Financial payment management system using visual data analysis

Abstract

The invention relates to a financial payment management system using visual data analysis, and the system comprises a data collection mechanism which is used for carrying out the directional visual data collection of financial payment equipment in a financial payment environment; and the object judgment equipment is used for judging that the financial payment equipment placed in the financial payment environment does not belong to the set financial institution and is an imitation of the financial payment equipment of the set financial institution when the received surface distribution area corresponding to the financial payment equipment is not in the set area interval. The financial payment management system based on visual data analysis is stable in operation and simple and convenient to control. According to the invention, multiple items of basic information used for executing intelligent judgment of the surface distribution area can be obtained, so that the deep feedforward network model is adopted to intelligently judge the surface distribution area corresponding to the financial payment equipment, and therefore, intelligent judgment of geometric parameters of the financial payment equipment can be realized; counterfeit financial payment equipment is prevented from being placed in a financial payment environment for a long time.

Description

Technical Field

[0001] The present invention relates to the field of financial payment, and more specifically, to a financial payment management system using visual data analysis. Background Art

[0002] In the process of financial payment, electronic contracts are gradually becoming the mainstream contract signing method due to their high efficiency, convenience and security. Some technology companies provide various electronic contract solutions to ensure the legality and non-tamperability of the contract signing process. Generally, encryption technology and real-name authentication mechanisms can be used to ensure the security of contract data and the rights and interests of both parties to the transaction. Through the platforms of technology companies, financial institutions can easily implement online contracts, accelerate business processes, reduce operating costs, and improve customer experience, helping the digital transformation of the financial industry and making contract signing simpler and more reliable.

[0003] Due to the existence of automatic financial payment functions in financial payment devices, some criminals place counterfeit financial payment devices into the financial payment environment to guide payment personnel to make payments. These financial payment devices are often so sophisticated that they are indistinguishable from the real ones. How to improve the recognition accuracy of real and fake financial payment devices to avoid the long-term existence of counterfeit financial payment devices in the financial payment environment is one of the technical problems that need to be solved at present. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a financial payment management system using visual data analysis, which can obtain multiple basic information for performing intelligent judgment of surface distribution area, specifically, obtain the geometric shape corresponding to the known outline of the financial payment device, the geometric shape is a closed curve and includes various curvature values ​​at different positions of the closed curve, detect the occupied area of ​​the financial payment device in the received multiple optimized images according to the brightness value distribution range of the financial payment device, and obtain the total number of pixels occupied by the occupied area as a reference acquisition number; and based on the various curvature values ​​at different positions of the closed curve, the reference acquisition number, the shooting focal length corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device, a deep feedforward network model is used to intelligently judge the surface distribution area corresponding to the financial payment device, thereby realizing intelligent judgment of the geometric parameters of the financial payment device and avoiding counterfeit financial payment devices from being placed in the financial payment environment for a long time.

[0005] According to the present invention, there is provided a financial payment management system using visual data analysis, the system comprising: A data collection mechanism, used for collecting directional visual data of a financial payment device placed in a financial payment environment to obtain and output a corresponding payment environment image, wherein the financial payment device placed in the financial payment environment is a financial payment device placed above a financial payment stand or located in a financial payment area; A multiple optimization mechanism, connected to the data acquisition mechanism, for sequentially performing gamma correction processing, nonlinear transformation processing based on exponential transformation, and guided filtering processing on the received payment environment image, so as to obtain and output a corresponding multiple optimization image; A first analysis device, connected to the multiple optimization mechanism, is used to obtain a geometric shape corresponding to a known contour of a financial payment device, wherein the geometric shape is a closed curve and includes various curvature values ​​at various positions of the closed curve; A second analysis device, connected to the first analysis device, is used to detect an occupied area of ​​the financial payment device in the received multiple optimized images according to a brightness value distribution range of the financial payment device, and obtain a total number of pixels occupied by the occupied area as a reference acquisition quantity; a third analysis device, connected to the first analysis device and the second analysis device respectively, for intelligently determining the surface distribution area corresponding to the financial payment device by using a deep feedforward network model based on the curvature values ​​at different positions of the closed curve, the reference acquisition quantity, the shooting focal length corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device; an object determination device connected to the third analysis device, and configured to determine that the financial payment device placed in the financial payment environment does not belong to the set financial institution and is a replica of the financial payment device of the set financial institution when the surface distribution area corresponding to the received financial payment device is not within the set area interval; Wherein, when the surface distribution area corresponding to the received financial payment device is not within the set area interval, judging that the financial payment device placed in the financial payment environment does not belong to the set financial institution and is a replica of the financial payment device of the set financial institution includes: the surface distribution area of ​​the financial payment device of the set financial institution is within the set area interval; Among them, based on the curvature values ​​at different positions of the closed curve, the reference acquisition quantity, the shooting focal lengths corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device, a deep feedforward network model is used to intelligently determine the surface distribution area corresponding to the financial payment device, including: the deep feedforward network model is a deep feedforward network after multiple learnings, and the number of times the deep feedforward network learns is monotonically positively correlated with the area span of the set area interval corresponding to the financial payment device of the set financial institution.

[0006] Therefore, the present invention has at least the following three beneficial technical effects: First, the deep feedforward network model for performing intelligent judgment of the surface distribution area is a deep feedforward network after performing multiple learnings, and the number of times the deep feedforward network learns is monotonically positively correlated with the area span of the set area interval corresponding to the financial payment device of the set financial institution; Second: obtaining a number of basic information for performing intelligent judgment of surface distribution area, specifically, obtaining a geometric shape corresponding to a known outline of a financial payment device, wherein the geometric shape is a closed curve and includes various curvature values ​​at different positions of the closed curve, detecting the occupied area of ​​the financial payment device in the received multiple optimized images according to the distribution range of the brightness value of the financial payment device, and obtaining the total number of pixels occupied by the occupied area as a reference acquisition quantity; Third: Based on the curvature values ​​at different positions of the closed curve, the number of reference acquisitions, the shooting focal lengths corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device, a deep feedforward network model is used to intelligently determine the surface distribution area corresponding to the financial payment device, thereby realizing intelligent judgment of the geometric parameters of the financial payment device.

[0007] The financial payment management system using visual data analysis of the present invention is stable in operation and easy to operate. Since it can obtain a plurality of basic information for performing intelligent judgment of surface distribution area, a deep feedforward network model is used to intelligently judge the surface distribution area corresponding to the financial payment device, thereby realizing intelligent judgment of the geometric parameters of the financial payment device and preventing counterfeit financial payment devices from being placed in the financial payment environment for a long time. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

[0009] Figure 1 It is a schematic diagram of the internal structure of a financial payment management system using visual data analysis according to the first embodiment of the present invention.

[0010] Figure 2 It is a schematic diagram of the internal structure of a financial payment management system using visual data analysis according to the second embodiment of the present invention.

[0011] Figure 3 It is a schematic diagram of the internal structure of a financial payment management system using visual data analysis according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0012] The implementation scheme of the financial payment management system using visual data analysis of the present invention will be described in detail below with reference to the accompanying drawings.

[0013] Figure 1: is a schematic diagram of the internal structure of a financial payment management system using visual data analysis according to a first embodiment of the present invention, the system comprising: A data collection mechanism, used for collecting directional visual data of a financial payment device placed in a financial payment environment to obtain and output a corresponding payment environment image, wherein the financial payment device placed in the financial payment environment is a financial payment device placed above a financial payment stand or located in a financial payment area; For example, a data collection mechanism is used for collecting directional visual data of a financial payment device placed in a financial payment environment to obtain and output a corresponding payment environment image, wherein the financial payment device placed in the financial payment environment is a financial payment device placed above a financial payment bracket or located in a financial payment area, and includes: a built-in CMOS sensor in the data collection mechanism for sensing the original picture of the payment environment image; A multiple optimization mechanism, connected to the data acquisition mechanism, for sequentially performing gamma correction processing, nonlinear transformation processing based on exponential transformation, and guided filtering processing on the received payment environment image, so as to obtain and output a corresponding multiple optimization image; A first analysis device, connected to the multiple optimization mechanism, is used to obtain a geometric shape corresponding to a known contour of a financial payment device, wherein the geometric shape is a closed curve and includes various curvature values ​​at various positions of the closed curve; A second analysis device, connected to the first analysis device, is used to detect an occupied area of ​​the financial payment device in the received multiple optimized images according to a brightness value distribution range of the financial payment device, and obtain a total number of pixels occupied by the occupied area as a reference acquisition quantity; a third analysis device, connected to the first analysis device and the second analysis device respectively, for intelligently determining the surface distribution area corresponding to the financial payment device by using a deep feedforward network model based on the curvature values ​​at different positions of the closed curve, the reference acquisition quantity, the shooting focal length corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device; an object determination device connected to the third analysis device, and configured to determine that the financial payment device placed in the financial payment environment does not belong to the set financial institution and is a replica of the financial payment device of the set financial institution when the surface distribution area corresponding to the received financial payment device is not within the set area interval; Wherein, when the surface distribution area corresponding to the received financial payment device is not within the set area interval, judging that the financial payment device placed in the financial payment environment does not belong to the set financial institution and is a replica of the financial payment device of the set financial institution includes: the surface distribution area of ​​the financial payment device of the set financial institution is within the set area interval; Among them, based on the curvature values ​​at different positions of the closed curve, the reference acquisition quantity, the shooting focal length corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device, the deep feedforward network model is used to intelligently determine the surface distribution area corresponding to the financial payment device, including: the deep feedforward network model is a deep feedforward network after performing multiple learning, and the number of times the deep feedforward network is learned is monotonically positively correlated with the area span of the set area interval corresponding to the financial payment device of the set financial institution; The object determination device is further used to determine that the financial payment device placed in the financial payment environment belongs to a set financial institution and is not a replica of the financial payment device of the set financial institution when the surface distribution area corresponding to the received financial payment device is within a set area interval; The geometric shape corresponding to the known outline of the financial payment device, which is a closed curve and includes various curvature values ​​at different positions of the closed curve, includes: the known outline of the financial payment device is a rectangle or a combination of rectangles.

[0014] Figure 2 It is a schematic diagram of the internal structure of a financial payment management system using visual data analysis according to the second embodiment of the present invention.

[0015] and Figure 1 different, Figure 2 The financial payment management system using visual data analysis may also include the following components: a frequency monitoring component, connected to the object determination device, the third analysis device, the first analysis device and the second analysis device, respectively, for measuring the number of unit time operations of the object determination device, the third analysis device, the first analysis device and the second analysis device respectively; The number monitoring component is respectively connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device, and is used to respectively measure the number of unit time operations of the object judgment device, the third analysis device, the first analysis device and the second analysis device, including: the number monitoring component includes a plurality of operation measurement units, which are respectively connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device, so as to complete the measurement of the number of unit time operations of the object judgment device, the third analysis device, the first analysis device and the second analysis device; The number monitoring component includes a plurality of operation measurement units, which are respectively connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device to respectively measure the number of unit time operations of the object judgment device, the third analysis device, the first analysis device and the second analysis device, including: the plurality of operation measurement units are a plurality of operation sensor circuits, which are respectively connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device to respectively measure the number of unit time operations of the object judgment device, the third analysis device, the first analysis device and the second analysis device; The plurality of operation measurement units are a plurality of operation sensing circuits, which are respectively connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device to respectively measure the number of unit time operations of the object judgment device, the third analysis device, the first analysis device and the second analysis device, including: the plurality of operation sensing circuits have the same structure; Among them, the multiple operation measurement units are multiple operation sensor circuits, which are used to connect to the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively to complete the respective measurements of the number of operations per unit time of the object judgment device, the third analysis device, the first analysis device and the second analysis device. It also includes: the multiple operation sensor circuits have the same operation measurement upper limit value and operation measurement lower limit value.

[0016] Figure 3 It is a schematic diagram of the internal structure of a financial payment management system using visual data analysis according to the third embodiment of the present invention.

[0017] and Figure 1 different, Figure 3 The financial payment management system using visual data analysis may also include the following components: A communication service mechanism is arranged below the object determination device, the third analysis device, the first analysis device and the second analysis device, and is used to provide bottom support services for the object determination device, the third analysis device, the first analysis device and the second analysis device respectively; Wherein, the communication service mechanism is arranged below the object judgment device, the third analysis device, the first analysis device and the second analysis device, and is used to provide bottom support services for the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively, including: a plurality of slots are arranged on the communication service mechanism to respectively accommodate the object judgment device, the third analysis device, the first analysis device and the second analysis device; And wherein, a plurality of slots are arranged on the communication service mechanism to respectively accommodate the object judgment device, the third analysis device, the first analysis device and the second analysis device, including: the opening cross-sectional areas of the plurality of slots are the same to respectively accommodate the object judgment device, the third analysis device, the first analysis device and the second analysis device.

[0018] In addition, in the financial payment management system using visual data analysis, the use of a deep feedforward network model to intelligently determine the surface distribution area corresponding to the financial payment device based on the curvature values ​​at different positions of the closed curve, the reference acquisition number, the shooting focal length corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device also includes: synchronously inputting the curvature values ​​at different positions of the closed curve, the reference acquisition number, the shooting focal length corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device into the deep feedforward network model, and running the deep feedforward network model to obtain the surface distribution area corresponding to the financial payment device output by the deep feedforward network model.

[0019] While the present invention has been described with reference to certain exemplary embodiments thereof, it will be understood by those skilled in the art that various modifications and changes may be made thereto without departing from the spirit or scope of the invention as defined in the appended claims and their equivalents.

Claims

1. A financial payment management system using visual data analysis, characterized in that: The system comprises: A data collection mechanism, used for collecting directional visual data of a financial payment device placed in a financial payment environment to obtain and output a corresponding payment environment image, wherein the financial payment device placed in the financial payment environment is a financial payment device placed above a financial payment stand or located in a financial payment area; A multiple optimization mechanism, connected to the data acquisition mechanism, for sequentially performing gamma correction processing, nonlinear transformation processing based on exponential transformation, and guided filtering processing on the received payment environment image, so as to obtain and output a corresponding multiple optimization image; A first analysis device, connected to the multiple optimization mechanism, is used to obtain a geometric shape corresponding to a known contour of a financial payment device, wherein the geometric shape is a closed curve and includes various curvature values ​​at various positions of the closed curve; A second analysis device, connected to the first analysis device, is used to detect an occupied area of ​​the financial payment device in the received multiple optimized images according to a brightness value distribution range of the financial payment device, and obtain a total number of pixels occupied by the occupied area as a reference acquisition quantity; a third analysis device, connected to the first analysis device and the second analysis device respectively, for intelligently determining the surface distribution area corresponding to the financial payment device by using a deep feedforward network model based on the curvature values ​​at different positions of the closed curve, the reference acquisition quantity, the shooting focal length corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device; an object determination device connected to the third analysis device, and configured to determine that the financial payment device placed in the financial payment environment does not belong to the set financial institution and is a replica of the financial payment device of the set financial institution when the surface distribution area corresponding to the received financial payment device is not within the set area interval; Wherein, when the surface distribution area corresponding to the received financial payment device is not within the set area interval, judging that the financial payment device placed in the financial payment environment does not belong to the set financial institution and is a replica of the financial payment device of the set financial institution includes: the surface distribution area of ​​the financial payment device of the set financial institution is within the set area interval; Among them, based on the curvature values ​​at different positions of the closed curve, the reference acquisition quantity, the shooting focal lengths corresponding to the multiple optimized images, and the imaging depth of field of the financial payment device, a deep feedforward network model is used to intelligently determine the surface distribution area corresponding to the financial payment device, including: the deep feedforward network model is a deep feedforward network after multiple learnings, and the number of times the deep feedforward network learns is monotonically positively correlated with the area span of the set area interval corresponding to the financial payment device of the set financial institution.

2. The financial payment management system using visual data analysis as claimed in claim 1, characterized in that: The object determination device is further used to determine that the financial payment device placed in the financial payment environment belongs to a set financial institution and is not a replica of the financial payment device of the set financial institution when the surface distribution area corresponding to the received financial payment device is within the set area range; The geometric shape corresponding to the known outline of the financial payment device, which is a closed curve and includes various curvature values ​​at different positions of the closed curve, includes: the known outline of the financial payment device is a rectangle or a combination of rectangles.

3. The financial payment management system using visual data analysis as claimed in claim 2, characterized in that: The system further comprises: a frequency monitoring component, connected to the object determination device, the third analysis device, the first analysis device and the second analysis device, respectively, for measuring the number of operations per unit time of the object determination device, the third analysis device, the first analysis device and the second analysis device respectively; Among them, the number monitoring component is respectively connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device, and is used to respectively measure the number of unit time operations of the object judgment device, the third analysis device, the first analysis device and the second analysis device. The number monitoring component includes multiple operation measurement units, which are used to be respectively connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device to complete the respective measurements of the number of unit time operations of the object judgment device, the third analysis device, the first analysis device and the second analysis device.

4. The financial payment management system using visual data analysis as claimed in claim 3, characterized in that: The number monitoring component includes multiple operation measurement units, which are used to connect to the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively to complete the separate measurement of the number of operations per unit time of the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively. The multiple operation measurement units are multiple operation sensing circuits, which are used to connect to the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively to complete the separate measurement of the number of operations per unit time of the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively.

5. The financial payment management system using visual data analysis as claimed in claim 4, characterized in that: The multiple operation measurement units are multiple operation sensing circuits, which are used to be connected to the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively, so as to complete the respective measurements of the number of operations per unit time of the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively, including: the structures of the multiple operation sensing circuits are the same.

6. The financial payment management system using visual data analysis as claimed in claim 5, characterized in that: The multiple operation measurement units are multiple operation sensor circuits, which are used to connect to the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively to complete the respective measurements of the number of operations per unit time of the object judgment device, the third analysis device, the first analysis device and the second analysis device. It also includes: the multiple operation sensor circuits have the same operation measurement upper limit value and operation measurement lower limit value.

7. The financial payment management system using visual data analysis as claimed in claim 3, characterized in that: The system further comprises: The communication service mechanism is arranged below the object judgment device, the third analysis device, the first analysis device and the second analysis device, and is used to provide bottom support services for the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively.

8. The financial payment management system using visual data analysis as claimed in claim 7, characterized in that: A communication service mechanism is arranged below the object judgment device, the third analysis device, the first analysis device and the second analysis device, and is used to provide bottom support services for the object judgment device, the third analysis device, the first analysis device and the second analysis device respectively, including: a plurality of slots are arranged on the communication service mechanism to respectively accommodate the object judgment device, the third analysis device, the first analysis device and the second analysis device.

9. The financial payment management system using visual data analysis as claimed in claim 8, characterized in that: A plurality of slots are arranged on the communication service mechanism to respectively accommodate the object judgment device, the third analysis device, the first analysis device and the second analysis device, including: the opening cross-sectional areas of the plurality of slots are the same to respectively accommodate the object judgment device, the third analysis device, the first analysis device and the second analysis device.

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