of preferred types of sensors [Example] Figure 2 shows the configuration of an example of the banknote data collector;
Figure (A) is a side view, Figure 2 (B) is a plan view, Figure 2 (C
) shows the configuration of the roller. Reference numeral 14 in the figure is a feeding section, which supplies the banknote 18 to the data collection section 15 when the banknote 18 is inserted.

As shown in FIGS. 2(B) and 2(C), the data collection unit 15 is provided with rollers 19, and two banknotes 18' are conveyed on the conveyance path 20 as shown by the arrows in the figure. As shown in FIG. 2(B), the conveyance path 20 has a width that is sufficiently larger than the distance in the longitudinal direction of the nine banknotes 18'. On the conveyance path 20, there are 1 banknote entry detection sensor (Sl) (SZ) 2L and 1
A passage detection sensor 22 is provided, and a data collection sensor 23 is arranged symmetrically with respect to the vertical center line shown in FIG. 2(B). A track detection sensor 24 is also provided as shown.

As described above, since the width of the conveyance path 20 is sufficiently large compared to the length in the longitudinal direction of the two banknotes 18', the two banknotes 18
One banknote 18' is set and transported so that the upper end of the banknote 18' touches the upper end of the transport path 20 shown in FIG. 2(B).
It is possible to set the banknote 18' in any position until the banknote 18' is set and transported so that the lower end of the banknote is in contact with the lower end of the transport path 20 shown in FIG. 2(B). Then, corresponding to these cent positions, the data collection sensor 23
The position on the banknote 18' to be sensed is determined.

The top of the banknote 18' is divided into m×n fold areas 25 as shown in FIG. 3, and the fold area groups arranged in the horizontal direction in FIG. 3 are tracked T, , T,. 1. The fold areas arranged in the vertical direction shown in Figure 3 are defined as zones Z+ and Z.
Suppose we define z, Zz...

While two banknotes 18' are conveyed corresponding to the position where the banknotes 18' are set on the conveyance path 20, the data collection sensor 23 collects data of the fold area on the two upper and lower tracks. becomes. Then, by changing the position where one banknote 18' is placed on the conveyance path 20, two banknotes 18'
It is possible to collect data for each square area 25 for all the square areas 25 within a predetermined range on '. Further, the data of the crease area 25 indicated by diagonal lines in FIG. 3 indicates that one of the sensors 23 is the track T. It is extracted at the transport timing corresponding to zone Z while data is being collected along zone Z. At this time, which track the sensor 23 corresponds to can be determined by which position of the track detection sensor 24 the end of one banknote 18' passes through.

The banknotes that have been conveyed through the data collection unit 15 are stored in the storage unit 16 as shown in the banknote 18''.

The data collected during the above-mentioned conveyance is then stored in the control unit 1.
7, the data is transferred to the data editing device 3 shown in FIG.

FIG. 4 shows the configuration of an embodiment of the data editing device.

Reference numeral 26 in the figure is a control unit (processor).

27 represents a data transmission means that receives data from the data collector. Reference numeral 28 denotes a data input section, which, in correspondence with each data transferred from the data collector 2, determines (i) what kind of denomination the banknote 18' corresponds to (■);

(11) Is the data corresponding to which direction the banknote 18' is cented (there are two directions for cents on the front side and two ways for the back side)?■, (ii
i) What were the environmental conditions at the time of data collection?
(iv) Data about which banknote manufacturing loft the banknote 18' corresponds to is added, and these additional data are input from the data input section 28.

Reference numeral 29 represents a data display section, 30 a ROM writer, and 31 a data store section (corresponding to the floppy disk 4).

The data 32 transferred from the data collector 2 is
As shown in the upper part of the figure, (i) skew amount and set direction information ■.

(ii) Length information of data 32■.

(iii) Conveyance speed information ■ of banknotes 18'.

(iv)) Rank position information■.

(v) It has a data format with sense data. and,
From the data input unit 28 shown in FIG. 4, the additional data ■■O■ is added to the data 32 as described above, and the entire information 33 is stored on the Fronbi disk 4 and supplied to the data processing device 1. be done.

A data base 6 is prepared in the data processing device 1 and is stored on the floppy disk 4 described above.

A group of information 33 collected as described above is stored.

The data processing device 1 includes functional units such as those described with reference to FIG. , 8, 9, 10.11°12.13, etc. The processing mode in each functional unit will be briefly described below.

☆ Conveying state evaluation unit 7゜ Histogram corresponding to each conveying speed and each skew (banknote 18
′ is conveyed with it set diagonally)) Take a histogram corresponding to the amount.

Ensuring that collected data is deleted in extreme cases.

☆ Data base information evaluation section 8゜ Take histograms for each denomination, set direction, etc., and check to see if there is any extreme imbalance.

☆ Bill side data change monitoring unit 9° The bill discrimination results applied to the operating bill validator 5 and the data collected at the time of discrimination are sent to the data processing device 1, for example, periodically or at any time, and based on this information , the discrepancy with the information held on the database 6 is determined.

☆ Sample data creation department 10゜ Information collected on database 6.

Taking into account variations in the sensors of the banknote validator,
A predetermined number of sample data applicable to all sensors are extracted without changing the properties of the population, and a correct discrimination simulation or an incorrect discrimination simulation is performed.

☆ Discrimination data synthesis unit 11゜The banknotes are conveyed diagonally in the test target discriminator.
A) Data from the crease region on top may be extracted as that of the crease region on track T, +2. In such a case, the data that would be collected by the test target classification machine is synthesized. That is, the arrow (A
) for each fold area.

This data exists on the database 6, and the desired data is synthesized by sequentially passing through this data. Additionally, data corresponding to the case where the sensor placement position is changed is also synthesized as necessary.

☆ Recognition logic unit 12゜When discriminating banknotes, it is sufficient to discriminate between 2, for example, 10,000 yen bills, 5,000 yen bills, 1,000 yen bills, and 500 yen bills. However, there are also two-bill analogues that can be passed through a two-bill bill validator. From this, 2. For example, if the object to be identified is 10,000 yen, just because the distance from the standard time trace amount of the 10,000 yen bill is within the predetermined darkness value, the object to be identified is 10,000 yen.
Distance from standard time minute amount of other 5,000 yen bills, distance from standard time minute amount of 1,000 yen bills, 500 yen bill 0
Distance from standard time trace.

Further, the distance between the standard time trace amount of all white paper and all black paper is checked, and if the object to be identified is worth 10,000 yen, it is classified as 10,000 yen.

☆ Discrimination Sensor Evaluation Unit 13 In the discrimination machine to be tested, there may be a problem as to whether the sensor of the model #A or the sensor of another model #B should be used. In such a case, check the Euclidean distance (or Mahalanobis distance) when a 90% discrimination rate can be obtained, and use the sensor that can obtain the above 90% discrimination rate at a smaller distance. It is desirable to do so. The discrimination sensor evaluation unit 13 is configured to perform such a test.

〔Effect of the invention〕

As explained above, according to the present invention, it is possible to collect a finite amount of data, create preferable sample data, and perform various tests. From this point of view, it becomes possible to perform tests on, for example, what kind of sensor should be placed at what position.

[Brief explanation of drawings]

Fig. 1 is a diagram of the principle configuration of the present invention, Fig. 2 is an example of the structure of a banknote data collector, Fig. 3 is an explanatory diagram for explaining the collection of banknote data, Fig. 4 is the structure of a data editing device, and Fig. 5 represents one example of collected information (data format). In the figure, ■ is a data processing device, 2 is a banknote data collector, and 3 is a data processing device.
1 is a data editing device, 4 is a floppy disk, 6 is a database, 8 is a data pace information evaluation unit, 10
11 represents a specimen data generation section, 11 represents a discrimination data instruction formation section, and 12 represents a recognition logic section.

Claims (1)

[Claims] A data collector (
2); a data editing device (3) that adds additional data regarding the data to the data read by the data collector (2); and a data editing device (3) that holds information edited by the data editing device (3). In a paper sheet identification machine development system that includes at least a data base (6) and a data processing device (1) that has an information processing function unit that processes information in the database (6), The processing function unit includes at least a conveyance status evaluation unit (7) that evaluates the validity of the collection status of the data collected by the data collector (2).
), a data base information evaluation unit (8) that performs checks on the data collected by the data collector (2), including data acquisition condition checks and abnormal data contamination checks, and the collected data base. (6) A specimen data creation unit (10) that uses the above information to create specimen data used for paper leaf identification; and a specimen data creation unit (10) that uses the information on the above database (6) to create specimen data that is used for paper leaf identification. A discrimination data synthesis section (11) that synthesizes desired data for the above-mentioned paper sheet discrimination, and a recognition logic section (12) that performs processing based on the recognition logic used for the above-mentioned paper sheet discrimination. Based on the data obtained, sample data to be used for paper leaf discrimination is created, and the paper leaf discrimination machine to be tested is tested using the results recognized by the recognition logic section (12). A system for developing a paper sheet identification machine, characterized in that it evaluates the following: