Financial transaction place picture signal enhancement system

Abstract

The invention relates to a picture signal enhancement system for a financial transaction place. The picture signal enhancement system comprises a timing monitoring mechanism, a sequence optimization mechanism, an intelligent identification device and a numerical value comparison device. The financial transaction place picture signal enhancement system can improve the management level of the financial transaction place.

Description

Technical Field

[0001] The present invention relates to the field of financial transaction management, and in particular to a system for enhancing picture signals in financial transaction places. Background Art

[0002] Shops are real estate used for commercial activities, and are places where operators provide consumers with commodity transactions, services, and experience. In a broad sense, shops include not only retail businesses, but also real estate used in the entertainment, catering, and tourism industries, profitable exhibition halls, sports venues, and commercial business and transaction places with physical buildings such as banks and securities (these places involving money transactions are collectively referred to as financial transaction places).

[0003] For the monitoring end of the shop environment, due to the frequent movements of people and objects, the contents of each shop environment monitoring screen acquired in different time periods are different, and the filtering processing algorithms suitable for each shop environment monitoring screen content are also different. How to obtain each filtering processing algorithm suitable for each shop environment monitoring screen content is a technical problem that needs to be solved when the image filtering field is applied to shop environment monitoring.

[0004] The invention application embodiment of application publication number CN113706394A provides an image processing method, device and storage medium, including: performing image filtering on a target image according to a preset image filtering algorithm to obtain a high-frequency component, a medium-frequency component and a low-frequency component of the target image; performing a first processing on the target image to obtain a first processed sub-image, and multiplying the first processed sub-image with the high-frequency component of the target image to obtain a first sub-image; performing dynamic range mapping on the medium-frequency component of the target image to obtain a second sub-image; performing a second processing on the low-frequency component of the target image to obtain a second processed sub-image, performing a third processing on the low-frequency component of the target image to obtain a third processed sub-image, synthesizing the second processed sub-image and the third processed sub-image at a first preset ratio to obtain a third sub-image; synthesizing the first sub-image, the second sub-image and the third sub-image at a second preset ratio. The image processing method of the application embodiment can make the image details of the target image more prominent and the signal-to-noise ratio higher. Summary of the invention

[0005] In order to solve the technical problems in related fields, the present invention provides a financial transaction venue image signal enhancement system, which can numerically compare the signal-to-noise ratios of each image obtained by various filtering algorithms through AI recognition models for the monitoring images of shops, and use the filtering algorithm corresponding to the image signal-to-noise ratio with the smallest value as a reference filtering algorithm, and use the reference filtering algorithm to filter the real-time sharpened image corresponding to the commodity monitoring image to obtain the final enhanced image, thereby improving the image quality of the time-sharing shop monitoring image.

[0006] According to the present invention, a system for enhancing picture signals in financial trading places is provided, the system comprising: The timing monitoring mechanism is arranged just above the set shop and is used to obtain the monitoring picture of the set shop's operating environment during the set shop's operating time period to output as the operating monitoring picture; The order optimization mechanism includes a distortion processing device, an artifact removal device and a real-time sharpening device, wherein the artifact removal device is connected to the distortion processing device and the real-time sharpening device respectively, the distortion processing device is used to perform distortion correction processing on the received operation monitoring picture to obtain and output a corresponding distortion processed image, the artifact removal device is used to perform artifact removal processing on the received distortion processed image to obtain and output a corresponding artifact removed image, and the real-time sharpening device is connected to the artifact removal device to perform image sharpening processing based on a USM filter on the received artifact removed image to obtain and output a corresponding real-time sharpened image; An intelligent recognition device is connected to the order optimization mechanism and includes an information extraction unit, a model building unit and a model application unit, wherein the model application unit is connected to the information extraction unit and the model building unit respectively, and the intelligent recognition device is used to receive the real-time sharpened image, obtain various image information of the real-time sharpened image, wherein the various image information of the real-time sharpened image includes the signal-to-noise ratio, maximum noise amplitude, number of noise types and contrast of the real-time sharpened image, input the pre-compilation value of the algorithm code of the set filtering algorithm, the various image information of the real-time sharpened image and the resolution of the real-time sharpened image into the AI ​​recognition model after completing multiple learning, and execute the AI ​​recognition model after completing multiple learning to obtain the image signal-to-noise ratio of the real-time sharpened image outputted by the model after completing the setting filtering algorithm, wherein the AI ​​recognition model is based on a convolutional neural network; A numerical comparison device is connected to the intelligent recognition device and is used to numerically compare the signal-to-noise ratios of each image obtained by various filtering algorithms through the AI ​​recognition model, use the filtering algorithm corresponding to the image signal-to-noise ratio with the minimum value as a reference filtering algorithm, and use the reference filtering algorithm to filter the real-time sharpened image to obtain a final enhanced image.

[0007] The financial transaction venue image signal enhancement system of the present invention is stable in operation and widely used. Since it can compare the image signal-to-noise ratios of various filtering algorithms obtained by the AI ​​recognition model for the monitoring images of shops, the filtering algorithm corresponding to the image signal-to-noise ratio with the minimum value is used as the reference filtering algorithm, and the reference filtering algorithm is used to filter the real-time sharpened image corresponding to the commodity monitoring image to obtain the final enhanced image, thereby improving the image quality of the time-sharing shop monitoring image. DETAILED DESCRIPTION

[0008] The following is a detailed description of an embodiment of the financial transaction venue picture signal enhancement system of the present invention.

[0009] Embodiment 1

[0010] According to the first embodiment of the present invention, a system for enhancing a picture signal in a financial transaction place is shown, and the system includes: The timing monitoring mechanism is arranged just above the set shop and is used to obtain the monitoring picture of the set shop's operating environment during the set shop's operating time period to output as the operating monitoring picture; For example, the timing monitoring mechanism is arranged just above the set shop, and is used to obtain the monitoring picture of the set shop operation environment during the operation time period of the set shop, so as to output the operation monitoring picture, including: the timing monitoring mechanism has a timing trigger unit and a visual monitoring unit built in; The order optimization mechanism includes a distortion processing device, an artifact removal device and a real-time sharpening device, wherein the artifact removal device is connected to the distortion processing device and the real-time sharpening device respectively, the distortion processing device is used to perform distortion correction processing on the received operation monitoring picture to obtain and output a corresponding distortion processed image, the artifact removal device is used to perform artifact removal processing on the received distortion processed image to obtain and output a corresponding artifact removed image, and the real-time sharpening device is connected to the artifact removal device to perform image sharpening processing based on a USM filter on the received artifact removed image to obtain and output a corresponding real-time sharpened image; An intelligent recognition device is connected to the order optimization mechanism and includes an information extraction unit, a model building unit and a model application unit, wherein the model application unit is connected to the information extraction unit and the model building unit respectively, and the intelligent recognition device is used to receive the real-time sharpened image, obtain various image information of the real-time sharpened image, wherein the various image information of the real-time sharpened image includes the signal-to-noise ratio, maximum noise amplitude, number of noise types and contrast of the real-time sharpened image, input the pre-compilation value of the algorithm code of the set filtering algorithm, the various image information of the real-time sharpened image and the resolution of the real-time sharpened image into the AI ​​recognition model after completing multiple learning, and execute the AI ​​recognition model after completing multiple learning to obtain the image signal-to-noise ratio of the real-time sharpened image outputted by the model after completing the setting filtering algorithm, wherein the AI ​​recognition model is based on a convolutional neural network; A numerical comparison device, connected to the intelligent recognition device, for numerically comparing the signal-to-noise ratios of the images obtained by various filtering algorithms through the AI ​​recognition model, taking the filtering algorithm corresponding to the image signal-to-noise ratio with the minimum value as a reference filtering algorithm, and using the reference filtering algorithm to filter the real-time sharpened image to obtain a final enhanced image; Among them, various filtering algorithms include statistical sorting filtering algorithm, maximum filtering algorithm, minimum filtering algorithm, midpoint filtering algorithm, alpha mean filtering algorithm, adaptive filtering algorithm, bilateral filtering algorithm, guided filtering algorithm and box filtering algorithm; Among them, obtaining the monitoring screen of the set shop operation environment during the set shop operation time period to output as the operation monitoring screen includes: when it is detected that the current time is within the set shop operation time period, starting the acquisition operation of the monitoring screen of the set shop operation environment.

[0011] Embodiment 2

[0012] According to the second embodiment of the present invention, a system for enhancing the image signal of a financial transaction site is shown, which may include: The timing monitoring mechanism is arranged just above the set shop and is used to obtain the monitoring picture of the set shop's operating environment during the set shop's operating time period to output as the operating monitoring picture; The order optimization mechanism includes a distortion processing device, an artifact removal device and a real-time sharpening device, wherein the artifact removal device is connected to the distortion processing device and the real-time sharpening device respectively, the distortion processing device is used to perform distortion correction processing on the received operation monitoring picture to obtain and output a corresponding distortion processed image, the artifact removal device is used to perform artifact removal processing on the received distortion processed image to obtain and output a corresponding artifact removed image, and the real-time sharpening device is connected to the artifact removal device to perform image sharpening processing based on a USM filter on the received artifact removed image to obtain and output a corresponding real-time sharpened image; An intelligent recognition device is connected to the order optimization mechanism and includes an information extraction unit, a model building unit and a model application unit, wherein the model application unit is connected to the information extraction unit and the model building unit respectively, and the intelligent recognition device is used to receive the real-time sharpened image, obtain various image information of the real-time sharpened image, wherein the various image information of the real-time sharpened image includes the signal-to-noise ratio, maximum noise amplitude, number of noise types and contrast of the real-time sharpened image, input the pre-compilation value of the algorithm code of the set filtering algorithm, the various image information of the real-time sharpened image and the resolution of the real-time sharpened image into the AI ​​recognition model after completing multiple learning, and execute the AI ​​recognition model after completing multiple learning to obtain the image signal-to-noise ratio of the real-time sharpened image outputted by the model after completing the setting filtering algorithm, wherein the AI ​​recognition model is based on a convolutional neural network; A numerical comparison device, connected to the intelligent recognition device, for numerically comparing the signal-to-noise ratios of the images obtained by various filtering algorithms through the AI ​​recognition model, taking the filtering algorithm corresponding to the image signal-to-noise ratio with the minimum value as a reference filtering algorithm, and using the reference filtering algorithm to filter the real-time sharpened image to obtain a final enhanced image; a length detection device, which is arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and is connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively; Among them, the length detection device is arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and is respectively connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit, including: the length detection device is used to respectively realize on-site measurement of the current length of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit.

[0013] Embodiment 3

[0014] According to the third embodiment of the present invention, a system for enhancing the picture signal of a financial transaction site is shown, which may include: The timing monitoring mechanism is arranged just above the set shop and is used to obtain the monitoring picture of the set shop's operating environment during the set shop's operating time period to output as the operating monitoring picture; The order optimization mechanism includes a distortion processing device, an artifact removal device and a real-time sharpening device, wherein the artifact removal device is connected to the distortion processing device and the real-time sharpening device respectively, the distortion processing device is used to perform distortion correction processing on the received operation monitoring picture to obtain and output a corresponding distortion processed image, the artifact removal device is used to perform artifact removal processing on the received distortion processed image to obtain and output a corresponding artifact removed image, and the real-time sharpening device is connected to the artifact removal device to perform image sharpening processing based on a USM filter on the received artifact removed image to obtain and output a corresponding real-time sharpened image; An intelligent recognition device is connected to the order optimization mechanism and includes an information extraction unit, a model building unit and a model application unit, wherein the model application unit is connected to the information extraction unit and the model building unit respectively, and the intelligent recognition device is used to receive the real-time sharpened image, obtain various image information of the real-time sharpened image, wherein the various image information of the real-time sharpened image includes the signal-to-noise ratio, maximum noise amplitude, number of noise types and contrast of the real-time sharpened image, input the pre-compilation value of the algorithm code of the set filtering algorithm, the various image information of the real-time sharpened image and the resolution of the real-time sharpened image into the AI ​​recognition model after completing multiple learning, and execute the AI ​​recognition model after completing multiple learning to obtain the image signal-to-noise ratio of the real-time sharpened image outputted by the model after completing the setting filtering algorithm, wherein the AI ​​recognition model is based on a convolutional neural network; A numerical comparison device, connected to the intelligent recognition device, for numerically comparing the signal-to-noise ratios of the images obtained by various filtering algorithms through the AI ​​recognition model, taking the filtering algorithm corresponding to the image signal-to-noise ratio with the minimum value as a reference filtering algorithm, and using the reference filtering algorithm to filter the real-time sharpened image to obtain a final enhanced image; a temperature detection device, arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively; Among them, the temperature detection device is arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and is respectively connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit, including: the temperature detection device is used to respectively realize on-site measurement of the current temperature of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit.

[0015] Next, the specific structure of the financial transaction site picture signal enhancement system of the present invention will be further described.

[0016] In the financial transaction site picture signal enhancement system according to various embodiments of the present invention: A DSP processing chip is used to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

[0017] In the financial transaction site picture signal enhancement system according to various embodiments of the present invention: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing dynamic range expansion on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

[0018] In the financial transaction site picture signal enhancement system according to various embodiments of the present invention: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing gamma correction on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

[0019] In the financial transaction site picture signal enhancement system according to various embodiments of the present invention: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing distortion processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

[0020] In the financial transaction site picture signal enhancement system according to various embodiments of the present invention: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing morphological processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

[0021] In addition, in the financial transaction venue image signal enhancement system, obtaining a monitoring image of the set shop's operating environment during the set shop's operating time period as an operating monitoring image output also includes: when it is detected that the current time is outside the set shop's operating time period, ending the acquisition operation of the monitoring image of the set shop's operating environment.

[0022] Therefore, the present invention has the following four outstanding technical effects: (1) numerically comparing the signal-to-noise ratios of each image obtained by various filtering algorithms through the AI ​​recognition model, taking the filtering algorithm corresponding to the image signal-to-noise ratio with the minimum value as the reference filtering algorithm, and using the reference filtering algorithm to filter the real-time sharpened image to obtain the final enhanced image; (2) obtaining various image information of the real-time sharpened image after various optimization processing of the store monitoring image, wherein the various image information of the real-time sharpened image includes the signal-to-noise ratio, maximum noise amplitude, number of noise types and contrast of the real-time sharpened image, thereby providing reliable multiple basic data for the optimization of the filtering algorithm; (3) inputting the pre-compilation value of the algorithm code of the set filtering algorithm, various image information of the real-time sharpened image, and the resolution of the real-time sharpened image into the AI ​​recognition model after completing multiple learning, and executing the AI ​​recognition model after completing multiple learning to obtain the image signal-to-noise ratio of the real-time sharpened image output by the AI ​​recognition model after completing the set filtering algorithm; (4) The filtering algorithm corresponding to the image signal-to-noise ratio with the largest value among the various image signal-to-noise ratios corresponding to the various filtering algorithms is output as the preferred filtering algorithm.

[0023] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention.

[0024] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features.

[0025] Although the present invention has been disclosed as above by the embodiments, it is not intended to limit the present invention. Any person skilled in the art can make appropriate changes and equivalent substitutions without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be based on the scope defined by the claims of this application.

Claims

1. A financial transaction site image signal enhancement system, characterized in that: The system comprises: The timing monitoring mechanism is arranged just above the set shop and is used to obtain the monitoring picture of the set shop's operating environment during the set shop's operating time period to output as the operating monitoring picture; The order optimization mechanism includes a distortion processing device, an artifact removal device and a real-time sharpening device, wherein the artifact removal device is connected to the distortion processing device and the real-time sharpening device respectively, the distortion processing device is used to perform distortion correction processing on the received operation monitoring picture to obtain and output a corresponding distortion processed image, the artifact removal device is used to perform artifact removal processing on the received distortion processed image to obtain and output a corresponding artifact removed image, and the real-time sharpening device is connected to the artifact removal device to perform image sharpening processing based on a USM filter on the received artifact removed image to obtain and output a corresponding real-time sharpened image; An intelligent recognition device is connected to the order optimization mechanism and includes an information extraction unit, a model building unit and a model application unit, wherein the model application unit is connected to the information extraction unit and the model building unit respectively, and the intelligent recognition device is used to receive the real-time sharpened image, obtain various image information of the real-time sharpened image, wherein the various image information of the real-time sharpened image includes the signal-to-noise ratio, maximum noise amplitude, number of noise types and contrast of the real-time sharpened image, input the pre-compilation value of the algorithm code of the set filtering algorithm, the various image information of the real-time sharpened image and the resolution of the real-time sharpened image into the AI ​​recognition model after completing multiple learning, and execute the AI ​​recognition model after completing multiple learning to obtain the image signal-to-noise ratio of the real-time sharpened image outputted by the model after completing the setting filtering algorithm, wherein the AI ​​recognition model is based on a convolutional neural network; A numerical comparison device, connected to the intelligent recognition device, for numerically comparing the signal-to-noise ratios of the images obtained by various filtering algorithms through the AI ​​recognition model, taking the filtering algorithm corresponding to the image signal-to-noise ratio with the minimum value as a reference filtering algorithm, and using the reference filtering algorithm to filter the real-time sharpened image to obtain a final enhanced image; Among them, various filtering algorithms include statistical sorting filtering algorithm, maximum filtering algorithm, minimum filtering algorithm, midpoint filtering algorithm, alpha mean filtering algorithm, adaptive filtering algorithm, bilateral filtering algorithm, guided filtering algorithm and box filtering algorithm.

2. The financial transaction site image signal enhancement system according to claim 1, characterized in that: Acquiring a monitoring screen of a set shop's operating environment during the set shop's operating time period to output the monitoring screen as the operating monitoring screen includes: when detecting that the current time is within the set shop's operating time period, starting an acquisition operation of the monitoring screen of the set shop's operating environment.

3. The financial transaction site image signal enhancement system according to claim 2, characterized in that: The system further comprises: a length detection device, which is arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and is connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively; Among them, the length detection device is arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and is respectively connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit, including: the length detection device is used to respectively realize on-site measurement of the current length of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit.

4. The financial transaction site image signal enhancement system according to claim 2, characterized in that: The system further comprises: a temperature detection device, arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively; Among them, the temperature detection device is arranged near the order optimization mechanism, the information extraction unit, the model building unit and the model application unit and is respectively connected to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit, including: the temperature detection device is used to respectively realize on-site measurement of the current temperature of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit.

5. The financial transaction site image signal enhancement system according to any one of claims 2 to 4, characterized in that: A DSP processing chip is used to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

6. The financial transaction site image signal enhancement system according to claim 5, characterized in that: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing dynamic range expansion on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

7. The financial transaction site image signal enhancement system according to claim 5, characterized in that: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing gamma correction on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

8. The financial transaction site image signal enhancement system according to claim 5, characterized in that: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing distortion processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.

9. The financial transaction site image signal enhancement system according to claim 5, characterized in that: Using a DSP processing chip to perform image data processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively includes: performing morphological processing on the output data of the order optimization mechanism, the information extraction unit, the model building unit and the model application unit to obtain the output processing data corresponding to the order optimization mechanism, the information extraction unit, the model building unit and the model application unit respectively.