Quantitative Processing Type Intelligent Analysis System

Abstract

The present invention relates to an intelligent analysis system of a quantitative processing type, comprising: a visible light imaging component installed in a financial payment environment to output a real-time imaging image signal; a combined resolution mechanism for intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component by using an AI analysis model based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and various content information of the real-time imaging image signal. The intelligent analysis system of the quantitative processing type of the present invention has a compact structure, is safe and reliable. Since it can provide multiple pieces of basic data selected specifically and an AI analysis model with customized structure for intelligent analysis of various image processing types passed by the real-time imaging image signal output by the visible light imaging component in the state of a black box, it provides key information for maintaining transaction security and subsequent post-event tracking.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and particularly to an intelligent analysis system of quantitative processing type. Background Art

[0002] In recent years, outside the traditional financial payment and settlement method, i.e., the intermediate business of banks, third-party payment services have emerged suddenly with the development of the Internet and become an important force in financial payment services. With the gradual opening of the traditional financial field payment and settlement business to third-party payment enterprises, the online payment service has formed an industrial pattern including third-party payment enterprises, traditional banks, e-commerce giants, and telecommunications operators. The service entities and models in the payment field are more diversified, and third-party payment organizations have started to enter the traditional business of banks and established an advantageous position in the online payment field.

[0003] Obviously, the financial payment environment is particularly important for transaction security and post-event tracking. Therefore, generally, a visible light camera component with a high definition is set and installed in the financial payment environment to perform visible light camera actions, for obtaining and outputting corresponding real-time camera image signals, providing reliable basic data for the transaction security of financial payment and post-event tracking. However, if the real-time camera image signals undergo various image processing types within the visible light camera component, when analyzing the real scene of the financial payment environment, these image processing types will affect the real content of the image signals, bringing interference to transaction security and post-event tracking. Summary of the Invention

[0004] In order to overcome the technical problems in the prior art, the present invention proposes an intelligent analysis system of quantitative processing type, which provides multiple pieces of basic data selected specifically for intelligent analysis of various image processing types that the real-time camera image signals output by a visible light camera component in a black box state undergo within the visible light camera component. The multiple pieces of basic data include the resolution of the real-time camera image signals, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signals, thereby providing guarantee for the determination of the real content of the image signals, facilitating the maintenance of transaction security and subsequent post-event tracking. Specifically, the various sensing data of the visible light camera component are the pixel size, sensitivity, target surface size, and quantum efficiency of the image sensing component of the visible light camera component; the multiple content information of the real-time camera image signals are the proportion of the background area of the real-time camera image signals, the number of noise types, and the horizontal and vertical coordinate values of each constituent pixel point, and the structure customization of the AI analysis model for performing intelligent analysis of various image processing types, and the customization is manifested in introducing a training conversion component for performing multiple training operations on a deep feedforward network to obtain the deep feedforward network after completing multiple training operations and outputting it as the AI analysis model.

[0005] According to the present invention, a quantitative processing type intelligent analysis system is provided, and the system includes:

[0006] A visible light imaging component, installed in a financial payment environment to perform visible light imaging operations, for acquiring and outputting corresponding real-time imaging image signals;

[0007] A training conversion component, used for performing multiple training operations on a deep feedforward network to obtain a deep feedforward network after completing multiple training operations and outputting it as an AI analysis model;

[0008] A sensing detection mechanism, connected to the visible light imaging component, for acquiring various sensing data of the visible light imaging component, and the various sensing data of the visible light imaging component are the pixel size, sensitivity, target surface size, and quantum efficiency of the image sensing component of the visible light imaging component;

[0009] A content analysis mechanism, connected to the visible light imaging component, for acquiring multiple content information of the real-time imaging image signal, and the multiple content information of the real-time imaging image signal are the background area ratio, the number of noise types, and the horizontal coordinate values and vertical coordinate values of each constituent pixel point of the real-time imaging image signal;

[0010] A combination resolution mechanism, respectively connected to the training conversion component, the sensing detection mechanism, and the content analysis mechanism, for intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and multiple content information of the real-time imaging image signal by using an AI analysis model;

[0011] Wherein, intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and multiple content information of the real-time imaging image signal by using an AI analysis model includes: the AI analysis model outputs respective type numbers corresponding to various image processing types passed by the real-time imaging image signal in the visible light imaging component;

[0012] Wherein, intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and multiple content information of the real-time imaging image signal by using an AI analysis model includes: various image processing types passed by the intelligently analyzed real-time imaging image signal in the visible light imaging component are multiple of image signal enhancement processing, image signal smoothing processing, image signal filtering processing, and image signal interpolation processing;

[0013] Among them, various image processing types that the real-time camera image signal of the intelligent analysis passes through in the visible light camera component include image signal enhancement processing, image signal smoothing processing, image signal filtering processing, and image signal interpolation processing. The number of corresponding types among the various types is equal to a fixed number.

[0014] It can be seen from this that the present invention has at least the following three important inventive points:

[0015] Important inventive point one: Provide multiple pieces of basic data for targeted selection for the intelligent analysis of various image processing types that the real-time camera image signal output by the visible light camera component in the black box state passes through in the visible light camera component, including the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal;

[0016] Important inventive point two: Specifically, the various sensing data of the visible light camera component are the pixel size, sensitivity, target surface size, and quantum efficiency of the image sensing component of the visible light camera component, and the multiple content information of the real-time camera image signal are the proportion of the background area of the real-time camera image signal, the number of noise types, and the horizontal and vertical coordinate values of each constituent pixel point;

[0017] Important inventive point three: The structure customization of the AI analysis model that performs intelligent analysis of various image processing types. The customization is manifested in introducing a training conversion component to perform multiple training operations on the deep feedforward network to obtain the deep feedforward network after multiple training operations and output it as the AI analysis model.

[0018] The intelligent analysis system of the quantitative processing type of the present invention has a compact structure, is safe and reliable. Since it can provide multiple pieces of basic data for targeted selection and an AI analysis model with customized structure for the intelligent analysis of various image processing types that the real-time camera image signal output by the visible light camera component in the black box state passes through in the visible light camera component, it provides key information for maintaining transaction security and subsequent post-event tracking. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The following will describe the implementation embodiments of the present invention in conjunction with the drawings, where:

[0020] Figure 1 It is a block diagram of the internal structure of the intelligent analysis system of the quantitative processing type shown according to Embodiment 1 of the present invention.

[0021] Figure 2 It is a block diagram of the internal structure of the intelligent analysis system of the quantitative processing type shown according to Embodiment 2 of the present invention.

[0022] Figure 3It is a block diagram of the internal structure of the intelligent analysis system of the quantitative processing type shown in Embodiment 3 of the present invention. Detailed implementation mode

[0023] Hereinafter, embodiments of the intelligent analysis system of the quantitative processing type of the present invention will be described in detail with reference to the accompanying drawings.

[0024] Figure 1 It is a block diagram of the internal structure of the intelligent analysis system of the quantitative processing type shown in Embodiment 1 of the present invention. The system includes:

[0025] A visible light imaging component, installed in a financial payment environment to perform visible light imaging operations, for acquiring and outputting corresponding real-time imaging image signals;

[0026] A training conversion component, used to perform multiple training operations on a deep feedforward network to obtain the deep feedforward network after completing multiple training operations and output it as an AI analysis model;

[0027] Exemplarily, the training conversion component, used to perform multiple training operations on a deep feedforward network to obtain the deep feedforward network after completing multiple training operations and output it as an AI analysis model includes: the number of training operations of the deep feedforward network is positively correlated with the resolution of the visible light imaging component;

[0028] A sensing detection mechanism, connected to the visible light imaging component, for acquiring various sensing data of the visible light imaging component. The various sensing data of the visible light imaging component are the pixel size, sensitivity, target surface size, and quantum efficiency of the image sensing component of the visible light imaging component;

[0029] A content analysis mechanism, connected to the visible light imaging component, for acquiring multiple content information of the real-time imaging image signal. The multiple content information of the real-time imaging image signal are the proportion of the background area of the real-time imaging image signal, the number of noise types, and the horizontal coordinate values and vertical coordinate values of each constituent pixel point;

[0030] A combined resolution mechanism, respectively connected to the training conversion component, the sensing detection mechanism, and the content analysis mechanism, for intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and multiple content information of the real-time imaging image signal using an AI analysis model;

[0031] Among them, based on the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal, an AI analysis model is used to intelligently analyze various image processing types that the real-time camera image signal passes through in the visible light camera component, including: the AI analysis model outputs various type numbers corresponding to each of the various image processing types that the real-time camera image signal passes through in the visible light camera component;

[0032] Among them, based on the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal, an AI analysis model is used to intelligently analyze various image processing types that the real-time camera image signal passes through in the visible light camera component, including: various image processing types that the intelligently analyzed real-time camera image signal passes through in the visible light camera component are multiple types among image signal enhancement processing, image signal smoothing processing, image signal filtering processing, and image signal interpolation processing;

[0033] Among them, various image processing types that the intelligently analyzed real-time camera image signal passes through in the visible light camera component are multiple types among image signal enhancement processing, image signal smoothing processing, image signal filtering processing, and image signal interpolation processing, including: the number of types corresponding to the multiple types is equal to a fixed number;

[0034] And among them, based on the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal, an AI analysis model is used to intelligently analyze various image processing types that the real-time camera image signal passes through in the visible light camera component, including: inputting the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal into the AI analysis model in parallel.

[0035] Figure 2 It is an internal structure block diagram of the quantitative processing type intelligent analysis system shown according to Embodiment 2 of the present invention.

[0036] Compared with Figure 1 , Figure 2 the quantitative processing type intelligent analysis system in

[0037] A voltage conversion device is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism;

[0038] Among them, a voltage conversion device is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism. The voltage conversion device is used to provide the respective working voltages required by the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism.

[0039] Figure 3 It is a block diagram of the internal structure of a quantitative processing type intelligent analysis system shown in Embodiment 3 of the present invention.

[0040] Compared with Figure 1 , Figure 3 the quantitative processing type intelligent analysis system in

[0041] A quartz oscillation device is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism;

[0042] Among them, the quartz oscillation device is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism, including: the quartz oscillation device is used to provide the respective reference clock pulses required by the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism.

[0043] Next, the specific structure of the quantitative processing type intelligent analysis system of the present invention will be further described.

[0044] In the quantitative processing type intelligent analysis system according to any embodiment of the present invention:

[0045] A programmable logic device is used to perform image data processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively.

[0046] In the quantitative processing type intelligent analysis system according to any embodiment of the present invention:

[0047] Using a programmable logic device to perform image data processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively includes: performing image sharpening processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively.

[0048] In a quantitative processing type intelligent analysis system according to any implementation of the present invention:

[0049] Using a programmable logic device to perform image data processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively includes: performing image enhancement processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively.

[0050] In a quantitative processing type intelligent analysis system according to any implementation of the present invention:

[0051] Using a programmable logic device to perform image data processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively includes: performing image filtering processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively.

[0052] And in a quantitative processing type intelligent analysis system according to any implementation of the present invention:

[0053] Performing image data processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism by using a programmable logic device to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively includes: performing distortion correction processing on the output data of the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism to obtain the output processing data corresponding to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism respectively.

[0054] In addition, in the quantitative processing type intelligent analysis system, the intelligent analysis of various image processing types that the real-time camera image signal has passed through in the visible light camera component based on the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal further includes: executing the AI analysis model to obtain various image processing types that the real-time camera image signal output by the AI analysis model has passed through in the visible light camera component.

[0055] The above embodiments are merely examples for implementing the present invention, and the present invention is not limited thereto. Various deformations of these embodiments are within the scope of the present invention, and it can be understood from the above content that other various embodiments are also possible within the scope of the present invention.

Claims

1. An intelligent analysis system of a quantitative processing type, characterized in that, The system includes: A visible light imaging component, installed in a financial payment environment to perform visible light imaging operations, for acquiring and outputting corresponding real-time imaging image signals; A training and conversion component, for performing multiple training operations on a deep feedforward network to obtain the deep feedforward network after multiple training operations and output it as an AI analysis model; A sensing and detection mechanism, connected to the visible light imaging component, for acquiring various sensing data of the visible light imaging component, and the various sensing data of the visible light imaging component are the pixel size, sensitivity, target surface size, and quantum efficiency of the image sensing component of the visible light imaging component; A content analysis mechanism, connected to the visible light imaging component, for acquiring multiple content information of the real-time imaging image signal, and the multiple content information of the real-time imaging image signal are the proportion of the background area, the number of noise types, and the horizontal and vertical coordinate values of each constituent pixel point of the real-time imaging image signal; A combined resolution mechanism, respectively connected to the training and conversion component, the sensing and detection mechanism, and the content analysis mechanism, for intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and multiple content information of the real-time imaging image signal using the AI analysis model; Among them, intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and multiple content information of the real-time imaging image signal using the AI analysis model includes: the AI analysis model outputs the respective type numbers corresponding to various image processing types passed by the real-time imaging image signal in the visible light imaging component; Among them, intelligently analyzing various image processing types passed by the real-time imaging image signal in the visible light imaging component based on the resolution of the real-time imaging image signal, various sensing data of the visible light imaging component, and multiple content information of the real-time imaging image signal using the AI analysis model includes: various image processing types passed by the intelligently analyzed real-time imaging image signal in the visible light imaging component are multiple types among image signal enhancement processing, image signal smoothing processing, image signal filtering processing, and image signal interpolation processing; Among them, various image processing types passed by the intelligently analyzed real-time imaging image signal in the visible light imaging component being multiple types among image signal enhancement processing, image signal smoothing processing, image signal filtering processing, and image signal interpolation processing includes: the number of types corresponding to the multiple types is equal to a fixed number.

2. The intelligent analysis system for quantitative processing types according to claim 1, wherein: Based on the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal, an AI analysis model is used to intelligently analyze various image processing types that the real-time camera image signal goes through in the visible light camera component, including: parallelly inputting the resolution of the real-time camera image signal, various sensing data of the visible light camera component, and multiple content information of the real-time camera image signal into the AI analysis model.

3. The quantitative processing type intelligent analysis system according to claim 2, wherein, The system further includes: A voltage conversion device, which is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism; Among them, the voltage conversion device, which is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism, includes: the voltage conversion device is used to respectively provide the working voltages required by the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism.

4. The intelligent analysis system of the quantitative processing type according to claim 2, wherein The system further includes: A quartz oscillation device, which is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism; Among them, the quartz oscillation device, which is arranged near the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism and is respectively connected to the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism, includes: the quartz oscillation device is used to respectively provide the reference clock pulses required by the combined resolution mechanism, the training conversion component, the sensing detection mechanism, and the content analysis mechanism.

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