Financial payment terminal mode intelligent switching system

Abstract

The invention relates to a financial payment terminal mode intelligent switching system which comprises a mode switching device which is arranged in a financial payment terminal and used for controlling the financial payment terminal to enter a sleep mode from a payment mode when receiving a first switching instruction and controlling the financial payment terminal to enter a sleep mode from a sleep mode when receiving a second switching instruction. Controlling the financial payment terminal to enter a payment mode from a sleep mode; and the numerical value comparison equipment is used for intelligently analyzing whether an object existence identifier which is closer to the human body object with the scene depth smaller than a set depth-of-field threshold exists or not by adopting a deep neural network model based on the visual information. According to the invention, whether the object existence identifier which is closer to the human body object and has the scene depth smaller than the set depth-of-field threshold exists or not can be intelligently analyzed based on the visual data screened in a targeted manner, and the mode switching of the financial payment terminal is executed based on the object existence identifier. Therefore, the financial payment terminal is awakened to enter the payment mode only when a relatively close human body object exists at the front end of the financial payment terminal.

Description

Technical Field

[0001] The present invention relates to the field of financial payment, and in particular to an intelligent switching system for financial payment terminal modes. Background Art

[0002] A payment terminal is a hardware device of a payment system that is responsible for receiving, recording, processing, securely storing and transmitting transaction data. It is an intelligent device, such as a POS (point of sale) terminal, an electronic check terminal, a digital cash terminal, and a smart card terminal. These payment terminals can achieve fast data transmission and provide safe and efficient operation for local payments. Payment terminals usually contain hardware and software components. The hardware components are mainly composed of computers, processors, storage devices, paper printers and other devices, while the software components are the core of the payment system, which are used to process transaction data and realize related functions. In addition, the payment terminal also has security features to ensure the secure transmission and storage of transaction data, prevent user information leakage, and prevent risks such as fraud.

[0003] The emergence of payment terminals is of great significance to today's payment industry. For example, payment terminals provide a more intelligent and efficient transaction model for financial institutions and consumers. Because it uses advanced security technology, payment terminals can achieve a safer and more convenient payment process than traditional payment methods. In addition, payment through payment terminals can make every transaction have a result, and can also help users reduce the workload of bookkeeping.

[0004] However, in the actual operation process of the payment terminal that performs specific financial payment behaviors such as scanning codes, the payment terminal is either always in the specific financial payment behavior such as scanning codes after startup, or is always in the specific financial payment behavior such as scanning codes after startup based on the user's operation settings. It is impossible to start the specific financial payment behavior such as scanning codes when a valid target is approaching, resulting in waste of power consumption of the payment terminal and a low level of intelligence.

[0005] CN118052549A discloses a method, system, terminal device and storage medium for payment failure switching. In the method, if payment fails through the current payment channel, a first preset switching scheme corresponding to the current payment channel is called in a payment switching database to switch the current payment channel to a first backup payment channel in the first preset switching scheme; if payment still fails, the current payment channel is switched to a second backup payment channel in the first preset switching scheme according to the first preset switching scheme until payment is successful; if payment fails through all backup payment channels in the first preset switching scheme, the second preset switching scheme corresponding to the current backup payment channel is called to switch the current backup payment channel to a first backup payment channel in the second preset switching scheme until payment is successful; when the number of times the preset switching scheme is called reaches a first preset threshold number of times, the current payment channel is switched to a fallback payment channel to improve payment efficiency.

[0006] CN113592483A discloses a payment method switching method, a smart payment device and a storage medium, wherein the method comprises: displaying push information on a display screen; in response to a payment trigger operation of a payee user, starting a camera, and scanning a payment code picture displayed by a payee user through the camera; in response to a failed scan operation for the payment code picture, displaying a payment code picture on the display screen while displaying the push information, so that the payee user can scan the payment code picture to complete the payment operation. Summary of the invention

[0007] To this end, the present invention provides a financial payment terminal mode intelligent switching system, the system comprising: A mode switching device is provided in the financial payment terminal, and is used to control the financial payment terminal to enter a sleep mode from a payment mode when a first switching instruction is received, and is also used to control the financial payment terminal to enter a payment mode from a sleep mode when a second switching instruction is received; A front-end acquisition device is provided at the front end of the financial payment terminal and is used to perform image data acquisition actions facing the front-end scene of the financial payment terminal to obtain and output a corresponding front-end scene image; A step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, and is used to sequentially perform Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion on the received front-end scene image to obtain and output a corresponding step-by-step enhancement image; A region analysis device, connected to the step-by-step enhancement device, for receiving the step-by-step enhancement image, and obtaining respective curvature values ​​corresponding to respective locations evenly spaced on the edge curve of each image region in the step-by-step enhancement image as respective first-type curvature values; A pattern detection device, used for obtaining respective curvature values ​​corresponding to respective locations evenly spaced on an edge curve of a reference body shape pattern corresponding to a human object as respective second-type curvature values, wherein the number of the respective second-type curvature values ​​is equal to the number of the respective first-type curvature values; a numerical comparison device, connected to the mode switching device, the region analysis device and the pattern detection device, respectively, for simultaneously inputting a set depth of field threshold, each first type of curvature value, each second type of curvature value, the number of pixels occupied by the image area and the number of pixels occupied by the reference body shape pattern corresponding to the human object into a deep neural network model and executing the model to obtain an object existence flag outputted by the model indicating whether there is a closer human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, wherein the deep neural network model is a deep neural network after completing a preset number of multiple learnings; In which, the numerical comparison device is also used to send the second switching instruction to the mode switching device when the object existence mark indicates that there is a close human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, and to send the first switching instruction to the mode switching device when the object existence mark indicates that there is no close human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image.

[0008] The technical solution of the present invention can solve the technical problems in the related fields by simultaneously inputting each first type curvature value, each second type curvature value, the number of pixels occupied by the image area, and the number of pixels occupied by the reference body shape pattern corresponding to the human object into a deep neural network model and executing the model to obtain its output, indicating whether there is an object existence identifier of a closer human object with a depth of field shallower than a set depth of field threshold in the step-by-step enhanced image, and performing mode switching of the financial payment terminal based on the object existence identifier, so that the financial payment terminal is awakened to enter the payment mode only when there is a closer human object at the front end of the financial payment terminal, thereby effectively reducing the power consumption of the financial payment terminal. DETAILED DESCRIPTION

[0009] The implementation scheme of the financial payment terminal mode intelligent switching system of the present invention will be described in detail below.

[0010] Implementation A According to embodiment A of the present invention, a financial payment terminal mode intelligent switching system is shown, and the system includes: A mode switching device is provided in the financial payment terminal, and is used to control the financial payment terminal to enter a sleep mode from a payment mode when a first switching instruction is received, and is also used to control the financial payment terminal to enter a payment mode from a sleep mode when a second switching instruction is received; Specifically, the mode switching device is arranged in the financial payment terminal, and is used to control the financial payment terminal from the payment mode to the sleep mode when receiving the first switching instruction, and is also used to control the financial payment terminal from the sleep mode to the payment mode when receiving the second switching instruction, including: selecting to use a PAL device to implement the mode switching device, which is arranged in the financial payment terminal, and is used to control the financial payment terminal from the payment mode to the sleep mode when receiving the first switching instruction, and is also used to control the financial payment terminal from the sleep mode to the payment mode when receiving the second switching instruction; A front-end acquisition device is provided at the front end of the financial payment terminal and is used to perform image data acquisition actions facing the front-end scene of the financial payment terminal to obtain and output a corresponding front-end scene image; A step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, and is used to sequentially perform Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion on the received front-end scene image to obtain and output a corresponding step-by-step enhancement image; A region analysis device, connected to the step-by-step enhancement device, for receiving the step-by-step enhancement image, and obtaining respective curvature values ​​corresponding to respective locations evenly spaced on the edge curve of each image region in the step-by-step enhancement image as respective first-type curvature values; A pattern detection device, used for obtaining respective curvature values ​​corresponding to respective locations evenly spaced on an edge curve of a reference body shape pattern corresponding to a human object as respective second-type curvature values, wherein the number of the respective second-type curvature values ​​is equal to the number of the respective first-type curvature values; a numerical comparison device, connected to the mode switching device, the region analysis device and the pattern detection device, respectively, for simultaneously inputting a set depth of field threshold, each first type of curvature value, each second type of curvature value, the number of pixels occupied by the image area and the number of pixels occupied by the reference body shape pattern corresponding to the human object into a deep neural network model and executing the model to obtain an object existence flag outputted by the model indicating whether there is a closer human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, wherein the deep neural network model is a deep neural network after completing a preset number of multiple learnings; The numerical comparison device is further used to send the second switching instruction to the mode switching device when the object existence mark indicates that there is a closer human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, and to send the first switching instruction to the mode switching device when the object existence mark indicates that there is no closer human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image; Among them, the step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, which is used to sequentially perform Gaussian high-pass filtering, salt and pepper interference filtering and morphological processing of first dilation and then corrosion on the received front-end scene image to obtain and output the corresponding step-by-step enhancement image, including: the primary enhancement component, the secondary enhancement component and the final enhancement component are used to respectively perform Gaussian high-pass filtering, salt and pepper interference filtering and morphological processing of first dilation and then corrosion on the image data received by each; Among them, the step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, which is used to perform Gaussian high-pass filtering, salt and pepper interference filtering and morphological processing of first dilation and then corrosion on the received front-end scene image in sequence to obtain and output the corresponding step-by-step enhanced image. It also includes: the primary enhancement component, the secondary enhancement component and the final enhancement component are connected in sequence.

[0011] Implementation Plan B According to embodiment B of the present invention, a financial payment terminal mode intelligent switching system is shown, including the following components: A mode switching device is provided in the financial payment terminal, and is used to control the financial payment terminal to enter a sleep mode from a payment mode when a first switching instruction is received, and is also used to control the financial payment terminal to enter a payment mode from a sleep mode when a second switching instruction is received; A front-end acquisition device is provided at the front end of the financial payment terminal and is used to perform image data acquisition actions facing the front-end scene of the financial payment terminal to obtain and output a corresponding front-end scene image; A step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, and is used to sequentially perform Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion on the received front-end scene image to obtain and output a corresponding step-by-step enhancement image; A region analysis device, connected to the step-by-step enhancement device, for receiving the step-by-step enhancement image, and obtaining respective curvature values ​​corresponding to respective locations evenly spaced on the edge curve of each image region in the step-by-step enhancement image as respective first-type curvature values; A pattern detection device, used for obtaining respective curvature values ​​corresponding to respective locations evenly spaced on an edge curve of a reference body shape pattern corresponding to a human object as respective second-type curvature values, wherein the number of the respective second-type curvature values ​​is equal to the number of the respective first-type curvature values; a numerical comparison device, connected to the mode switching device, the region analysis device and the pattern detection device, respectively, for simultaneously inputting a set depth of field threshold, each first type of curvature value, each second type of curvature value, the number of pixels occupied by the image area and the number of pixels occupied by the reference body shape pattern corresponding to the human object into a deep neural network model and executing the model to obtain an object existence flag outputted by the model indicating whether there is a closer human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, wherein the deep neural network model is a deep neural network after completing a preset number of multiple learnings; The SOC control chip is connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component respectively, and is used to provide configuration operations of working parameters for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner; The SOC control chip is respectively connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component with configuration operations of working parameters in a time-sharing manner, including: the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component share the same working parameter configuration interface; Wherein, the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component use different configuration address data; Wherein, a parallel connection of a communication data link is established between each of the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component through a parallel data bus; Among them, the parallel connection of the communication data link established between each of the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component through a parallel data bus includes: the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

[0012] Implementation Plan C According to embodiment C of the present invention, a financial payment terminal mode intelligent switching system is shown, including the following components: A mode switching device is provided in the financial payment terminal, and is used to control the financial payment terminal to enter a sleep mode from a payment mode when a first switching instruction is received, and is also used to control the financial payment terminal to enter a payment mode from a sleep mode when a second switching instruction is received; A front-end acquisition device is provided at the front end of the financial payment terminal and is used to perform image data acquisition actions facing the front-end scene of the financial payment terminal to obtain and output a corresponding front-end scene image; A step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, and is used to sequentially perform Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion on the received front-end scene image to obtain and output a corresponding step-by-step enhancement image; A region analysis device, connected to the step-by-step enhancement device, for receiving the step-by-step enhancement image, and obtaining respective curvature values ​​corresponding to respective locations evenly spaced on the edge curve of each image region in the step-by-step enhancement image as respective first-type curvature values; A pattern detection device, used for obtaining respective curvature values ​​corresponding to respective locations evenly spaced on an edge curve of a reference body shape pattern corresponding to a human object as respective second-type curvature values, wherein the number of the respective second-type curvature values ​​is equal to the number of the respective first-type curvature values; a numerical comparison device, connected to the mode switching device, the region analysis device and the pattern detection device, respectively, for simultaneously inputting a set depth of field threshold, each first type of curvature value, each second type of curvature value, the number of pixels occupied by the image area and the number of pixels occupied by the reference body shape pattern corresponding to the human object into a deep neural network model and executing the model to obtain an object existence flag outputted by the model indicating whether there is a closer human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, wherein the deep neural network model is a deep neural network after completing a preset number of multiple learnings; The power support device is connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component respectively, and is used to provide power distribution support of different working voltages for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner; The power support device is respectively connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support with different working voltages for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner, including: two or more devices with the same working voltage requirements among the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component use the same power supply line; Wherein, the power support device is respectively connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support of different working voltages for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner, and further includes: the power support device is an uninterruptible power supply device; Wherein, the power support device is respectively connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support with different working voltages for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in time-sharing, and further includes: providing different working voltages including 3.3V working voltage for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in time-sharing; And wherein, the power support device is respectively connected to the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support with different working voltages for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner, and also includes: providing different working voltages including a 5V working voltage for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner.

[0013] In addition, in the financial payment terminal mode intelligent switching system, the primary enhancement component, the secondary enhancement component and the final enhancement component are used to perform Gaussian high-pass filtering, salt and pepper interference filtering and morphological processing of expansion followed by corrosion on the image data received respectively, including: the secondary enhancement component uses a median filtering algorithm with a dynamic filtering window to perform salt and pepper interference filtering on the received image data.

[0014] The present invention has at least the following three outstanding essential features: Firstly: obtaining respective curvature values ​​corresponding to respective evenly spaced locations on the edge curve of each image region in the step-by-step enhanced image as respective first-type curvature values, obtaining respective curvature values ​​corresponding to respective evenly spaced locations on the edge curve of the reference body shape pattern corresponding to the human body object as respective second-type curvature values, wherein the number of the respective second-type curvature values ​​is equal to the number of the respective first-type curvature values; Secondly: inputting each first type curvature value, each second type curvature value, the number of pixels occupied by the image area, and the number of pixels occupied by the reference body shape pattern corresponding to the human object into a deep neural network model at the same time, and executing the model to obtain an object existence identifier outputted by the model indicating whether there is a relatively close human object with a depth of field shallower than a set depth of field threshold in the step-by-step enhanced image, and executing mode switching of the financial payment terminal based on the object existence identifier, so that the financial payment terminal is awakened to enter the payment mode only when there is a relatively close human object in front of the financial payment terminal, thereby effectively reducing the power consumption of the financial payment terminal; Again: the front-end scene image obtained by performing the image data acquisition action on the front-end scene of the financial payment terminal is subjected to customized enhancement processing such as Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion in sequence, so as to obtain and output a step-by-step enhanced image with better image quality.

[0015] The intelligent mode switching system of a financial payment terminal of the present invention can solve the technical problems in the prior art that the financial payment terminal is always in the financial payment behavior mode, resulting in waste of power consumption and low intelligence level. It can intelligently analyze whether there is an object existence mark of a close human object with a depth of field shallower than a set depth of field threshold based on various targeted screened visual data, and execute mode switching of the financial payment terminal based on the object existence mark, so that the financial payment terminal is awakened to enter the payment mode only when there is a close human object at the front end of the financial payment terminal, thereby effectively reducing the power consumption of the financial payment terminal.

[0016] While the present invention has been particularly illustrated and described with reference to exemplary embodiments, it will be understood by those skilled in the art that various changes in form and details may be made without departing from the spirit and scope of the invention as defined by the claims.

Claims

1. A financial payment terminal mode intelligent switching system, characterized in that: The system comprises: A mode switching device is provided in the financial payment terminal, and is used to control the financial payment terminal to enter a sleep mode from a payment mode when a first switching instruction is received, and is also used to control the financial payment terminal to enter a payment mode from a sleep mode when a second switching instruction is received; A front-end acquisition device is provided at the front end of the financial payment terminal and is used to perform image data acquisition actions facing the front-end scene of the financial payment terminal to obtain and output a corresponding front-end scene image; A step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, and is used to sequentially perform Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion on the received front-end scene image to obtain and output a corresponding step-by-step enhancement image; A region analysis device, connected to the step-by-step enhancement device, for receiving the step-by-step enhancement image, and obtaining respective curvature values ​​corresponding to respective locations evenly spaced on the edge curve of each image region in the step-by-step enhancement image as respective first-type curvature values; A pattern detection device, used for obtaining respective curvature values ​​corresponding to respective locations evenly spaced on an edge curve of a reference body shape pattern corresponding to a human object as respective second-type curvature values, wherein the number of the respective second-type curvature values ​​is equal to the number of the respective first-type curvature values; a numerical comparison device, connected to the mode switching device, the region analysis device and the pattern detection device, respectively, for simultaneously inputting a set depth of field threshold, each first type of curvature value, each second type of curvature value, the number of pixels occupied by the image area and the number of pixels occupied by the reference body shape pattern corresponding to the human object into a deep neural network model and executing the model to obtain an object existence flag outputted by the model indicating whether there is a closer human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, wherein the deep neural network model is a deep neural network after completing a preset number of multiple learnings; In which, the numerical comparison device is also used to send the second switching instruction to the mode switching device when the object existence mark indicates that there is a close human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image, and to send the first switching instruction to the mode switching device when the object existence mark indicates that there is no close human object with a depth of field shallower than the set depth of field threshold in the step-by-step enhanced image.

2. The financial payment terminal mode intelligent switching system according to claim 1, characterized in that: The step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, and is used to sequentially perform Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion on the received front-end scene image to obtain and output the corresponding step-by-step enhanced image, including: the primary enhancement component, the secondary enhancement component and the final enhancement component are used to perform Gaussian high-pass filtering, salt and pepper interference filtering, and morphological processing of first dilation and then corrosion on the image data received respectively; Among them, the step-by-step enhancement device is arranged inside the financial payment terminal and connected to the front-end acquisition device, including a primary enhancement component, a secondary enhancement component and a final enhancement component, which is used to perform Gaussian high-pass filtering, salt and pepper interference filtering and morphological processing of first dilation and then corrosion on the received front-end scene image in sequence to obtain and output the corresponding step-by-step enhanced image. It also includes: the primary enhancement component, the secondary enhancement component and the final enhancement component are connected in sequence.

3. The financial payment terminal mode intelligent switching system according to claim 2, characterized in that: The system further comprises: The SOC control chip is connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component respectively, and is used to provide configuration operations of working parameters for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner; Among them, the SOC control chip is connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component respectively, and is used to provide the configuration operation of working parameters for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in time-sharing, including: the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component share the same working parameter configuration interface.

4. The financial payment terminal mode intelligent switching system as claimed in claim 3, characterized in that: The area analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component use different configuration address data.

5. The financial payment terminal mode intelligent switching system according to claim 3, characterized in that: Establishing parallel connections of communication data links between the regional analysis device, the primary enhancement component, the secondary enhancement component, and the final enhancement component through a parallel data bus; Among them, the parallel connection of the communication data link established between each of the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component through a parallel data bus includes: the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

6. The intelligent switching system for financial payment terminal modes as claimed in claim 2, characterized in that: The system further comprises: The power support device is connected to the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component respectively, and is used to provide power distribution support of different working voltages for the regional analysis device, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner; Among them, the power support device is respectively connected to the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support with different working voltages for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner, including: among the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component, two or more devices with the same working voltage requirements use the same power supply line.

7. The financial payment terminal mode intelligent switching system according to claim 6, characterized in that: The power support device is respectively connected to the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support with different working voltages for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner, and also includes: the power support device is an uninterruptible power supply device.

8. The intelligent switching system for financial payment terminal modes according to claim 7, characterized in that: The power support device is respectively connected to the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support with different working voltages for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner, and also includes: providing different working voltages including a 3.3V working voltage for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner.

9. The intelligent switching system for financial payment terminal modes according to claim 8, characterized in that: The power support device is respectively connected to the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component, and is used to provide power distribution support with different working voltages for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner, and also includes: providing different working voltages including a 5V working voltage for the regional analysis equipment, the primary enhancement component, the secondary enhancement component and the final enhancement component in a time-sharing manner.