CN111754214A - On-site money deduction method based on information analysis - Google Patents
On-site money deduction method based on information analysis Download PDFInfo
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- CN111754214A CN111754214A CN201910233543.0A CN201910233543A CN111754214A CN 111754214 A CN111754214 A CN 111754214A CN 201910233543 A CN201910233543 A CN 201910233543A CN 111754214 A CN111754214 A CN 111754214A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/12—Payment architectures specially adapted for electronic shopping systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention relates to an on-site money deduction method based on information analysis, which comprises the steps of using an on-site money deduction system based on information analysis to identify a user number based on a user body type, and executing search and on-site money deduction operation of commodity information placed in a shopping cart by a user in an APP server based on the identified number, so that the automation level of supermarket payment is improved.
Description
Technical Field
The invention relates to the field of electronic payment, in particular to a field deduction method based on information analysis.
Background
Electronic payment refers to the act of securely transmitting payment information between a consumer, a merchant and a financial institution to a bank or a corresponding processing institution via an information network by using secure electronic means to realize currency payment or fund transfer.
In the 90 s of the 20 th century, the internet rapidly became popular, gradually moved from universities, scientific research institutions to enterprises and families, and its functions also evolved from information sharing to a popular information dissemination means, and commercial trade activities gradually entered this kingdom. By using the internet, i.e., to reduce costs, and to create more business opportunities, e-commerce technology has evolved, making it the biggest hotspot for internet applications. In order to adapt to the market trend of electronic commerce, electronic payment is developed.
Disclosure of Invention
The invention has at least the following two important points:
(1) the user number identification is carried out based on the user body type, the search of the commodity information placed in the shopping cart by the user is executed in the APP server based on the identified number, and the on-site payment under the corresponding user account is executed when the user passes through the supermarket outlet based on the searched commodity information in the shopping cart, so that the automation level of supermarket payment is improved;
(2) the number of the noise types in the image to be processed is detected, and the processing strategy of the image to be processed is flexibly switched according to the number of the noise types in the image to be processed, so that the processing quality of the image to be processed is improved.
According to one aspect of the invention, an information analysis-based on-site deduction method is provided, the method comprises the steps of using an information analysis-based on-site deduction system, identifying a user number based on a user body type, and executing search and on-site deduction operation of commodity information placed into a shopping cart by a user in an APP server based on the identified number so as to improve the automation level of supermarket payment, wherein the information analysis-based on-site deduction system comprises: the data storage device is arranged in the mobile terminal and used for storing the body type patterns of the user of the mobile terminal in advance as patterns to be compared, and the mobile terminal is provided with a payment APP for registering information of each commodity placed in a supermarket shopping cart by the user in the supermarket under the operation of the user and uploading the information of each commodity to a remote APP server.
More specifically, in the field deduction system based on information analysis, the system further comprises: and the gun type camera is arranged at the exit of the supermarket and is used for executing camera shooting operation towards the exit of the supermarket so as to obtain and output a corresponding exit image of the supermarket.
More specifically, in the field deduction system based on information analysis, the system further comprises: the real-time sharpening device is connected with the gun type camera and is used for receiving the supermarket exit image and carrying out real-time sharpening on the supermarket exit image to obtain a real-time sharpened image; the quantity extraction device is used for receiving the real-time sharpened image, performing noise type analysis on the real-time sharpened image to determine the quantity of noise types in the real-time sharpened image and outputting the quantity as a reference quantity; the signal conversion equipment is connected with the quantity extraction equipment and used for receiving the reference quantity and sending out a first control signal when the reference quantity is greater than or equal to a preset quantity threshold value; the signal conversion equipment is further used for sending out a second control signal when the reference quantity is smaller than the preset quantity threshold; and the dynamic processing equipment is respectively connected with the signal conversion equipment and the real-time sharpening equipment and is used for executing self-adaptive filtering processing on the real-time sharpened image and then executing Lanczos interpolation processing when the first control signal is received so as to obtain and output a corresponding dynamic processing image.
The field deduction system based on information analysis is simple and convenient to operate, and labor cost is reduced. Because the user number is identified based on the user body type, the search and the on-site money deduction operation of the commodity information placed in the shopping cart by the user are executed in the APP server based on the identified number, and therefore the automation level of supermarket payment is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of a gun camera of an information analysis-based field deduction system according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The supermarket generally refers to a store which mainly manages fresh foods and miscellaneous goods, and mainly displays commodities in an open way, selects and queues for cash settlement by customers. A retail enterprise for self-service purchase and uniform cash register settlement of consumers. In china, a supermarket was introduced in 1978, when called a self-service mall.
The supermarket generally distributes food and daily necessities as the main parts and is characterized in that: (1) the thin goods are sold for a plurality of times, and the sales staff is basically arranged up and down to operate middle and low-grade commodities; (2) the commodity is packaged in small packages, and the weight, the specification and the price are marked; (3) a trolley or a goods basket is provided, and customers can select goods; (4) and settling payment after going out once.
At present, the shopping payment program of the supermarket still depends on the manual operation of cashiers, the use of too many cashiers adds the labor cost of supermarket management, especially in the peak shopping period of holidays, and therefore the shopping payment program of the supermarket needs to be modified electronically to reduce the labor cost of supermarket management as much as possible.
In order to overcome the defects, the invention provides an information analysis-based on-site money deduction method, which comprises the steps of using an information analysis-based on-site money deduction system, identifying a user number based on the user body type, and executing the searching and on-site money deduction operation of commodity information placed in a shopping cart by a user in an APP server based on the identified number, so that the automation level of supermarket payment is improved. The field deduction system based on information analysis can effectively solve corresponding technical problems.
Fig. 1 is a schematic structural diagram of a gun camera of an information analysis-based field deduction system according to an embodiment of the present invention.
The field deduction system based on information analysis, which is shown according to the embodiment of the invention, comprises:
the data storage device is arranged in the mobile terminal and used for storing the body type patterns of the user of the mobile terminal in advance as patterns to be compared, and the mobile terminal is provided with a payment APP for registering information of each commodity placed in a supermarket shopping cart by the user in the supermarket under the operation of the user and uploading the information of each commodity to a remote APP server.
Next, the detailed configuration of the information analysis-based field deduction system of the present invention will be further described.
In the field deduction system based on information analysis, the system further comprises:
and the gun type camera is arranged at the exit of the supermarket and is used for executing camera shooting operation towards the exit of the supermarket so as to obtain and output a corresponding exit image of the supermarket.
In the field deduction system based on information analysis, the system further comprises:
the real-time sharpening device is connected with the gun type camera and is used for receiving the supermarket exit image and carrying out real-time sharpening on the supermarket exit image to obtain a real-time sharpened image;
the quantity extraction device is used for receiving the real-time sharpened image, performing noise type analysis on the real-time sharpened image to determine the quantity of noise types in the real-time sharpened image and outputting the quantity as a reference quantity;
the signal conversion equipment is connected with the quantity extraction equipment and used for receiving the reference quantity and sending out a first control signal when the reference quantity is greater than or equal to a preset quantity threshold value;
the signal conversion equipment is further used for sending out a second control signal when the reference quantity is smaller than the preset quantity threshold;
the dynamic processing equipment is respectively connected with the signal conversion equipment and the real-time sharpening equipment and is used for executing self-adaptive filtering processing on the real-time sharpened image and then executing Lanczos interpolation processing when the first control signal is received so as to obtain and output a corresponding dynamic processing image;
the curve adjusting device is connected with the dynamic processing device and used for receiving the dynamic processing image and adjusting the maximum radian of the curve in the dynamic processing image to a preset maximum radian threshold value of the curve so as to obtain and output a corresponding curve adjusting image;
the body type extraction device is connected with the curve adjustment device and used for extracting each human body object from the curve adjustment image based on human body imaging characteristics and outputting an image area where the human body object with the largest occupied area is located as a reference object area;
the on-site money deduction device is connected with the body type extraction device and is used for searching the patterns to be compared, which are consistent with the shapes of the reference object areas, in a body type database to obtain user numbers corresponding to the searched patterns to be compared, acquiring information of various commodities, which are registered by corresponding users and placed in a supermarket shopping cart, in a supermarket based on the obtained user numbers, and executing money deduction actions of account numbers under the names of the obtained user numbers based on the information of the commodities;
the FLASH storage chip is connected with the field deduction equipment and is used for storing a body type database, and the body type database stores the patterns to be compared and the famous account numbers corresponding to the user numbers by taking the user numbers as indexes;
the on-site money deducting device establishes data connection with a remote APP server through a network so as to obtain information of each commodity which is registered by a corresponding user and placed in a supermarket shopping cart in the supermarket based on the obtained user number;
the FLASH memory chip is also connected with the curve adjusting equipment and is used for temporarily storing the curve adjusting image;
when the second control signal is received, the dynamic processing device is further configured to skip the adaptive filtering processing link to directly perform Lanczos interpolation processing on the real-time sharpened image so as to obtain and output a corresponding dynamic processing image;
the dynamic processing equipment comprises a microcontroller, Lanczos interpolation equipment and self-adaptive filtering equipment;
wherein, in the dynamic processing device, the microcontroller is respectively connected with the Lanczos interpolation device and the adaptive filtering device.
In the information analysis-based on-site deduction system:
the FLASH storage chip is also connected with the curve adjusting equipment and is used for storing the preset curve maximum radian threshold value.
In the field deduction system based on information analysis, the system further comprises:
and the brightness extraction device is connected with the gun type camera and is used for receiving the supermarket exit image, acquiring the overall brightness value of a pre-stored standard scene image, and sending a scene transfer signal when the difference between the overall brightness value of the supermarket exit image and the overall brightness value of the standard scene image exceeds a preset brightness difference threshold value, wherein the standard scene image is an image which is shot by the gun type camera in advance for a preset monitoring scene.
In the field deduction system based on information analysis, the system further comprises:
the characteristic value extraction device is connected with the brightness extraction device and used for entering a working state from a power saving state when the scene transition signal is received, and executing the following operations in the working state: the feature value extraction device is further configured to obtain each pixel value of each pixel point of the standard scene image, and perform a mean square error calculation operation on each pixel value of the standard scene image to obtain a scene mean square error value.
In the field deduction system based on information analysis, the system further comprises:
and the alarm triggering device is connected with the characteristic value extracting device and used for receiving the field mean square error value and the scene mean square error value and sending a transfer confirmation signal when the field mean square error value is not matched with the scene mean square error value.
In the field deduction system based on information analysis, the system further comprises:
the WIFI communication interface is respectively connected with the characteristic value extraction equipment and the alarm triggering equipment, and is used for forwarding the transfer confirmation signal to a monitoring server at the rear part when receiving the transfer confirmation signal, and simultaneously sending the supermarket exit image and the standard scene image to the monitoring server at the rear part together;
in a WIFI communication interface, forwarding the transfer confirmation signal to a monitoring server at the rear, and sending the supermarket exit image and the standard scene image together to the monitoring server at the rear includes: and packaging the transfer confirmation signal, the supermarket exit image and the standard scene image together, and sending the packaged data to a monitoring server behind.
In the information analysis-based on-site deduction system:
the brightness extraction device is further configured to send a scene invariant signal when a difference between the overall brightness value of the supermarket exit image and the overall brightness value of the standard scene image exceeds the preset brightness difference threshold;
and the alarm triggering equipment is also used for sending a transfer unconfirmed signal when the field mean square error value is matched with the scene mean square error value.
In addition, FLASH memory chips are nonvolatile memories, and blocks of memory cells called blocks can be erased and reprogrammed. The write operation of any FLASH device can only be performed in empty or erased cells, so in most cases, the erase must be performed before the write operation can be performed. While it is simple for a NAND device to perform an erase operation, NOR requires that all bits in the target block be written to 0 before an erase can be performed. Since erasing NOR devices is performed in blocks of 64-128 KB, the time for performing a write/erase operation is 5s, whereas erasing NAND devices is performed in blocks of 8-32 KB, which requires only 4ms at most to perform the same operation. The difference in block size when performing erasures further increases the performance gap between NOR and NADN, and statistics show that for a given set of write operations (especially when updating small files), more erase operations must be performed in NOR-based cells.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (9)
1. An information analysis-based on-site money deduction method comprises the steps of using an information analysis-based on-site money deduction system, carrying out user number identification based on user body types, and executing search and on-site money deduction operation of commodity information placed into a shopping cart by a user in an APP server based on the identified number so as to improve the automation level of supermarket payment, wherein the information analysis-based on-site money deduction system comprises the following steps:
the data storage device is arranged in the mobile terminal and used for storing the body type patterns of the user of the mobile terminal in advance as patterns to be compared, and the mobile terminal is provided with a payment APP for registering information of each commodity placed in a supermarket shopping cart by the user in the supermarket under the operation of the user and uploading the information of each commodity to a remote APP server.
2. The method of claim 1, wherein the system further comprises:
and the gun type camera is arranged at the exit of the supermarket and is used for executing camera shooting operation towards the exit of the supermarket so as to obtain and output a corresponding exit image of the supermarket.
3. The method of claim 2, wherein the system further comprises:
the real-time sharpening device is connected with the gun type camera and is used for receiving the supermarket exit image and carrying out real-time sharpening on the supermarket exit image to obtain a real-time sharpened image;
the quantity extraction device is used for receiving the real-time sharpened image, performing noise type analysis on the real-time sharpened image to determine the quantity of noise types in the real-time sharpened image and outputting the quantity as a reference quantity;
the signal conversion equipment is connected with the quantity extraction equipment and used for receiving the reference quantity and sending out a first control signal when the reference quantity is greater than or equal to a preset quantity threshold value;
the signal conversion equipment is further used for sending out a second control signal when the reference quantity is smaller than the preset quantity threshold;
the dynamic processing equipment is respectively connected with the signal conversion equipment and the real-time sharpening equipment and is used for executing self-adaptive filtering processing on the real-time sharpened image and then executing Lanczos interpolation processing when the first control signal is received so as to obtain and output a corresponding dynamic processing image;
the curve adjusting device is connected with the dynamic processing device and used for receiving the dynamic processing image and adjusting the maximum radian of the curve in the dynamic processing image to a preset maximum radian threshold value of the curve so as to obtain and output a corresponding curve adjusting image;
the body type extraction device is connected with the curve adjustment device and used for extracting each human body object from the curve adjustment image based on human body imaging characteristics and outputting an image area where the human body object with the largest occupied area is located as a reference object area;
the on-site money deduction device is connected with the body type extraction device and is used for searching the patterns to be compared, which are consistent with the shapes of the reference object areas, in a body type database to obtain user numbers corresponding to the searched patterns to be compared, acquiring information of various commodities, which are registered by corresponding users and placed in a supermarket shopping cart, in a supermarket based on the obtained user numbers, and executing money deduction actions of account numbers under the names of the obtained user numbers based on the information of the commodities;
the FLASH storage chip is connected with the field deduction equipment and is used for storing a body type database, and the body type database stores the patterns to be compared and the famous account numbers corresponding to the user numbers by taking the user numbers as indexes;
the on-site money deducting device establishes data connection with a remote APP server through a network so as to obtain information of each commodity which is registered by a corresponding user and placed in a supermarket shopping cart in the supermarket based on the obtained user number;
the FLASH memory chip is also connected with the curve adjusting equipment and is used for temporarily storing the curve adjusting image;
when the second control signal is received, the dynamic processing device is further configured to skip the adaptive filtering processing link to directly perform Lanczos interpolation processing on the real-time sharpened image so as to obtain and output a corresponding dynamic processing image;
the dynamic processing equipment comprises a microcontroller, Lanczos interpolation equipment and self-adaptive filtering equipment;
wherein, in the dynamic processing device, the microcontroller is respectively connected with the Lanczos interpolation device and the adaptive filtering device.
4. The method of claim 3, wherein:
the FLASH storage chip is also connected with the curve adjusting equipment and is used for storing the preset curve maximum radian threshold value.
5. The method of claim 4, wherein the system further comprises:
and the brightness extraction device is connected with the gun type camera and is used for receiving the supermarket exit image, acquiring the overall brightness value of a pre-stored standard scene image, and sending a scene transfer signal when the difference between the overall brightness value of the supermarket exit image and the overall brightness value of the standard scene image exceeds a preset brightness difference threshold value, wherein the standard scene image is an image which is shot by the gun type camera in advance for a preset monitoring scene.
6. The method of claim 5, wherein the system further comprises:
the characteristic value extraction device is connected with the brightness extraction device and used for entering a working state from a power saving state when the scene transition signal is received, and executing the following operations in the working state: the feature value extraction device is further configured to obtain each pixel value of each pixel point of the standard scene image, and perform a mean square error calculation operation on each pixel value of the standard scene image to obtain a scene mean square error value.
7. The method of claim 6, wherein the system further comprises:
and the alarm triggering device is connected with the characteristic value extracting device and used for receiving the field mean square error value and the scene mean square error value and sending a transfer confirmation signal when the field mean square error value is not matched with the scene mean square error value.
8. The method of claim 7, wherein the system further comprises:
the WIFI communication interface is respectively connected with the characteristic value extraction equipment and the alarm triggering equipment, and is used for forwarding the transfer confirmation signal to a monitoring server at the rear part when receiving the transfer confirmation signal, and simultaneously sending the supermarket exit image and the standard scene image to the monitoring server at the rear part together;
in a WIFI communication interface, forwarding the transfer confirmation signal to a monitoring server at the rear, and sending the supermarket exit image and the standard scene image together to the monitoring server at the rear includes: and packaging the transfer confirmation signal, the supermarket exit image and the standard scene image together, and sending the packaged data to a monitoring server behind.
9. The method of claim 8, wherein:
the brightness extraction device is further configured to send a scene invariant signal when a difference between the overall brightness value of the supermarket exit image and the overall brightness value of the standard scene image exceeds the preset brightness difference threshold;
and the alarm triggering equipment is also used for sending a transfer unconfirmed signal when the field mean square error value is matched with the scene mean square error value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910233543.0A CN111754214A (en) | 2019-03-26 | 2019-03-26 | On-site money deduction method based on information analysis |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910233543.0A CN111754214A (en) | 2019-03-26 | 2019-03-26 | On-site money deduction method based on information analysis |
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| CN111754214A true CN111754214A (en) | 2020-10-09 |
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| CN201910233543.0A Withdrawn CN111754214A (en) | 2019-03-26 | 2019-03-26 | On-site money deduction method based on information analysis |
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Application publication date: 20201009 |