CN211087376U - Intelligent automatic foreign currency and paper currency sorting system of currency counting and detecting machine - Google Patents

Abstract

The utility model discloses an automatic coin system of this foreign currency paper currency of intelligence point counterfeit money detector, have image acquisition module and image processing module, image acquisition module includes CIS image acquisition circuit, code wheel signal generation circuit and FPGA control circuit, wherein CIS image acquisition circuit sends the image raw data of gathering to FPGA control circuit through AD converting circuit, code wheel signal generation circuit gathers the paper money displacement and produces pulse signal and send to FPGA control circuit when the currency count machine operates; the FPGA control circuit processes the data transmitted by the CIS image acquisition circuit and the signal of the code disc signal generation circuit, outputs an image signal and transmits the image signal to the image processing module. The utility model discloses to different currency types, different issue banks, different denominations, different version, the bank note of different lower paper money direction distinguish various this foreign currency paper currency through unified algorithm, need not that the manual input of user is some paper currency bank note information and can automatic identification this foreign currency paper currency bank note information.

Description

Intelligent automatic foreign currency and paper currency sorting system of currency counting and detecting machine

Technical Field

The utility model relates to a bank note sorting device specifically is an automatic coin system of this foreign currency paper currency of intelligence point counterfeit money detector.

Background

The currency counting and detecting machine is a machine integrating counting and false currency identification. Due to the large scale of cash circulation and heavy cash processing work of a bank teller counter, the cash counter becomes an indispensable device. With the development of printing technology, copying technology and electronic scanning technology, the manufacturing level of counterfeit money is higher and higher, and the counterfeit identification performance of the money counter must be continuously improved.

At present, most of currency counting and detecting machines manually input currency names, after currency counting is started, the currency counting machines automatically identify denominations and versions, and when some banks need native paper money and foreign paper money to be mixed into one bundle of currency counting, the operation is very complicated and time-consuming, and manual currency input errors easily occur, so that currency counting information is wrong, and more serious consequences are caused.

SUMMERY OF THE UTILITY MODEL

To lead to counting currency information to appear the mistake so as to cause more serious consequence etc. not enough easily when mixing a bundle of counting currency to local paper currency and foreign currency paper currency among the prior art, the to-be-solved problem of the utility model is to provide an intelligent point counterfeit money detector of this foreign currency paper currency automatic coin system that can improve work efficiency, avoid appearing wrong information.

In order to solve the technical problem, the utility model discloses a technical scheme is:

the utility model relates to an automatic coin system of this foreign currency paper currency of intelligence point counterfeit money detector has image acquisition module and image processing module, and image acquisition module includes CIS image acquisition circuit, code wheel signal production circuit and FPGA control circuit, and wherein CIS image acquisition circuit sends the image raw data of gathering to FPGA control circuit through AD converting circuit, and code wheel signal production circuit gathers the paper money displacement and produces pulse signal and send to FPGA control circuit when the currency count machine operates; the FPGA control circuit processes the data transmitted by the CIS image acquisition circuit and the signal of the code disc signal generation circuit, outputs an image signal and transmits the image signal to the image processing module.

The CIS image acquisition circuit comprises a CIS sensor image signal circuit, a CIS sensor light control circuit and an AD analog-to-digital conversion circuit, wherein the output end of the CIS sensor image signal circuit is connected with the AD analog-to-digital conversion circuit, and the CIS sensor light control circuit receives a control instruction of the FPGA control unit and outputs a driving signal to be connected to a control circuit of an exposure lamp tube in the CIS sensor.

The mechanical code wheel is fixedly installed on a paper tape transmission shaft of the code spraying machine through a code wheel shaft hole and is connected with a paper tape motor shaft in the code spraying machine through a synchronous belt in a transmission mode, a code wheel disc body is matched with a sensing receiving part of an infrared photoelectric switch sensor, and the infrared photoelectric switch sensor is installed on a fixed support.

The utility model has the following beneficial effects and advantages:

1. the utility model relates to an automatic coin system of this foreign currency paper currency of intelligence point counterfeit money detector can all be discerned more fast, accurate, effectively to different currency types, different issuing banks, different denominations, different versions and the different bank notes that descend the paper money direction.

2. The utility model discloses fine application modularized design and the technical thought of item-by-item comparison, with the automatic coin system design of multiple this foreign currency paper currency bank note in a module to come the perfect differentiation of various this foreign currency paper currency through unified algorithm. The automatic identification system can truly realize the automatic identification of the foreign currency and paper currency information without manually inputting the information of the checked paper currency and paper currency by a user.

Drawings

FIG. 1 is a functional diagram of an image acquisition module of the present invention,

FIG. 2 is a diagram of a CIS sensor installation structure in an image acquisition module according to the present invention,

FIG. 3 is a functional diagram of an image processing module according to the present invention,

fig. 4 is a flowchart of the iterative method for calculating the threshold value in the image processing module of the present invention.

FIG. 5 is a signal circuit of the code wheel of the present invention;

FIG. 6 shows a CIS sensor circuit according to the present invention;

fig. 7 is an AD/d conversion circuit of the present invention;

fig. 8 is the utility model discloses well FPGA chip circuit.

Wherein, 1 is an upper CIS sensor, and 2 is a lower CIS sensor.

Detailed Description

The invention will be further explained with reference to the drawings attached to the specification.

As shown in figure 1, the utility model relates to an automatic coin system of this foreign currency paper currency of intelligence point counterfeit money detector has image acquisition module and image processing module, and image acquisition module includes CIS image acquisition circuit, code wheel signal generating circuit and FPGA control circuit, and wherein CIS image acquisition circuit sends the image raw data of gathering to FPGA control circuit through AD converting circuit, and code wheel signal generating circuit gathers the paper money displacement and produces pulse signal and send to FPGA control circuit when the cash counter operates; the FPGA control circuit processes the data transmitted by the CIS image acquisition circuit and the signal of the code disc signal generation circuit, outputs an image signal and transmits the image signal to the image processing module.

The CIS image acquisition circuit comprises a CIS sensor image signal circuit, a CIS sensor light control circuit and an AD analog-to-digital conversion circuit, wherein the output end of the CIS sensor image signal circuit is connected with the AD analog-to-digital conversion circuit, and the CIS sensor light control circuit receives a control instruction of the FPGA control unit and outputs a driving signal to be connected to a control circuit of an exposure lamp tube in the CIS sensor.

The CIS sensors comprise an upper CIS sensor 1 and a lower CIS sensor 2 which are respectively arranged at the upper side and the lower side of the banknote passing channel, as shown in figure 2.

Mechanical code wheel passes through code wheel shaft hole fixed mounting on the paper tape transmission shaft of ink jet numbering machine to pass through synchronous belt drive with the paper tape motor shaft in the ink jet numbering machine and be connected, the code wheel disk body cooperates with infrared photoelectric switch sensor's response receiving part, and infrared photoelectric switch sensor installs on the fixed bolster.

The utility model discloses in, the resistance that the bank note receives when automatic coin system is inside to be removed is different, but the code wheel signal is irrelevant with the resistance, through the code wheel produce with walk the corresponding displacement signal of bank note and trigger image acquisition for the picture size is more close the physical dimension, true response the actual displacement of bank note.

The utility model is used for carry out automatic identification to this foreign currency paper currency bank note and handle, constitute by image acquisition module and image processing module two parts, image acquisition module is used for carrying out image acquisition to the bank note, comprises CIS image acquisition circuit, code wheel signal production circuit and FPGA control system. The CIS image acquisition circuit consists of a CIS sensor image signal circuit, a CIS sensor light control circuit and an AD analog-to-digital conversion circuit; the coded disc signal generating circuit mainly comprises a magnetic encoder and a magnet, and can convert the displacement of the bank note during the operation of the bank note counter into a pulse signal; the FPGA control system mainly comprises an FPGA and peripheral circuits thereof, wherein the FPGA is internally provided with signal time sequence processing software such as an image code disc and the like, and is used for CIS image acquisition time sequence control and code disc signal processing. The image acquisition module transmits the processed image data to the DSP main control system through a corresponding interface for processing.

The utility model discloses the automatic coin separating method that divides of this foreign currency paper currency automatic coin separating system of intelligence point counterfeit money detector adopted, including following step:

counting the size value of paper money, putting the paper money of the same currency, the same issuing bank, the same denomination and the same edition into an intelligent currency counting and detecting machine for counting the paper money for multiple times, acquiring size data, recording height and width values, estimating the maximum value and the minimum value of the height and the maximum value and the minimum value of the width of the image of the same paper money by a statistical method, and storing the maximum value and the minimum value of the width into a template database;

after being processed by the image acquisition module, the currency counting currency obtains the information of the currency meeting the size condition by reading the size value and comparing the size value with all sizes in the template database;

calling out the full-width binary image of the paper money with similar size from the template database, comparing the full-width binary image with the full-width binary image of the paper money to screen out the paper money information with similar full-width binary image, and judging the currency, bank, version, denomination and feeding direction value of the paper money checked by the intelligent cash register.

The utility model discloses a method still includes following step:

extracting a regional image of the currency division characteristics from an image obtained by rotationally correcting the paper money and the paper money, comparing the screened paper money information after the comparison of the full-width binary image information of the paper money and the paper money, calling out regional image binary data of the currency division characteristics of the paper money and the paper money information which are just screened from a template database, and comparing the regional image binary data of the currency division characteristics of the paper money and the paper money to select a paper money value with the closest result, thereby more accurately identifying the currency type, issuing bank, version, denomination and currency descending direction information of the paper money and the paper money counting paper and the paper money.

The image processing module performs the following processing through the banknote image data acquired by the image acquisition module:

1) calculating the inclination angle of the image, wherein the banknote rotates to the banknote direction of the positive front or the reverse back when the inclination angle is larger than the inclination angle limit threshold;

2) calculating the size value of the image, comparing the size value with the size limit values of various paper currencies in the template database, and screening out M paper currencies with similar sizes;

3) binarizing the full-width banknote image, comparing the full-width binarized image with the full-width binarized images of M kinds of banknotes in the template database, and screening out N kinds of images;

4) and carrying out binarization processing on the N images to generate a banknote feature area image, comparing the image value with the binarization banknote feature area image value of the N banknotes in the template database, and screening out the banknote with the closest image value, namely the automatic banknote sorting result.

Calculating a threshold value by adopting an iterative method, specifically:

101) presetting a threshold value T, and solving an average value T1 of the threshold value for pixel points with the gray value larger than T in the image;

102) solving an average value T2 of the threshold value of the pixel points smaller than T in the image;

103) if the | T1-T2| < Δ, the current T is the best threshold, otherwise, T ═ T1+ T2)/2 cycles of the above comparison operation.

The gray image needs to be converted into a binary image, namely a black and white image, a threshold value is needed, and the pixel value of the gray image is white when being larger than the threshold value and is black when being smaller than the threshold value.

As shown in fig. 3, the image acquisition module processes the image data and transmits the processed image data to the DSP main control system through a corresponding interface for processing. The image processing module realizes automatic identification of the pointed paper money by taking the image size limit value, the binary full-width image value and the binary partial characteristic region image value of the foreign currency paper money as a template database compared by the whole automatic identification and division system, reads the size, namely the height and width values of the pointed paper money after the CIS image of the pointed paper money is collected and the inclination angle of the rotating image is positive or negative, screens out M kinds of paper money information with similar sizes in the template database, compares the binary full-width image value of the pointed paper money with the binary full-width image value of the M kinds of paper money just screened out from the template database, and finally compares the binary partial characteristic region image value of the pointed paper money with the N kinds of paper money image values screened out from the template database, wherein the comparison result is that the N kinds of paper money information are closer to the binary full-width image value of the pointed paper money (M > -N), and finally compares the binary partial characteristic region image value of the pointed paper money with the N kinds of the paper money screened out from the template database Comparing the binary separated characteristic image values of the paper money, selecting the closest paper money type, and determining that the checked paper money is the last selected paper money, namely the whole automatic identification process.

As shown in fig. 4, the detailed description of the iterative threshold calculation module sets a threshold T in advance, calculates a threshold average value T1 for pixels in the image whose gray scale value is greater than T, calculates a threshold average value T2 for pixels in the image which are less than T, calculates the current T as the optimal threshold if | T1-T2| < Δ, otherwise calculates T as (T1+ T2)/2 cycles the above comparison operation.

As shown in FIG. 5, the code wheel signal generating circuit works as follows:

the coded disc signal generating circuit converts the actual displacement signal of the bank note into a pulse signal when the bank note counter operates;

as shown in fig. 6, the operation of the CIS sensor light control circuit is described as follows:

after capturing the pulse signal, the FPGA controls different lights to output for many times according to the time sequence of the CIS sensor, and the CIS generates an analog signal CIS _ VIN of multiple image data under different lights;

as shown in fig. 7, the working process of the AD analog-to-digital conversion circuit is described as follows:

the CIS _ VIN signal is amplified in a certain proportion in an AD chip through an AD analog-to-digital conversion circuit, and an amplified digital bus signal CIS _ DATA is output;

as shown in fig. 8, the FPGA controls the system circuit, and the operation process is described as follows:

the FPGA acquires and stores a digital bus signal CIS _ DATA of an image in an internal RAM to form image DATA, the FPGA transmits a plurality of pairs of image DATA to a main control system according to a certain interface for processing, and an original image signal acquired from the CIS is acquired by a self-adaptive image acquisition processing system and successfully transmitted to a DSP main control panel.

The automatic recognition algorithm template comprises CIS image rotation correction of the currency counting and paper money, size value acquisition, calculation of a binarization full-breadth image value, calculation of a binarization coin dividing characteristic region image value, and comparison through a series of algorithms and a template database to obtain the automatic recognition result of the foreign currency and paper money. The process is as follows:

(1) after the boundary points of the paper money are positioned, calculating the inclination angle of the paper money by using the coordinates of the boundary points, and performing rotation correction processing on the paper money exceeding the inclination angle limit value;

(2) acquiring a size value of a paper money image;

(3) image Binarization (Image Binarization) is a process of setting the gray value of a pixel point on an Image to be 0 or 255, namely, the whole Image presents an obvious black-white effect. In digital image processing, a binary image occupies a very important position, and the binarization of the image greatly reduces the data amount in the image, so that the outline of a target can be highlighted, and the further processing and utilization of the image data are facilitated. The gray image is converted into a binary image, and one of the most common methods for image binarization is to set a threshold value T, divide the image data into two parts by using T, adjust the pixel points smaller than the threshold value T to 0, and adjust the pixel points larger than the threshold value T to 255, i.e. two colors, i.e. non-black and white. Whether the threshold is selected properly or not plays a decisive role in the effect of image segmentation. The accuracy of automatic coin sorting plays a decisive role, and the method for solving the threshold value by the system adopts an iteration method which mainly adopts a circular iteration method to gradually approach the optimal threshold value;

(4) the method comprises the steps that a binarization full-breadth image is obtained, most main images of paper money and bank notes issued by different banks are obviously different, and a part of paper money and bank note results which are not close to the binarization full-breadth image value can be removed from a previous-level screening result by comparing the binarization full-breadth image value of the checked paper money and the binarization full-breadth image value of the foreign currency paper money which is close to the checked paper money in size in a template database;

(5) a binarization currency division characteristic area image aims to make up the deficiency of automatic currency division of a binarization full-breadth image and improve the accuracy of a currency division result, in paper currency bills with similar sizes, each paper currency bill is selected to be a characteristic area image different from other paper currency bills, binarization processing is carried out on the characteristic area image, the characteristic area image is compared with a template library data binarization currency division characteristic area image value, and finally a closest paper currency bill result, namely an automatic currency division result of a pointed paper currency bill, is selected.

Claims (3)

1. The utility model provides an automatic coin system of separating of this foreign currency paper currency of intelligence point counterfeit money detector which characterized in that: the system is provided with an image acquisition module and an image processing module, wherein the image acquisition module comprises a CIS image acquisition circuit, a code disc signal generation circuit and an FPGA control circuit, the CIS image acquisition circuit transmits acquired image original data to the FPGA control circuit through an AD conversion circuit, and the code disc signal generation circuit acquires the banknote displacement when the banknote counter operates and generates a pulse signal to be transmitted to the FPGA control circuit; the FPGA control circuit processes the data transmitted by the CIS image acquisition circuit and the signal of the code disc signal generation circuit, outputs an image signal and transmits the image signal to the image processing module.

2. The automatic foreign currency and paper currency sorting system of the intelligent currency counting and detecting machine as claimed in claim 1, wherein: the CIS image acquisition circuit comprises a CIS sensor image signal circuit, a CIS sensor light control circuit and an AD analog-to-digital conversion circuit, wherein the output end of the CIS sensor image signal circuit is connected with the AD analog-to-digital conversion circuit, and the CIS sensor light control circuit receives a control instruction of the FPGA control unit and outputs a driving signal to be connected to a control circuit of an exposure lamp tube in the CIS sensor.

3. The automatic foreign currency and paper currency sorting system of the intelligent currency counting and detecting machine as claimed in claim 1, wherein: the mechanical code wheel is fixedly installed on a paper tape transmission shaft of the code spraying machine through a code wheel shaft hole and is in transmission connection with a paper tape motor shaft in the code spraying machine through a synchronous belt, a code wheel disc body is matched with a sensing receiving part of an infrared photoelectric switch sensor, and the infrared photoelectric switch sensor is installed on a fixed support.

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