CN114358870A - Chain store and store passenger flow volume acquisition and analysis system - Google Patents
Chain store and store passenger flow volume acquisition and analysis system Download PDFInfo
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- CN114358870A CN114358870A CN202111511414.7A CN202111511414A CN114358870A CN 114358870 A CN114358870 A CN 114358870A CN 202111511414 A CN202111511414 A CN 202111511414A CN 114358870 A CN114358870 A CN 114358870A
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Abstract
The invention discloses a system for acquiring and analyzing the passenger flow volume of chain store shops, belonging to the technical field of data processing, comprising an image acquisition unit, a processing unit and a statistical analysis unit, wherein the processing unit is connected with the image acquisition unit and the statistical analysis unit, and the image acquisition unit is used for acquiring the images of entrance and exit of a customer and the images of payment and settlement and extracting the characteristic information in the image information. The marketing strategy can be adjusted in real time according to the report.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a chain store passenger flow volume acquisition and analysis system.
Background
With the popularization of electronic commerce, physical retail stores are severely impacted, and particularly in terms of the operating efficiency of storefronts, real and effective passenger flow volume data are lacked to support operators to quickly and effectively make sales strategies, so that the store passenger flow volume statistical system is gradually adopted by more and more physical retail stores.
Most of existing statistical systems for store passenger flow are developed based on face recognition technology, and most of the existing statistical systems can only detect and collect passenger flow at entrances and exits and cannot calculate the conversion rate of stores, so that the passenger flow of the stores cannot be analyzed more accurately, and operators can make inaccurate sales strategies.
Disclosure of Invention
The invention aims to provide a chain store passenger flow volume acquisition and analysis system to solve the problems that the conversion rate of a store cannot be calculated, the passenger flow volume of the store cannot be more accurately analyzed and an operator can make an inaccurate sales strategy, which are provided by the background art.
In order to achieve the purpose, the invention provides the following technical scheme: the system comprises an image acquisition unit, a processing unit and a statistical analysis unit, wherein the processing unit is connected with the image acquisition unit and the statistical analysis unit, the image acquisition unit is used for acquiring an entrance and exit store image and a payment settlement image of a customer and extracting characteristic information in the image information, the processing unit is used for storing the characteristic information and the image information in the image acquisition unit and comparing the settlement image information with the entrance and exit store image information, and the statistical analysis unit is used for acquiring the entrance and exit store image information and the settlement information in the processing unit to obtain passenger flow and sales data and generate a report.
Preferably, the image acquisition unit comprises an access image acquisition module, a feature extraction module, a settlement image acquisition module and an image optimization module, the access image acquisition module is used for acquiring images of customers when the customers enter and exit shops, the settlement image acquisition module is used for acquiring images of the customers when the customers pay for commodity settlement, the feature extraction module is used for extracting feature information in the image information optimized by the image optimization module, and the image optimization module is used for optimizing the image information acquired by the access image acquisition module and the settlement image acquisition module.
Preferably, the feature extraction module identifies and extracts the face features of the customer by using a face detection algorithm, and extracts the clothing color features of the customer by using a color feature extraction method, and the method comprises the following steps:
step 1: extracting a foreground pixel area where the clothing is located in the clothing image by adopting an example segmentation model, and carrying out quantization processing on the color of the foreground image according to a color space to obtain the main color of the foreground image;
step 2: dividing the foreground image into a plurality of local blocks and calculating the main color of each local block: averaging the colors of the local blocks, comparing the obtained average value with each main color of the foreground image, and when the difference values are all larger than a set value, determining that the local blocks have no corresponding main color and recording the main color as a value 0; if the difference value is smaller than the set value, taking the main color with the minimum difference value as the main color of the local block;
and step 3: and (3) clustering the main colors in the step (2) by adopting a characteristic clustering method to obtain K clusters.
Preferably, the optimization method of the image optimization module is to perform partitioning according to an image contour or a color difference on an image; judging an image background according to a plurality of color difference contrast overlaps in the partitions; and separating the image background from other image contours, and adjusting the brightness value of the image background based on other image contours to obtain an optimized image.
Preferably, the processing unit comprises a settlement information acquisition module, a storage module, a comparison module and a goods inventory management module, wherein the settlement information acquisition module is used for acquiring commodity information and settlement information when a customer pays for a commodity through settlement, and the storage module is used for storing the image information and the characteristic information in the image acquisition unit and the commodity information and the settlement information in the settlement information acquisition module.
Preferably, the comparison module is configured to compare information characteristics of the customer settlement image acquired by the settlement image acquisition module with information characteristics of the store entrance image acquired by the store entrance image acquisition module to obtain a conversion rate, and the goods inventory management module is configured to manage store commodity inventory information.
Preferably, the statistical analysis unit includes a passenger flow data acquisition module, a sales data acquisition module and a report generation module, the passenger flow data acquisition module is configured to calculate image information of a customer entering a store stored in the storage module to obtain a store passenger flow volume, the sales data acquisition module is configured to acquire commodity information sold in the calculation information acquisition module to obtain a sales amount, and the report generation module is configured to generate a report according to data information in the passenger flow data acquisition module and the sales data acquisition module.
Preferably, the report generated by the report generation module includes a daily report, a monthly report, and an annual report, and the report generation module can generate a passenger flow report of the store time period and a sales report of each time period of the store according to the data of the passenger flow data acquisition module and the sales data acquisition module.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the information of the store entrance and exit image and the client settlement image is acquired and compared, so that the passenger flow conversion rate can be accurately obtained, a corresponding marketing strategy can be formulated according to the passenger flow conversion rate, meanwhile, an accurate report of the passenger flow and the sales can be obtained, the time from entrance to purchase of a client can be known, the products with emphasis on the customers and the hot sales products can be judged, a periodic or seasonal sales report can be obtained, and the marketing strategy can be adjusted in real time according to the report.
Drawings
FIG. 1 is a logic block diagram of the system of the present invention;
FIG. 2 is a logic block diagram of an image capture unit according to the present invention;
FIG. 3 is a logic block diagram of a processing unit according to the present invention;
FIG. 4 is a logic block diagram of a statistical analysis unit according to the present invention.
In the figure: 1. an image acquisition unit; 2. a processing unit; 3. a statistical analysis unit; 4. an in-out image acquisition module; 5. a feature extraction module; 6. a settlement image acquisition module; 7. an image optimization module; 8. a settlement information acquisition module; 9. a comparison module; 10. a storage module; 11. a goods inventory management module; 12. a passenger flow data acquisition module; 13. a report generation module; 14. sales data acquisition module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example (b):
referring to fig. 1-4, the present invention provides a technical solution: the system for acquiring and analyzing the passenger flow volume of the chain store comprises an image acquisition unit 1, a processing unit 2 and a statistical analysis unit 3, wherein the processing unit 2 is connected with the image acquisition unit 1 and the statistical analysis unit 3, the image acquisition unit 1 is used for acquiring an entrance and exit store image and a payment settlement image of a client and extracting feature information in image information, the processing unit 2 is used for storing the feature information and the image information in the image acquisition unit 1 and comparing the calculation image information with the entrance and exit store image information to accurately obtain the passenger flow conversion rate, so that a corresponding marketing strategy can be formulated according to the passenger flow conversion rate, meanwhile, accurate reports of passenger flow and sales can be obtained, the time from entrance to purchase of the client can be known, the side-weighted commodities and hot-sold commodities of the client can be judged, and a staged or seasonal sales report can be obtained, the marketing strategy can be adjusted in real time according to the report, and the statistical analysis unit 3 is used for acquiring the image information and settlement information of the entrance and exit shops in the processing unit 2 to obtain passenger flow and sales data and generating the report.
The image acquisition unit 1 comprises an access image acquisition module 4, a feature extraction module 5, a settlement image acquisition module 6 and an image optimization module 7, wherein the access image acquisition module 4 is used for acquiring images of customers when the customers enter and exit shops, the settlement image acquisition module 6 is used for acquiring images of the customers when the customers pay for commodity settlement, the feature extraction module 5 is used for extracting feature information in the image information optimized by the image optimization module 7, and the image optimization module 7 is used for optimizing the image information acquired by the access image acquisition module 4 and the settlement image acquisition module 6.
The feature extraction module 5 adopts a face detection algorithm to identify and extract the face features of the customer, and the feature extraction module 5 extracts the clothing color features of the customer by a color feature extraction method, and comprises the following steps:
step 1: extracting a foreground pixel area where the clothing is located in the clothing image by adopting an example segmentation model, and carrying out quantization processing on the color of the foreground image according to a color space to obtain the main color of the foreground image;
step 2: dividing the foreground image into a plurality of local blocks and calculating the main color of each local block: averaging the colors of the local blocks, comparing the obtained average value with each main color of the foreground image, and when the difference values are all larger than a set value, determining that the local blocks have no corresponding main color and recording the main color as a value 0; if the difference value is smaller than the set value, taking the main color with the minimum difference value as the main color of the local block;
and step 3: and (3) clustering the main colors in the step (2) by adopting a characteristic clustering method to obtain K clusters.
The optimization method of the image optimization module 7 is to perform partitioning according to the image contour or color difference on the image; judging an image background according to a plurality of color difference contrast overlaps in the partitions; and separating the image background from other image contours, and adjusting the brightness value of the image background based on other image contours to obtain an optimized image.
The processing unit 2 comprises a settlement information acquisition module 8, a storage module 10, a comparison module 9 and a goods inventory management module 11, wherein the settlement information acquisition module 8 is used for acquiring commodity information and settlement information when a customer pays for a commodity settlement, and the storage module 10 is used for storing the image information and the characteristic information in the image acquisition unit 1 and the commodity information and the settlement information in the settlement information acquisition module 8.
The comparison module 9 is configured to compare information characteristics in the customer settlement image acquired by the settlement image acquisition module 6 with information characteristics of the store entrance image acquired by the entrance and exit image acquisition module 4 to obtain a conversion rate, and the goods inventory management module 11 is configured to manage store commodity inventory information.
The statistical analysis unit 3 comprises a passenger flow data acquisition module 12, a sales data acquisition module 14 and a report generation module 13, wherein the passenger flow data acquisition module 12 is used for calculating image information of a customer entering a store stored in the storage module 10 to obtain a store passenger flow volume, the sales data acquisition module 14 is used for acquiring commodity information sold in the settlement information acquisition module 8 to obtain a sales amount, and the report generation module 13 is used for generating a report according to the data information in the passenger flow data acquisition module 12 and the sales data acquisition module 14.
The report generated by the report generating module 13 includes a daily report, a monthly report, and an annual report, and the report generating module 13 can generate a passenger flow report of each time slot of the store and a sales report of each time slot of the store according to the data of the passenger flow data collecting module 12 and the sales data collecting module 14.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. Chain store passenger flow volume gathers analytic system, including image acquisition unit (1), processing unit (2) and statistical analysis unit (3), its characterized in that: the processing unit (2) is connected with the image acquisition unit (1) and the statistical analysis unit (3), the image acquisition unit (1) is used for acquiring customer in-out store images and payment settlement images and extracting feature information in the image information, the processing unit (2) is used for storing the feature information and the image information in the image acquisition unit (1) and comparing the settlement image information with the in-out store image information, and the statistical analysis unit (3) is used for acquiring the in-out store image information and the settlement information in the processing unit (2) to obtain customer flow and sales data and generate reports.
2. The chain store traffic collection and analysis system of claim 1, wherein: the system is characterized in that the image acquisition unit (1) comprises an access image acquisition module (4), a feature extraction module (5), a settlement image acquisition module (6) and an image optimization module (7), the access image acquisition module (4) is used for acquiring images of clients entering and leaving stores, the settlement image acquisition module (6) is used for acquiring images of the clients during settlement payment of commodities, the feature extraction module (5) is used for extracting feature information in image information optimized by the image optimization module (7), and the image optimization module (7) is used for optimizing the image information acquired by the access image acquisition module (4) and the settlement image acquisition module (6).
3. The chain store traffic collection and analysis system of claim 2, wherein: the characteristic extraction module (5) adopts a face detection algorithm to identify and extract the face characteristics of the customer, and the characteristic extraction module (5) extracts the clothing color characteristics of the customer by a color characteristic extraction method, and comprises the following steps:
step 1: extracting a foreground pixel area where the clothing is located in the clothing image by adopting an example segmentation model, and carrying out quantization processing on the color of the foreground image according to a color space to obtain the main color of the foreground image;
step 2: dividing the foreground image into a plurality of local blocks and calculating the main color of each local block: averaging the colors of the local blocks, comparing the obtained average value with each main color of the foreground image, and when the difference values are all larger than a set value, determining that the local blocks have no corresponding main color and recording the main color as a value 0; if the difference value is smaller than the set value, taking the main color with the minimum difference value as the main color of the local block;
and step 3: and (3) clustering the main colors in the step (2) by adopting a characteristic clustering method to obtain K clusters.
4. The chain store traffic collection and analysis system of claim 2, wherein: the optimization method of the image optimization module (7) is to perform partition according to the image contour or color difference on the image; judging an image background according to a plurality of color difference contrast overlaps in the partitions; and separating the image background from other image contours, and adjusting the brightness value of the image background based on other image contours to obtain an optimized image.
5. The chain store traffic collection and analysis system of claim 1, wherein: the processing unit (2) comprises a settlement information acquisition module (8), a storage module (10), a comparison module (9) and a goods inventory management module (11), wherein the settlement information acquisition module (8) is used for acquiring commodity information and settlement information when a customer pays for a commodity through settlement, and the storage module (10) is used for storing the image information and the characteristic information in the image acquisition unit (1) and the commodity information and the settlement information in the settlement information acquisition module (8).
6. The chain store traffic collection and analysis system of claim 5, wherein: the comparison module (9) is used for comparing the information characteristics in the customer settlement image acquired by the settlement image acquisition module (6) with the information characteristics of the image of the entrance store acquired by the entrance image acquisition module (4) to obtain the conversion rate, and the goods inventory management module (11) is used for managing the inventory information of the commodities of the entrance store.
7. The chain store traffic collection and analysis system of claim 5, wherein: the statistical analysis unit (3) comprises a passenger flow data acquisition module (12), a sales data acquisition module (14) and a report generation module (13), wherein the passenger flow data acquisition module (12) is used for calculating image information of a customer entering a store, which is stored in the storage module (10), to obtain store passenger flow, the sales data acquisition module (14) is used for acquiring commodity information sold in the settlement information acquisition module (8) to obtain sales, and the report generation module (13) is used for generating a report according to the data information in the passenger flow data acquisition module (12) and the sales data acquisition module (14).
8. The chain store traffic collection and analysis system of claim 7, wherein: the report generated by the report generating module (13) comprises a daily report, a monthly report and an annual report, and meanwhile, the report generating module (13) can generate a passenger flow report of each time period of the store and a sales report of each time period of the store according to the data of the passenger flow data acquisition module (12) and the sales data acquisition module (14).
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116308465A (en) * | 2023-05-15 | 2023-06-23 | 深圳易派支付科技有限公司 | Big data analysis system based on mobile payment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116308465A (en) * | 2023-05-15 | 2023-06-23 | 深圳易派支付科技有限公司 | Big data analysis system based on mobile payment |
| CN116308465B (en) * | 2023-05-15 | 2023-09-01 | 深圳易派支付科技有限公司 | Big data analysis system based on mobile payment |
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