Method and apparatus for detecting surface abnormalities of banknotes

Abstract

The application relates to the field of banknote anomaly detection, and discloses a banknote surface anomaly detection method and a detection device. The detection method comprises the following steps: collecting image data of a banknote, checking the image data, and generating a checking result; acquiring reflection data of the banknote, processing the reflection data, and generating a judgment result; and outputting a detection result of the banknote according to the checking result and the judgment result. The image data and the reflection data are combined to comprehensively judge whether the surface of the banknote is abnormal, so that the judgment accuracy is improved.

Description

Technical Field

[0001] This application relates to the field of banknote anomaly detection, and in particular to a method and apparatus for detecting anomalies on the surface of banknotes. Background Technology

[0002] As an important currency circulation tool, the surface quality of banknotes directly affects circulation security and the stability of the financial system. Existing banknote detection technologies mainly include optical detection, magnetic detection, and capacitance detection, among other methods, which have improved the accuracy and efficiency of banknote detection to some extent.

[0003] However, with the continuous advancement of counterfeiting technology, traditional detection methods have gradually shown limitations, especially in detecting foreign objects (such as tape) adhering to the surface of banknotes, which presents a significant challenge. Summary of the Invention

[0004] In order to detect whether there are abnormalities on the surface of banknotes, this application provides a method and apparatus for detecting abnormalities on the surface of banknotes.

[0005] Firstly, this application provides a method for detecting anomalies on the surface of banknotes, employing the following technical solution:

[0006] A method for detecting anomalies on the surface of banknotes, comprising:

[0007] The system collects image data of banknotes, verifies the image data, and generates verification results.

[0008] Acquire the reflective data of the banknote, process the reflective data, and generate a judgment result.

[0009] Based on the verification and judgment results, the detection results of the banknotes are output.

[0010] By adopting the above technical solution and combining image data and reflective data, the accuracy of judgment can be improved by comprehensively judging whether the surface of the banknote is abnormal.

[0011] Preferably, the steps of acquiring the reflective data of the banknote, processing the reflective data, and generating a judgment result include:

[0012] Obtain the first reflection data from the first angle.

[0013] Obtain the second reflection data from the second angle.

[0014] A judgment result is generated based on the comparison results of the first reflective data and the second reflective data, using the first reflective data as a benchmark.

[0015] By adopting the above technical solution, the reflectivity of the banknote surface will change during the use of banknotes, such as rubbing, getting wet and drying. By comparing the first reflectivity data of the current banknote with the second reflectivity data of the current banknote, the accuracy of the judgment is improved.

[0016] Preferably, before the steps of acquiring image data of the banknote, verifying the image data, and generating the verification result are completed, the following steps are also included:

[0017] In response to an operating signal, adjust the image acquisition resolution.

[0018] By adopting the above technical solutions, low-resolution image data can reduce the amount of data, which is conducive to rapid judgment; high-resolution image data can capture more fine image details, which is conducive to accurate judgment.

[0019] Preferred options also include:

[0020] Based on the test results, sorting is carried out.

[0021] By adopting the above technical solution, normal banknotes and abnormal banknotes can be separated and stored separately.

[0022] Secondly, this application provides a banknote surface anomaly detection device, which adopts the following technical solution:

[0023] A banknote surface anomaly detection device includes an image sensor, a foreign object sensor, and a processing module.

[0024] The image sensor is used to acquire image data of banknotes.

[0025] The processing module is used to verify the image data and generate verification results.

[0026] The foreign object sensor is used to acquire reflective data of the banknote.

[0027] The processing module is used to process the reflective data and generate a judgment result.

[0028] The processing module is used to output the detection result of the banknote based on the verification result and the judgment result.

[0029] By adopting the above technical solution and combining image data and reflective data, the accuracy of judgment can be improved by comprehensively judging whether the surface of the banknote is abnormal.

[0030] Preferably, the foreign object sensor includes a transmitter, a first receiver, and a second receiver.

[0031] The transmitter is used to emit detection light onto the banknote.

[0032] The first receiver is used to receive the reflected light from the banknote and output the first reflection data.

[0033] The second receiver is used to receive the reflected light from the banknote and output second reflection data.

[0034] The processing module is used to generate a judgment result based on the comparison result of the first reflective data and the second reflective data, using the first reflective data as a reference.

[0035] By adopting the above technical solution, the second reflective data and the first reflective data of the current banknote are compared with the first reflective data of the current banknote, thereby improving the accuracy of judgment.

[0036] Preferably, the processing module is configured to adjust the image acquisition resolution of the image sensor in response to an operation signal.

[0037] By adopting the above technical solutions, low-resolution image data can reduce the amount of data, which is conducive to rapid judgment; high-resolution image data is conducive to accurate judgment.

[0038] Preferably, it also includes the main body, shift fork, storage box, and storage case.

[0039] The machine body has a detection channel.

[0040] The image sensor and foreign object sensor are located at the detection channel.

[0041] The shift fork is connected to the machine body and is used to control the storage box or storage container to connect to the detection channel.

[0042] The processing module controls the fork's action based on the detection results.

[0043] By adopting the above technical solution, normal banknotes and abnormal banknotes are separated by a fork, and normal banknotes and abnormal banknotes are stored in storage boxes and storage containers respectively.

[0044] In summary, this application includes at least one of the following beneficial technical effects:

[0045] 1. By combining image data and reflectivity data, a comprehensive assessment of whether there are abnormalities on the surface of banknotes can be made, thereby improving the accuracy of the assessment;

[0046] 2. Using the first reflective data of the current banknote as a benchmark, compare the second reflective data and the first reflective data of the current banknote to improve the accuracy of judgment;

[0047] 3. Low-resolution image data can reduce the amount of data, which is conducive to rapid judgment; high-resolution image data can capture more fine image details, which is conducive to accurate judgment.

[0048] 4. Based on the detection results, normal banknotes and abnormal banknotes are separated and stored separately. Attached Figure Description

[0049] Figure 1 This is a simplified schematic diagram of a banknote surface anomaly detection device.

[0050] Figure 2 This is a schematic diagram of distance measurement.

[0051] Figure 3 This is a flowchart of a method for detecting anomalies on the surface of banknotes.

[0052] Explanation of reference numerals in the attached diagram: 1. Main body; 11. Inlet; 12. Detection channel; 2. Image sensor; 3. Foreign object sensor; 31. Transmitter; 32. First receiver; 33. Second receiver; 4. Fork; 5. Storage box; 6. Storage case; 7. Distance sensor. Detailed Implementation

[0053] The present application will be further described in detail below with reference to the accompanying drawings.

[0054] Reference Figure 1 This application discloses a banknote surface anomaly detection device, including a body 1, a banknote feeding motor and a main motor.

[0055] The main body 1 has an inlet 11 and a detection channel 12.

[0056] Inlet 11 is used for placing stacked banknotes, and detection channel 12 is connected to inlet 11. The banknote feeding motor is used to bring single banknotes from inlet 11 into detection channel 12, and the main motor is used to drive the banknotes to move within detection channel 12.

[0057] The detection device also includes an image sensor 2 and a processing module. The image sensor 2 is located at the detection channel 12.

[0058] Image sensor 2 is used to acquire image data of banknotes. Image sensor 2 can be a CS image sensor 2.

[0059] The processing module is used to verify the image data and generate verification results.

[0060] Furthermore, the processing module is also used to adjust the image acquisition resolution of the image sensor 2 in response to the operation signal.

[0061] In this embodiment, the image acquisition resolution can be adjusted in three levels: 100 DPI, 200 DPI, and 300 DPI.

[0062] The detection device also includes a foreign object sensor 3. The foreign object sensor 3 is located at the detection channel 12.

[0063] Foreign object sensor 3 is used to acquire reflective data of banknotes. The processing module is used to process the reflective data and generate a judgment result.

[0064] The foreign object sensor 3 includes a transmitter 31, a first receiver 32, and a second receiver 33.

[0065] Transmitter 31 emits detection light to the banknote. First receiver 32 receives the reflected light from the banknote and outputs first reflection data. Second receiver 33 receives the reflected light from the banknote and outputs second reflection data.

[0066] In this embodiment, there are two foreign object sensors 3, which are located on both sides of the detection channel 12 to detect whether the front and back surfaces of the banknote are abnormal.

[0067] In the attached diagram: the two foreign object sensors 3 are positioned facing each other. In other embodiments: the two foreign object sensors 3 may be staggered.

[0068] The processing module is used to generate a judgment result based on the comparison results of the first reflective data and the second reflective data, using the first reflective data as a reference.

[0069] The processing module is used to output the detection results of banknotes based on the verification results and judgment results.

[0070] The detection device also includes a fork 4, a storage box 5, and a storage container 6.

[0071] The shift fork 4 is connected to the body 1 and is used to control the connection between the storage box 5 or the storage container 6 and the detection channel 12. The processing module controls the action of the shift fork 4 based on the detection results.

[0072] In one embodiment: when the detection result is normal, the shift fork 4 controls the storage box 5 to connect to the detection channel 12; when the detection result is abnormal, the shift fork 4 controls the storage box 6 to connect to the detection channel 12.

[0073] Normal banknotes go into storage box 5, and abnormal banknotes go into storage bin 6.

[0074] As shown in the attached diagram: the fork 4 allows the banknotes to enter the storage box 5;

[0075] After the fork 4 is rotated counterclockwise to a set angle, the banknotes can be placed into the storage box 6.

[0076] Other embodiments:

[0077] The detection device may also include a ranging sensor 7;

[0078] Two ranging sensors 7 are provided, and the two ranging sensors 7 are located on both sides of the detection channel 12;

[0079] Distance sensor 7 is used to measure the distance from the banknote to itself and output distance data;

[0080] The processing module is used to process the two distance data and generate the processing results.

[0081] Reference Figure 2 The ranging direction of the ranging sensor 7 is not perpendicular to the banknote, and the ranging directions of the two ranging sensors 7 are opposite.

[0082] The processing module is used to compare distance data with normal values:

[0083] Result 1: Both distance data points are within the normal range.

[0084] Result 2: Both distance data points are greater than the normal values;

[0085] Result 3: Both distance data points are less than the normal value;

[0086] Result 4: One distance data point is greater than the normal value, and the other distance data point is less than the normal value;

[0087] Result 5: One distance data point is within the normal range, while the other distance data point is either less than or greater than the normal range.

[0088] If the comparison result is 5, the processing module generates "banknote anomaly" as the processing result; the processing module is used to output the banknote detection result based on the verification result, judgment result and processing result.

[0089] If the comparison result is 1, 2, 3 or 4, the processing module outputs the banknote detection result based on the verification result and the judgment result.

[0090] The implementation principle of the banknote surface anomaly detection device in this application is as follows: taking the first reflective data of the current banknote as a benchmark, the second reflective data and the first reflective data of the current banknote are compared to improve the accuracy of judgment; combining image data and reflective data, a comprehensive judgment is made on whether the banknote surface is abnormal; and based on the detection results, normal banknotes and abnormal banknotes are separated and stored separately.

[0091] Reference Figure 3 Using the aforementioned detection device, this application also discloses a method for detecting anomalies on the surface of banknotes, comprising:

[0092] The banknotes to be inspected are neatly stacked and placed in entrance 11;

[0093] The banknote feeding motor starts working, bringing the banknotes into the machine body 1 (detection channel 12).

[0094] The main motor drives the banknote to continue moving forward in the detection channel 12, passing through the image sensor 2 and the foreign object sensor 3 in sequence;

[0095] Collect image data of banknotes, verify the image data, and generate verification results;

[0096] Acquire the reflective data of banknotes, process the reflective data, and generate a judgment result;

[0097] Based on the verification and judgment results, output the banknote detection results;

[0098] Based on the test results, normal banknotes and abnormal banknotes are sorted. Normal banknotes are put into storage box 5, and abnormal banknotes are put into storage bin 6.

[0099] Turn off the device and remove the normal banknotes from storage box 5 and the abnormal banknotes from storage box 6.

[0100] The steps of collecting image data of banknotes, verifying the image data, and generating verification results may also include:

[0101] In response to an operating signal, adjust the image acquisition resolution.

[0102] The steps involved in obtaining the reflective data of the banknote, processing the reflective data, and generating a judgment result, including:

[0103] Obtain the first reflection data from the first angle;

[0104] Obtain the second reflection data from the second angle;

[0105] A judgment result is generated based on the comparison results of the first reflective data and the second reflective data, using the first reflective data as a benchmark.

[0106] For example: using light intensity as the first reflectivity data and the second reflectivity data;

[0107] If the second reflective data is greater than the first reflective data, and the difference between the second reflective data and the first reflective data is greater than a preset value, the banknote surface is judged to be abnormal.

[0108] When the detection device includes a ranging sensor 7, the detection method, after acquiring the reflective data of the banknote, processing the reflective data, and generating a judgment result, further includes:

[0109] Obtain the distance data between the front and back of the banknote, process the two distance data, and generate the processing result.

[0110] Compare the distance data with normal values:

[0111] Result 1: Both distance data points are within the normal range.

[0112] Result 2: Both distance data points are greater than the normal values;

[0113] Result 3: Both distance data points are less than the normal value;

[0114] Result 4: One distance data point is greater than the normal value, and the other distance data point is less than the normal value;

[0115] Result 5: One distance data point is within the normal range, while the other distance data point is either less than or greater than the normal range.

[0116] In case of result 5, the processing module generates "banknote anomaly" as the processing result; the processing module is used to output the banknote detection result based on the verification result, judgment result and processing result;

[0117] In the case of result 1, 2, 3 or 4, the processing module is used to output the detection result of the banknote based on the verification result and the judgment result.

[0118] The implementation principle of the banknote surface anomaly detection method in this application embodiment is as follows: taking the first reflective data of the current banknote as a benchmark, the second reflective data and the first reflective data of the current banknote are compared to improve the accuracy of judgment; combining image data and reflective data, a comprehensive judgment is made on whether the banknote surface is abnormal; and based on the detection results, normal banknotes and abnormal banknotes are separated and stored separately.

[0119] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method of detecting a surface abnormality of a banknote, characterized by, The method comprises: collecting image data of the banknote, checking the image data, and generating a checking result, acquiring reflection data of the banknote, processing the reflection data, and generating a judgment result, outputting a detection result of the banknote according to the checking result and the judgment result, sorting based on the detection result; In the step of acquiring reflection data of the banknote and processing the reflection data to generate a judgment result, the method comprises: acquiring first reflection data at a first angle, acquiring second reflection data at a second angle, taking the first reflection data as a reference, generating the judgment result based on a comparison result of the second reflection data and the first reflection data.

2. The detection method according to claim 1, characterized in that, Before the step of acquiring image data of the banknote, checking the image data, and generating a checking result, the method further comprises: adjusting the image collection resolution in response to an operation signal.

3. A paper currency surface anomaly detection apparatus characterized by comprising: The device comprises an image sensor (2), a foreign matter sensor (3), and a processing module, the image sensor (2) is configured to collect image data of the banknote, the processing module is configured to check the image data and generate a checking result, the foreign matter sensor (3) is configured to acquire reflection data of the banknote, the processing module is configured to process the reflection data and generate a judgment result, the processing module is configured to output a detection result of the banknote according to the checking result and the judgment result, the foreign matter sensor (3) comprises a transmitter (31), a first receiver (32), and a second receiver (33), the transmitter (31) is configured to emit detection light to the banknote, the first receiver (32) is configured to receive reflected light of the banknote and output first reflection data, the second receiver (33) is configured to receive reflected light of the banknote and output second reflection data, the processing module is configured to take the first reflection data as a reference and generate the judgment result based on a comparison result of the second reflection data and the first reflection data. The device further comprises a machine body (1), a shifting fork (4), a storage box (5), and a storage case (6), the machine body (1) has a detection channel (12), the image sensor (2) and the foreign matter sensor (3) are arranged at the detection channel (12), the shifting fork (4) is connected to the machine body (1), and the shifting fork (4) is configured to control the storage box (5) or the storage case (6) to be connected to the detection channel (12), the processing module controls the shifting fork (4) to act based on the detection result.

4. The detection device of claim 3, wherein, The processing module is configured to adjust the image collection resolution of the image sensor (2) in response to an operation signal.

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