CN107909707A - A kind of coin recognizing method algorithm and system - Google Patents
A kind of coin recognizing method algorithm and system Download PDFInfo
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- CN107909707A CN107909707A CN201711022520.2A CN201711022520A CN107909707A CN 107909707 A CN107909707 A CN 107909707A CN 201711022520 A CN201711022520 A CN 201711022520A CN 107909707 A CN107909707 A CN 107909707A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/02—Testing electrical properties of the materials thereof
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Abstract
The invention discloses a kind of coin recognizing method algorithm and system, this method to comprise the following steps：Using high frequency AD sampling channels, real-time AD samplings and filtering process are carried out to current vortex sensor；According to high frequency AD sampled values, determine whether coin by if without coin by the way that return continues to sample, conversely, continuing to execute；When have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, after carrying out real-time AD samplings and filtering process to current vortex sensor, obtain low frequency, intermediate frequency, high frequency AD sampled values；After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, high-frequency characteristic value；The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, carry out coin recognizing method.The present invention by characteristic value comparison realizes coin recognizing method, can company of identification coin, accuracy of identification is high, speed is fast, and work efficiency height, can be widely applied in coin recognizing method industry.
Description
Technical field
The present invention relates to coin false distinguishing field, more particularly to a kind of coin recognizing method algorithm and system.
Background technology
Existing a variety of coin false-identifying devices at present, are mainly divided to two major classes.A kind of optical detection, it is another kind of to be sensed for current vortex
Device.Current vortex sensor is small since it is simple with principle, easy to implement, and coin material itself can be examined
The advantages that survey, therefore be widely used.The detection process of current vortex sensor can be detected with crossover rate again, phase-detection and amplitude
Detection, can be realized by these features and carry out true and false differentiation and the identification of face amount to coin.Existing current vortex false distinguishing sensing
Device must assure that to separate between coin and coin when working a certain distance, then passes sequentially through sensor and be detected, can not
This, which allows whole detection speed to be restricted, is effectively differentiated to company's coin, and, it is necessary to again during discrimination process appearance company's coin
It is detected, seriously affects detection efficiency.
The content of the invention
In order to solve above-mentioned technical problem, the object of the present invention is to provide a kind of coin recognizing method algorithm and system.
The technical solution adopted by the present invention to solve the technical problems is：
A kind of coin recognizing method algorithm, comprises the following steps：
Using high frequency AD sampling channels, real-time AD samplings and filtering process are carried out to current vortex sensor；
According to high frequency AD sampled values, determine whether coin by, if judge no coin by, return continues to sample,
Conversely, continue to execute；
When judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex sense
After device carries out real-time AD samplings and filtering process, low frequency, intermediate frequency, high frequency AD sampled values are obtained；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, height
Frequency characteristic value；
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, carry out coin knowledge
Not.
It is further, described that the low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse,
The step of carrying out coin recognizing method, is specially：
After the low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, coin is obtained
Classification situation, and then identify company's coin state, true and false state and the denomination for obtaining coin, and quantity statistics is carried out to coin.
Further, the default characteristic value data storehouse is established in the following manner：
For the coin of the different values of money of every kind of classification, when coin passes through current vortex sensor, using low frequency, intermediate frequency,
Three AD sampling channels of high frequency, after carrying out real-time AD samplings and filtering process to current vortex sensor, obtain low frequency, intermediate frequency, height
Frequency AD sampled values；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, height
Frequency characteristic value；
For different coins, after repeating multiple above-mentioned steps, the corresponding low frequency of the coin, intermediate frequency, high frequency are obtained
The range of characteristic values of characteristic value；
The range of characteristic values of a variety of value of money coins of a variety of classification is established into default characteristic value data storehouse.
It is further, described that the low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse,
The step of carrying out coin recognizing method, it is specially：
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, according to low frequency, in
Frequently, the range of characteristic values residing for high-frequency characteristic value, obtains the classification situation of corresponding coin, and then identifies the company's coin for obtaining coin
State, true and false state and denomination, and quantity statistics is carried out to coin.
Further, it is described respectively to low frequency, intermediate frequency, high frequency AD sampled values carry out fusion treatment after, calculate obtain it is corresponding
The step of low frequency, intermediate frequency, high-frequency characteristic value, it is specially：
According to the following formula, after carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculating is corresponded to
Low frequency, intermediate frequency, high-frequency characteristic value：
Wherein, V1 represents high-frequency characteristic value, and V2 represents intermediate frequency characteristic value, and V3 represents characteristics of low-frequency value, and AD_L represents low frequency
AD sampled values, AD_M represent intermediate frequency AD sampled values, and AD_H represents high frequency AD sampled values.
Further, it is described when judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, it is right
Current vortex sensor carries out the step of real-time AD samplings are with after filtering process, low frequency, intermediate frequency, high frequency AD sampled values is obtained, specifically
Including：
When judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex sense
Device carries out real-time AD samplings；
According to the following formula, after being filtered processing to sampled data, low frequency, intermediate frequency, high frequency AD sampled values are obtained：
Wherein, AD_L represents low frequency AD sampled values, and AD_M represents intermediate frequency AD sampled values, and AD_H represents high frequency AD sampled values,
V_L represents low frequency real-time sampling value, and V_M represents intermediate frequency real-time sampling value, and V_H represents high frequency real-time sampling value, Sample_ successively
L, Sample_M, Sample_H represent the circulating sampling buffer area that basic, normal, high three corrugation depths are 16 respectively, and i represents sequence
Number, value is 0~15 integer, and A_L represents the summation of Sample_L, and A_M represents the summation of Sample_M, and A_H is represented
The summation of Sample_H.
Further, it is further comprising the steps of：
After carrying out AD samplings every time, one of circulating sampling buffer area is updated using low frequency, intermediate frequency, high frequency real-time sampling value
Value.
Another technical solution is used by the present invention solves its technical problem：
A kind of coin recognizing method system, including storage medium and processor, the storage medium are stored with least one instruction,
The processor is used to load at least one instruction, and then performs following steps：
Using high frequency AD sampling channels, real-time AD samplings and filtering process are carried out to current vortex sensor；
According to high frequency AD sampled values, determine whether coin by, if judge no coin by, return continues to sample,
Conversely, continue to execute；
When judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex sense
After device carries out real-time AD samplings and filtering process, low frequency, intermediate frequency, high frequency AD sampled values are obtained；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, height
Frequency characteristic value；
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, carry out coin knowledge
Not.
Further, the default characteristic value data storehouse is established in the following manner：
For the coin of the different values of money of every kind of classification, when coin passes through current vortex sensor, using low frequency, intermediate frequency,
Three AD sampling channels of high frequency, after carrying out real-time AD samplings and filtering process to current vortex sensor, obtain low frequency, intermediate frequency, height
Frequency AD sampled values；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, height
Frequency characteristic value；
For different coins, after repeating multiple above-mentioned steps, the corresponding low frequency of the coin, intermediate frequency, high frequency are obtained
The range of characteristic values of characteristic value；
The range of characteristic values of a variety of value of money coins of a variety of classification is established into default characteristic value data storehouse.
It is further, described that the low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse,
The step of carrying out coin recognizing method, it is specially：
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, according to low frequency, in
Frequently, the range of characteristic values residing for high-frequency characteristic value, obtains the classification situation of corresponding coin, and then identifies the company's coin for obtaining coin
State, true and false state and denomination, and quantity statistics is carried out to coin.
The method of the present invention, the beneficial effect of system are：The present invention by current vortex sensor is carried out real-time AD sampling and
After filtering process, low frequency, intermediate frequency, high frequency AD sampled values are obtained, and then after calculating acquisition low frequency, intermediate frequency, high-frequency characteristic value, pass through
Characteristic value compares and realizes coin recognizing method, not only can company of identification coin, but also accuracy of identification is high, speed is fast, work efficiency height.
Brief description of the drawings
Fig. 1 is the flow chart of the specific embodiment of the coin recognizing method algorithm of the present invention；
Fig. 2 be the coin recognizing method algorithm of the present invention specific embodiment in single coin when passing through current vortex sensor AD adopt
The curve map that sample obtains；
Fig. 3 is to connect AD samplings when coin passes through current vortex sensor in the specific embodiment of the coin recognizing method algorithm of the present invention to obtain
The curve map obtained；
Fig. 4 is the electronic block diagrams of the specific embodiment of the coin recognizing method system of the present invention.
Embodiment
Recognizer embodiment
With reference to Fig. 1, the present invention provides a kind of coin recognizing method algorithm, comprise the following steps：
S1, using high frequency AD sampling channels, real-time AD samplings and filtering process are carried out to current vortex sensor；
S2, according to high frequency AD sampled values, determine whether coin by if judging no coin by the way that return continues to adopt
Sample, conversely, continuing to execute S3；
S3, when judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex pass
After sensor carries out real-time AD samplings and filtering process, low frequency, intermediate frequency, high frequency AD sampled values are obtained；
S4, after carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate obtain corresponding low frequency, in
Frequently, high-frequency characteristic value；
S5, the low frequency of acquisition, intermediate frequency, high-frequency characteristic value be compared with default characteristic value data storehouse, carries out coin
Identification.
Preferred embodiment is further used as, the step S4, is specially：
After the low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, coin is obtained
Classification situation, and then identify company's coin state, true and false state and the denomination for obtaining coin, and quantity statistics is carried out to coin.
Preferred embodiment is further used as, default characteristic value data storehouse is by following described in the step S5
What mode was established：
S01, for every kind of classification different values of money coin, when coin passes through current vortex sensor, using low frequency, in
Frequently, three AD sampling channels of high frequency, after carrying out real-time AD samplings and filtering process to current vortex sensor, obtain low frequency, intermediate frequency,
High frequency AD sampled values；
S02, after carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate obtain corresponding low frequency, in
Frequently, high-frequency characteristic value；
S03, for different coins, after repeating multiple above-mentioned steps, obtain the corresponding low frequency of the coin, intermediate frequency,
The range of characteristic values of high-frequency characteristic value；
S04, by the range of characteristic values of a variety of value of money coins of a variety of classification establish default characteristic value data storehouse.
The process of S01~S04 is characterized identification process, by the identification process of S01~S04, can establish different coins
Range of characteristic values, provide basis for follow-up coin recognizing method.
For example, the range of characteristic values for working as the high-frequency characteristic value that identification obtains certain coin is 0-50, the feature of intermediate frequency characteristic value
Value scope is 100-200, and the range of characteristic values of characteristics of low-frequency value is 80-120, then, can basis in the identification process of coin
Whether low frequency, intermediate frequency, high-frequency characteristic value fall in this scope to determine whether to correspond to coin.
Preferred embodiment is further used as, the step S5, it is specially：
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, according to low frequency, in
Frequently, the range of characteristic values residing for high-frequency characteristic value, obtains the classification situation of corresponding coin, and then identifies the company's coin for obtaining coin
State, true and false state and denomination, and quantity statistics is carried out to coin.
Illustrated in Fig. 2 when a coin passes through current vortex sensor, three low frequency, intermediate frequency, high frequency AD sampling channels are adopted
Complete low frequency curve, intermediate frequency curve and the high frequency curve that sample obtains, wherein vertical line are characterized value sampled point, and sequential is in Fig. 2
From left to right.Illustrated in Fig. 3 when two coins connect coin and pass through current vortex sensor, three low frequency, intermediate frequency, high frequency AD samplings
Complete low frequency curve, intermediate frequency curve and the high frequency curve that channel sample obtains, wherein vertical line are characterized value sampled point, in Fig. 3
Sequential is from left to right.By to substantial amounts of single piece of coin by waveform and even coin by waveform analysis after draw a conclusion,
It was found that the material of wavy curve and coin has a much relations, the i.e. coin to identical material, single coin by when, high frequency, in
Frequently, low frequency waveform indicatrix difference is basically identical.Even coin by when, protected when only high frequency song characteristic curve can also pass through with Dan Mei
Hold unanimously, different degrees of floating occur in intermediate frequency and low frequency curve, but float value there are much relations with coin material.It is i.e. same
Kind coin float value is consistent, and different coins has different float values.Therefore, this method is realized by characteristic value comparison
Coin recognizing method, not only can the company's of identification coin, accuracy of identification is high, speed is fast, and work efficiency is high.
In step S1, by using high frequency AD sampling channels always, real-time AD samplings and filter are carried out to current vortex sensor
Ripple processing obtains high frequency AD sampled values, and when high frequency AD sampled values significantly decrease, expression might have coin and pass through current vortex
Sensor, in step S2, when judging that high frequency AD sampled values drop to the threshold range of a setting, it can be determined that there is coin to lead to
Cross.Judge to have coin by this way by rear, execution step S3, while using three low frequency, intermediate frequency, high frequency AD sampling channels
Sampled, obtain low frequency, intermediate frequency, high frequency AD sampled values, then calculated by step S4 and obtain corresponding low frequency, intermediate frequency, high frequency
After characteristic value, it can be compared with default characteristic value data storehouse, realize coin recognizing method.Recognition principle is as follows：According to high frequency
Number range residing for characteristic value obtains the rough classification of coin, then the number according to residing for characteristics of low-frequency value and intermediate frequency characteristic value
It is worth scope, compares the specific of acquisition coin and connect coin state, true and false state and denomination, can also be right after identification obtains denomination
Coin carries out quantity statistics.
Preferred embodiment is further used as, the step S4, it is specially：
According to the following formula, after carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculating is corresponded to
Low frequency, intermediate frequency, high-frequency characteristic value：
Wherein, V1 represents high-frequency characteristic value, and V2 represents intermediate frequency characteristic value, and V3 represents characteristics of low-frequency value, and AD_L represents low frequency
AD sampled values, AD_M represent intermediate frequency AD sampled values, and AD_H represents high frequency AD sampled values.
As it appears from the above, the high frequency curve medium-high frequency characteristic value V1 of same coin is basically identical, the i.e. fluctuation of V1
The residing scope of value is consistent, therefore the rough classification of coin can be judged by V1, is then further identified with V2 and V3
Coin.Such as certain coin, V2 is 60 when its single coin passes through current vortex sensor, is even 90 during coin, therefore, actual
In judgement, it is also necessary to identify coin with reference to even coin state.It is current as company when being judged according to the detection of the variation tendency of high frequency curve
Coin state, and the value of V2 be 60 when, then illustrate that current coin is not belonging to this kind of coin.Similarly, when detection judges current non-even coin
When the value of state but V2 are 90, also illustrate that current coin is not belonging to this kind of coin.In the present embodiment, because using high frequency always
AD sampling channels, sample current vortex sensor, therefore can judge to be currently according to the variation tendency of high frequency curve
No is to connect coin state.
Preferred embodiment is further used as, the step S3, specifically includes：
S31, when judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex
Sensor carries out real-time AD samplings；
S32, according to the following formula, after being filtered processing to sampled data, obtains low frequency, intermediate frequency, high frequency AD sampled values：
Wherein, AD_L represents low frequency AD sampled values, and AD_M represents intermediate frequency AD sampled values, and AD_H represents high frequency AD sampled values,
V_L represents low frequency real-time sampling value, and V_M represents intermediate frequency real-time sampling value, and V_H represents high frequency real-time sampling value, Sample_ successively
L, Sample_M, Sample_H represent the circulating sampling buffer area that basic, normal, high three corrugation depths are 16 respectively, and i represents sequence
Number, value is 0~15 integer, and A_L represents the summation of Sample_L, and A_M represents the summation of Sample_M, and A_H is represented
The summation of Sample_H.
The concrete condition of A_L, A_M and A_H are as follows：
Preferred embodiment is further used as, it is further comprising the steps of：
After carrying out AD samplings every time, one of circulating sampling buffer area is updated using low frequency, intermediate frequency, high frequency real-time sampling value
Value.
The process being filtered to AD_L, AD_M and AD_H, is every time from Sample_L, Sample_M, Sample_H
Select an element i to average, realize filtering, lower the influence of random external interference signal.
This step, after each AD samplings, using a value of newest real-time sampling value renewal circulating sampling buffer area
Sample_L [i], Sample_M [i], Sample_H [i], it is ensured that the low frequency that finally obtains, intermediate frequency, high frequency AD sampled values
Closer to actual real value, sampling precision is improved.
Identifying system embodiment of the present invention
With reference to Fig. 4, present invention also offers a kind of coin recognizing method system, including storage medium 100 and processor 200, institute
State storage medium 100 and be stored with least one instruction, the processor 200 is used to load at least one instruction, and then holds
Row following steps：
Using high frequency AD sampling channels, real-time AD samplings and filtering process are carried out to current vortex sensor；
According to high frequency AD sampled values, determine whether coin by, if judge no coin by, return continues to sample,
Conversely, continue to execute；
When judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex sense
After device carries out real-time AD samplings and filtering process, low frequency, intermediate frequency, high frequency AD sampled values are obtained；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, height
Frequency characteristic value；
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, carry out coin knowledge
Not.
Preferred embodiment is further used as, the default characteristic value data storehouse is established in the following manner：
For the coin of the different values of money of every kind of classification, when coin passes through current vortex sensor, using low frequency, intermediate frequency,
Three AD sampling channels of high frequency, after carrying out real-time AD samplings and filtering process to current vortex sensor, obtain low frequency, intermediate frequency, height
Frequency AD sampled values；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, height
Frequency characteristic value；
For different coins, after repeating multiple above-mentioned steps, the corresponding low frequency of the coin, intermediate frequency, high frequency are obtained
The range of characteristic values of characteristic value；
The range of characteristic values of a variety of value of money coins of a variety of classification is established into default characteristic value data storehouse.
Preferred embodiment is further used as, it is described by the low frequency of acquisition, intermediate frequency, high-frequency characteristic value and default feature
The step of Value Data storehouse is compared, progress coin recognizing method, it is specially：
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, according to low frequency, in
Frequently, the range of characteristic values residing for high-frequency characteristic value, obtains the classification situation of corresponding coin, and then identifies the company's coin for obtaining coin
State, true and false state and denomination, and quantity statistics is carried out to coin.
The identifying system of the present embodiment, can perform the coin discriminating method that recognition methods embodiment of the present invention is provided, can
Any combination implementation steps of above method embodiment are performed, possess the corresponding function of this method and beneficial effect.
Above is the preferable of the present invention is implemented to be illustrated, but the invention is not limited to the implementation
Example, those skilled in the art can also make a variety of equivalent variations on the premise of without prejudice to spirit of the invention or replace
Change, these equivalent modifications or replacement are all contained in the application claim limited range.
Claims (10)
1. a kind of coin recognizing method algorithm, it is characterised in that comprise the following steps：
Using high frequency AD sampling channels, real-time AD samplings and filtering process are carried out to current vortex sensor；
According to high frequency AD sampled values, determine whether coin by, if judge no coin by, return continues to sample, conversely,
Continue to execute；
When judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex sensor into
After the real-time AD samplings of row and filtering process, low frequency, intermediate frequency, high frequency AD sampled values are obtained；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, high frequency spy
Value indicative；
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, carry out coin recognizing method.
A kind of 2. coin recognizing method algorithm according to claim 1, it is characterised in that the low frequency, intermediate frequency, height by acquisition
The step of frequency characteristic value is compared with default characteristic value data storehouse, progress coin recognizing method, is specially：
After the low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, the classification of coin is obtained
Situation, and then identify company's coin state, true and false state and the denomination for obtaining coin, and quantity statistics is carried out to coin.
3. a kind of coin recognizing method algorithm according to claim 1, it is characterised in that the default characteristic value data storehouse is
Establish in the following manner：
For the coin of the different values of money of every kind of classification, when coin passes through current vortex sensor, using low frequency, intermediate frequency, high frequency
Three AD sampling channels, after carrying out real-time AD samplings and filtering process to current vortex sensor, obtain low frequency, intermediate frequency, high frequency AD
Sampled value；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, high frequency spy
Value indicative；
For different coins, after repeating multiple above-mentioned steps, the corresponding low frequency of the coin, intermediate frequency, high-frequency characteristic are obtained
The range of characteristic values of value；
The range of characteristic values of a variety of value of money coins of a variety of classification is established into default characteristic value data storehouse.
A kind of 4. coin recognizing method algorithm according to claim 3, it is characterised in that the low frequency, intermediate frequency, height by acquisition
The step of frequency characteristic value is compared with default characteristic value data storehouse, progress coin recognizing method, it is specially：
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, according to low frequency, intermediate frequency, height
Range of characteristic values residing for frequency characteristic value, obtains the classification situation of corresponding coin, so identify obtain coin company's coin state,
True and false state and denomination, and quantity statistics is carried out to coin.
5. a kind of coin recognizing method algorithm according to claim 1, it is characterised in that described respectively to low frequency, intermediate frequency, high frequency
After AD sampled values carry out fusion treatment, the step of obtaining corresponding low frequency, intermediate frequency, high-frequency characteristic value is calculated, it is specially：
According to the following formula, after carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, it is corresponding low to calculate acquisition
Frequently, intermediate frequency, high-frequency characteristic value：
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Wherein, V1 represents high-frequency characteristic value, and V2 represents intermediate frequency characteristic value, and V3 represents characteristics of low-frequency value, and AD_L represents that low frequency AD is adopted
Sample value, AD_M represent intermediate frequency AD sampled values, and AD_H represents high frequency AD sampled values.
A kind of 6. coin recognizing method algorithm according to claim 1, it is characterised in that it is described when judge have coin by when,
Three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, real-time AD samplings and filtering process are carried out to current vortex sensor
Afterwards, the step of obtaining low frequency, intermediate frequency, high frequency AD sampled values, specifically includes：
When judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex sensor into
The real-time AD samplings of row；
According to the following formula, after being filtered processing to sampled data, low frequency, intermediate frequency, high frequency AD sampled values are obtained：
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<mo>_</mo>
<mi>L</mi>
<mo>-</mo>
<mi>S</mi>
<mi>a</mi>
<mi>m</mi>
<mi>p</mi>
<mi>l</mi>
<mi>e</mi>
<mi>L</mi>
<mo>&lsqb;</mo>
<mi>i</mi>
<mo>&rsqb;</mo>
<mo>+</mo>
<mi>V</mi>
<mo>_</mo>
<mi>L</mi>
<mo>)</mo>
</mrow>
<mo>/</mo>
<mn>16</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, AD_L represents low frequency AD sampled values, and AD_M represents intermediate frequency AD sampled values, and AD_H represents high frequency AD sampled values, V_L tables
Showing low frequency real-time sampling value, V_M represents intermediate frequency real-time sampling value, and V_H represents high frequency real-time sampling value successively, Sample_L,
Sample_M, Sample_H represent the circulating sampling buffer area that basic, normal, high three corrugation depths are 16 respectively, and i represents sequence number,
Value is 0~15 integer, and A_L represents the summation of Sample_L, and A_M represents the summation of Sample_M, and A_H represents Sample_H
Summation.
7. a kind of coin recognizing method algorithm according to claim 6, it is characterised in that further comprising the steps of：
After carrying out AD samplings every time, a value of circulating sampling buffer area is updated using low frequency, intermediate frequency, high frequency real-time sampling value.
8. a kind of coin recognizing method system, it is characterised in that including storage medium and processor, the storage medium is stored with least
One instruction, the processor is used to load at least one instruction, and then performs following steps：
Using high frequency AD sampling channels, real-time AD samplings and filtering process are carried out to current vortex sensor；
According to high frequency AD sampled values, determine whether coin by, if judge no coin by, return continues to sample, conversely,
Continue to execute；
When judge have coin by when, three low frequency, intermediate frequency, high frequency AD sampling channels are respectively adopted, to current vortex sensor into
After the real-time AD samplings of row and filtering process, low frequency, intermediate frequency, high frequency AD sampled values are obtained；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, high frequency spy
Value indicative；
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, carry out coin recognizing method.
9. a kind of coin recognizing method system according to claim 8, it is characterised in that the default characteristic value data storehouse is
Establish in the following manner：
For the coin of the different values of money of every kind of classification, when coin passes through current vortex sensor, using low frequency, intermediate frequency, high frequency
Three AD sampling channels, after carrying out real-time AD samplings and filtering process to current vortex sensor, obtain low frequency, intermediate frequency, high frequency AD
Sampled value；
After carrying out fusion treatment to low frequency, intermediate frequency, high frequency AD sampled values respectively, calculate and obtain corresponding low frequency, intermediate frequency, high frequency spy
Value indicative；
For different coins, after repeating multiple above-mentioned steps, the corresponding low frequency of the coin, intermediate frequency, high-frequency characteristic are obtained
The range of characteristic values of value；
The range of characteristic values of a variety of value of money coins of a variety of classification is established into default characteristic value data storehouse.
A kind of 10. coin recognizing method system according to claim 9, it is characterised in that it is described by the low frequency of acquisition, intermediate frequency,
The step of high-frequency characteristic value is compared with default characteristic value data storehouse, progress coin recognizing method, it is specially：
The low frequency of acquisition, intermediate frequency, high-frequency characteristic value are compared with default characteristic value data storehouse, according to low frequency, intermediate frequency, height
Range of characteristic values residing for frequency characteristic value, obtains the classification situation of corresponding coin, so identify obtain coin company's coin state,
True and false state and denomination, and quantity statistics is carried out to coin.
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Cited By (1)
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