Banknote surface anomaly detection method and detection device

Abstract

The invention relates to the field of banknote anomaly detection, in particular to a banknote surface anomaly detection method and device. The detection method comprises the following steps: collecting image data of paper money, verifying the image data, and generating a verification result; acquiring light reflection data of the paper money, processing the light reflection data, and generating a judgment result; and outputting the detection result of the paper money according to the verification result and the judgment result. Image data and reflection data are combined to comprehensively determine whether the banknote surface is abnormal, and the determination accuracy is improved.

Description

Technical Field

[0001] The present application relates to the field of banknote abnormality detection, and in particular to a banknote surface abnormality detection method and detection device. Background Art

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

[0003] However, with the continuous advancement of counterfeiting technology, traditional detection methods have gradually shown their limitations, especially in the detection of foreign objects (such as tape) adhered to the surface of banknotes, which poses great challenges. Summary of the invention

[0004] In order to detect whether there is any abnormality on the surface of a banknote, the present application provides a method and a device for detecting abnormality on the surface of a banknote.

[0005] In a first aspect, the present application provides a method for detecting abnormalities on the surface of banknotes, which adopts the following technical solution: A method for detecting abnormalities on a banknote surface, comprising: Collect image data of banknotes, verify the image data, and generate verification results. Obtain the reflective data of the banknote, process the reflective data, and generate a judgment result. Based on the verification results and judgment results, the banknote detection results are output.

[0006] By adopting the above technical solution, combining image data and reflection data, a comprehensive judgment can be made as to whether the surface of the banknote is abnormal, thereby improving the accuracy of the judgment.

[0007] Preferably, the step of obtaining the reflective data of the banknote, processing the reflective data, and generating a judgment result includes: Acquire the first reflection data at the first angle, Obtain second reflection data at a second angle, The first light reflection data is used as a reference, and a judgment result is generated based on a comparison result of the second light reflection data and the first light reflection data.

[0008] By adopting the above technical solution, the reflectivity of the banknote surface will change due to rubbing, watering and drying during the use of the banknote; the second reflective data and the first reflective data of the current banknote are compared based on the first reflective data of the current banknote to improve the accuracy of judgment.

[0009] Preferably, the step of obtaining the image data of the banknote, verifying the image data, and generating the verification result also includes: In response to the operation signal, the image acquisition resolution is adjusted.

[0010] By adopting the above technical solution, low-resolution image data can reduce the amount of data, which is conducive to rapid judgment; high-resolution image data can collect finer image details, which is conducive to accurate judgment.

[0011] Preferably, it also includes: Sorting is performed based on the test results.

[0012] By adopting the above technical solution, normal banknotes and abnormal banknotes can be diverted and stored separately.

[0013] In a second aspect, the present application provides a banknote surface abnormality detection device, which adopts the following technical solution: A banknote surface abnormality detection device includes an image sensor, a foreign body sensor and a processing module. The image sensor is used to collect image data of banknotes. The processing module is used to verify the image data and generate a verification result. The foreign body sensor is used to obtain the reflective data of the banknote. The processing module is used to process the reflection data and generate a judgment result. The processing module is used to output the detection result of the banknote according to the verification result and the judgment result.

[0014] By adopting the above technical solution, combining image data and reflection data, a comprehensive judgment can be made as to whether the surface of the banknote is abnormal, thereby improving the accuracy of the judgment.

[0015] Preferably, the foreign body sensor comprises a transmitter, a first receiver and a second receiver. The transmitter is used to transmit detection light to the banknote, The first receiver is used to receive the reflected light of the banknote and output the first reflected light data. The second receiver is used to receive the reflected light of the banknote and output the second reflected light data. The processing module is used to generate a judgment result based on a comparison result of the second light reflection data and the first light reflection data, taking the first light reflection data as a reference.

[0016] By adopting the above technical solution, the second light-reflecting data and the first light-reflecting data of the current banknote are compared with each other based on the first light-reflecting data of the current banknote, thereby improving the judgment accuracy.

[0017] Preferably, the processing module is used to adjust the image acquisition resolution of the image sensor in response to an operation signal.

[0018] By adopting the above technical solution, 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.

[0019] Preferably, it also includes a machine body, a shift fork, a storage box and a storage box. The body has a detection channel, The image sensor and foreign body sensor are arranged at the detection channel. The shift fork is connected to the machine body, and the shift fork is used to control the storage box or storage case to be connected to the detection channel; The processing module controls the action of the shift fork based on the detection result.

[0020] By adopting the above technical solution, the normal banknotes and abnormal banknotes are diverted by using a shift fork, and the normal banknotes and abnormal banknotes are stored in the storage box and the storage box respectively.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. Combine image data and reflection data to comprehensively judge whether the banknote surface is abnormal, and improve the accuracy of judgment; 2. Taking the first light reflection data of the current banknote as a reference, compare the second light reflection data and the first light reflection data of the current banknote to improve the judgment accuracy; 3. Low-resolution image data can reduce the amount of data and facilitate quick judgment; high-resolution image data can collect finer image details and facilitate accurate judgment; 4. Based on the detection results, normal banknotes and abnormal banknotes are diverted and stored separately. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of a device for detecting abnormalities on the surface of banknotes.

[0023] Figure 2 It is a schematic diagram of ranging.

[0024] Figure 3 It is a flow chart of a method for detecting abnormalities on the surface of banknotes.

[0025] Explanation of the accompanying drawings: 1. body; 11. inlet; 12. detection channel; 2. image sensor; 3. foreign body sensor; 31. transmitter; 32. first receiver; 33. second receiver; 4. fork; 5. storage box; 6. storage box; 7. ranging sensor. DETAILED DESCRIPTION

[0026] The present application is further described in detail below in conjunction with the accompanying drawings.

[0027] Reference Figure 1The embodiment of the present application discloses a banknote surface abnormality detection device, including a body 1, a banknote feeding motor and a main motor.

[0028] The body 1 has an inlet 11 and a detection channel 12 .

[0029] The inlet 11 is used for placing stacked banknotes, and the detection channel 12 is connected to the inlet 11. The banknote feeding motor is used to bring a single banknote from the inlet 11 into the detection channel 12, and the main motor is used to drive the banknote to move in the detection channel 12.

[0030] The detection device further comprises an image sensor 2 and a processing module. The image sensor 2 is arranged at the detection channel 12 .

[0031] The image sensor 2 is used to collect image data of banknotes. The image sensor 2 may be a CS image sensor 2 .

[0032] The processing module is used to verify the image data and generate verification results.

[0033] Furthermore, the processing module is further configured to adjust the image acquisition resolution of the image sensor 2 in response to the operation signal.

[0034] In this embodiment: the image acquisition resolution can be adjusted in three levels, namely: 100 DPI, 200 DPI, and 300 DPI.

[0035] The detection device further comprises a foreign body sensor 3 . The foreign body sensor 3 is arranged at the detection channel 12 .

[0036] The foreign body sensor 3 is used to obtain the reflection data of the banknote. The processing module is used to process the reflection data and generate a judgment result.

[0037] The foreign object sensor 3 includes a transmitter 31 , a first receiver 32 , and a second receiver 33 .

[0038] The transmitter 31 is used to transmit the detection light to the banknote. The first receiver 32 is used to receive the reflected light of the banknote and output the first reflected light data. The second receiver 33 is used to receive the reflected light of the banknote and output the second reflected light data.

[0039] In this embodiment, two foreign body sensors 3 are provided, and the two foreign body sensors 3 are located on both sides of the detection channel 12 to detect whether the front and back surfaces of the banknotes are abnormal.

[0040] In the accompanying drawings, two foreign body sensors 3 are arranged opposite to each other. In other embodiments, the two foreign body sensors 3 may be arranged staggered.

[0041] The processing module is used for generating a judgment result based on a comparison result of the second light reflection data and the first light reflection data, taking the first light reflection data as a reference.

[0042] The processing module is used to output the detection result of the banknote according to the verification result and the judgment result.

[0043] The detection device further includes a shift fork 4 , a storage box 5 and a storage case 6 .

[0044] The shift fork 4 is connected to the machine body 1, and is used to control the storage box 5 or the storage case 6 to be connected to the detection channel 12. The processing module controls the action of the shift fork 4 based on the detection result.

[0045] In one embodiment: when the detection result is normal, the fork 4 controls the storage box 5 to be connected to the detection channel 12; when the detection result is abnormal, the fork 4 controls the storage box 6 to be connected to the detection channel 12; That is, normal banknotes enter the storage box 5, and abnormal banknotes enter the storage box 6.

[0046] The state shown in the figure: the shift fork 4 allows the banknotes to enter the storage box 5; When the shift fork 4 rotates counterclockwise to a set angle, the banknotes can enter the storage box 6 .

[0047] In other embodiments: The detection device may further include a distance measuring sensor 7; There are two distance measuring sensors 7, and the two distance measuring sensors 7 are located on both sides of the detection channel 12; The distance sensor 7 is used to measure the distance from the banknote to itself and output the distance data; The processing module is used to process two distance data and generate processing results.

[0048] Reference Figure 2 , the distance measuring direction of the distance measuring sensor 7 is not perpendicular to the banknote, and the distance measuring directions of the two distance measuring sensors 7 are opposite to each other; The processing module is used to compare the distance data with normal values: Result 1: Both distance data are normal values; Result 2: Both distance data are greater than normal values; Result 3, both distance data are smaller than normal values; Result 4: one distance data is greater than the normal value, and the other distance data is less than the normal value; Result 5: one distance data is a normal value, and the other distance data is smaller or larger than the normal value.

[0049] When the comparison result is result 5, the processing module generates "banknote abnormality" as the processing result; the processing module is used to output the banknote detection result based on the verification result, the judgment result and the processing result.

[0050] When the comparison result is result 1, 2, 3 or 4, the processing module is used to output the detection result of the banknote according to the verification result and the judgment result.

[0051] The implementation principle of a device for detecting an abnormality on the surface of banknotes in an embodiment of the present application is as follows: taking the first reflection data of the current banknote as a reference, comparing the second reflection data and the first reflection data of the current banknote to improve the accuracy of judgment; combining the image data and the reflection data to comprehensively judge whether the surface of the banknote is abnormal; and based on the detection results, diverting normal banknotes and abnormal banknotes and storing them separately.

[0052] Reference Figure 3 , using the above detection device, the embodiment of the present application also discloses a method for detecting abnormalities on the surface of banknotes, comprising: The banknotes to be inspected are neatly stacked and placed at the entrance 11; The banknote feeding motor starts to work, bringing the banknotes into the body 1 (detection channel 12); The main motor drives the banknote to continue moving forward in the detection channel 12, passing through the image sensor 2 and the foreign body sensor 3 in sequence; Collect image data of banknotes, verify the image data, and generate verification results; Obtaining the reflective data of the banknote, processing the reflective data, and generating a judgment result; Output the banknote detection result according to the verification result and the judgment result; Based on the detection results, normal banknotes and abnormal banknotes are sorted, normal banknotes enter the storage box 5, and abnormal banknotes enter the storage box 6; Turn off the device and take out the normal banknotes in the storage box 5 and the abnormal banknotes in the storage box 6.

[0053] The step of collecting image data of the banknote, verifying the image data, and generating a verification result may also include: In response to the operation signal, the image acquisition resolution is adjusted.

[0054] The step of obtaining the reflective data of the banknote, processing the reflective data, and generating a judgment result includes: Acquire first reflection data at a first angle; Acquire second reflection data at a second angle; The first light reflection data is used as a reference, and a judgment result is generated based on a comparison result of the second light reflection data and the first light reflection data.

[0055] For example: light intensity is used as the first reflection data and the second reflection data; When the second light-reflecting data is greater than the first light-reflecting data and the difference between the second light-reflecting data and the first light-reflecting data is greater than a preset value, it is determined that the surface of the banknote is abnormal.

[0056] When the detection device includes the distance measuring sensor 7, the detection method includes the steps of obtaining the reflection data of the banknote, processing the reflection data, and generating a judgment result, and further includes: Obtain the distance data of the front and back sides of the banknote, process the two distance data, and generate a processing result.

[0057] Compare the distance data to normal values: Result 1: Both distance data are normal values; Result 2: Both distance data are greater than normal values; Result 3, both distance data are smaller than normal values; Result 4: one distance data is greater than the normal value, and the other distance data is less than the normal value; Result 5: one distance data is a normal value, and the other distance data is smaller or larger than the normal value.

[0058] In the case of result 5, the processing module generates "banknote abnormality" as the processing result; the processing module is used to output the banknote detection result according to the verification result, the judgment result and the processing result; In case of result 1, 2, 3 or 4, the processing module is used to output the detection result of the banknote according to the verification result and the judgment result.

[0059] The implementation principle of a method for detecting surface abnormalities of banknotes in an embodiment of the present application is as follows: taking the first reflection data of the current banknote as a reference, comparing the second reflection data and the first reflection data of the current banknote to improve the accuracy of judgment; combining the image data and the reflection data to comprehensively judge whether the surface of the banknote is abnormal; and based on the detection results, diverting normal banknotes and abnormal banknotes and storing them separately.

[0060] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for detecting abnormalities on the surface of banknotes, characterized in that: include: Collect image data of banknotes, verify the image data, and generate verification results. Obtain the reflective data of the banknote, process the reflective data, and generate a judgment result. Based on the verification results and judgment results, the banknote detection results are output.

2. The detection method according to claim 1, characterized in that: The step of obtaining the reflective data of the banknote, processing the reflective data, and generating a judgment result includes: Acquire the first reflection data at the first angle, Obtain second reflection data at a second angle, The first light reflection data is used as a reference, and a judgment result is generated based on a comparison result of the second light reflection data and the first light reflection data.

3. The detection method according to claim 1, characterized in that: The step of obtaining the image data of the banknote, verifying the image data, and generating the verification result also includes: In response to the operation signal, the image acquisition resolution is adjusted.

4. The detection method according to claim 1, characterized in that: Also includes: Sorting is performed based on the test results.

5. A device for detecting abnormalities on the surface of banknotes, characterized in that: It includes an image sensor (2), a foreign body sensor (3) and a processing module, The image sensor (2) is used to collect image data of banknotes. The processing module is used to verify the image data and generate a verification result. The foreign body sensor (3) is used to obtain the reflective data of the banknote. The processing module is used to process the reflection data and generate a judgment result. The processing module is used to output the detection result of the banknote according to the verification result and the judgment result.

6. The detection device according to claim 5, characterized in that: The foreign body sensor (3) comprises a transmitter (31), a first receiver (32) and a second receiver (33). The emitter (31) is used to emit detection light to the banknote, The first receiver (32) is used to receive reflected light from a banknote and output first reflected light data. The second receiver (33) is used to receive the reflected light of the banknote and output second reflected light data. The processing module is used to generate a judgment result based on a comparison result of the second light reflection data and the first light reflection data, taking the first light reflection data as a reference.

7. The detection device according to claim 5, characterized in that: The processing module is used to adjust the image acquisition resolution of the image sensor (2) in response to an operation signal.

8. The detection device according to claim 5, characterized in that: It also includes a machine body (1), a shift 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 shift fork (4) is connected to the machine body (1), and the shift fork (4) is used to control the storage box (5) or the storage case (6) to be connected to the detection channel (12); The processing module controls the movement of the shift fork (4) based on the detection result.

Images