CN210605753U - System for recognizing cigarette brand display condition of retail merchant - Google Patents
System for recognizing cigarette brand display condition of retail merchant Download PDFInfo
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- CN210605753U CN210605753U CN201922186499.0U CN201922186499U CN210605753U CN 210605753 U CN210605753 U CN 210605753U CN 201922186499 U CN201922186499 U CN 201922186499U CN 210605753 U CN210605753 U CN 210605753U
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Abstract
The utility model relates to a system for discernment retail trade company cigarette brand display condition, include: the cigarette packet information acquisition unit is used for acquiring specific information of a cigarette packet with a specific brand and transmitting the acquired information to the control system; the sale terminal is used for displaying and selling the cigarette packets to be identified; and the mobile terminal is used for acquiring the information of the sales terminal and transmitting the information to the control system through the signal output module. The technical scheme solves the problems that the display condition of the cigarette retail merchants is unknown or the data acquisition is difficult, reduces the labor intensity of manual investigation and statistics of the sales terminal, and improves the authenticity of the data.
Description
Technical Field
The utility model belongs to the technical field of cigarette retail management, especially indicate a system of discernment retail merchant cigarette brand display condition.
Background
When cigarette sales are developed, the counter (display) rate of the retail merchants to the cigarette brands needs to be mastered in time so as to know the execution condition of the sales plan. The method adopted at present is that cigarette salespeople pay attention to key brands and the new product loading (display) rate in a period according to the sale policy. Cigarette loading rate statistical data generally come from periodic orders of a sales system and personnel field statistics, and the problems of complex work and low efficiency exist. Cigarettes that are actually put on the counter and displayed for sale often deviate from the expected sales plan for some objective or subjective reason.
With the deep development of artificial intelligence, internet of things and other technologies, various industries have been revolutionized. In particular to a machine deep learning technology in the field of artificial neural networks, which utilizes a graphic image processing technology, can simulate the human eye recognition function and intelligently and autonomously judge things, and opens a convenient door for the retail cigarette display on a cabinet.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a system for discerning retail trade company cigarette brand display condition to solve prior art and can not really put the counter and display the cigarette of selling and take place skew problem with anticipated sales plan to the merchant.
The utility model discloses a realize through following technical scheme:
a system for identifying a retail merchant cigarette brand display, comprising:
the cigarette packet information acquisition unit is used for acquiring specific information of a cigarette packet with a specific brand and transmitting the acquired information to the control system;
the sale terminal is used for displaying and selling the cigarette packets to be identified;
and the mobile terminal is used for acquiring the information of the sales terminal and transmitting the information to the control system through the signal output module.
The cigarette packet information acquisition unit at least comprises a cigarette packet image acquisition unit and a cigarette packet image processing unit, and the cigarette packet image acquisition unit is in electric signal connection with the cigarette packet image processing unit;
the cigarette packet image processing unit is in electric signal connection with the control system.
The cigarette packet image acquisition unit comprises but is not limited to a photographing device.
The point-of-sale terminal includes, but is not limited to, a retail merchant counter or display case.
The mobile terminal comprises one of a mobile phone, an APP and a computer.
And further, the system also comprises a fixed data acquisition unit which is used for transmitting the acquired information of the sales terminal to the control system through the signal output module according to the set time.
Further, the fixed data acquisition unit comprises a fixed video camera, a still camera or a monitor.
The signal output module is a wireless signal output module.
The utility model has the advantages that:
the technical scheme solves the problems of unknown display condition or difficult data acquisition of cigarette retail merchants, reduces the labor intensity of manual investigation and statistics of the sales terminals (retail merchants), and improves the authenticity of data.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
fig. 2 is a schematic flow chart of another embodiment of the present invention.
Description of the reference numerals
The system comprises a cigarette packet image acquisition unit 1, a cigarette packet image processing unit 2, a control system 3, a mobile terminal 4, a sales terminal 5 and a fixed data acquisition unit 6.
Detailed Description
The technical solutions of the present invention are described in detail below by way of examples, which are only exemplary and can be used only for explaining and explaining the technical solutions of the present invention, but should not be construed as limiting the technical solutions of the present invention.
As shown in fig. 1, the present application provides a system for identifying a cigarette brand display situation of a retail merchant, comprising:
the cigarette packet information acquisition unit is used for generating cigarette packet variant pictures and manufacturing cigarette packet data sets of corresponding brands; the cigarette packet information acquisition unit at least comprises a cigarette packet image acquisition unit 1 and a cigarette packet image processing unit 2, wherein the cigarette packet image acquisition unit is in electric signal connection with the cigarette packet image processing unit; the cigarette packet image processing unit is connected with the control system 3 through electric signals. The cigarette packet image acquisition unit comprises but is not limited to a photographing device or a video recording device.
The cigarette packet variant picture includes, but is not limited to, cigarette packet inversion, tilting, zooming, brightness, and blurring. The method comprises the steps of respectively obtaining pictures at different positions and in different directions according to inversion, inclination, scaling, brightness and fuzziness for cigarette packets of the same brand, processing the pictures through an image processing unit to form a data set of the cigarette packet of the brand, and associating the data set of the cigarette packet of the brand with cigarette brands and the like.
Training and learning the cigarette packet characteristics according to the corresponding brand cigarette packet data set and the labeling information by using a machine deep learning technology, establishing a cigarette packet appearance detection model, and storing the model in a control system; the machine concentration learning technique records the cigarette packet appearance characteristics by using a graphic image processing technique.
In the technical scheme, the appearance characteristic of the cigarette packet is determined by using an image contour characteristic, an image edge characteristic or a cigarette packet texture distribution rule.
The image contour features are extracted through a chain code algorithm; the image edge features are calculated in a radial basis function mode; the tobacco bale texture distribution rule is judged by using a gray level co-occurrence matrix algorithm. The chain code algorithm, the radial basis function and the gray level co-occurrence matrix algorithm are conventional calculation methods, and are not illustrated and described herein.
The cigarette packet appearance detection model is established based on Object Detector API training of TensorFlow.
Acquiring the picture information and the information of a cigarette packet at a sale terminal by using a mobile terminal, and determining the brand display information of the cigarette packet through a cigarette packet appearance detection model; and judging the cigarette brand display information by verifying the information of the sales terminal and the determined cigarette package brand display information.
Specifically, the mobile terminal 4 equipment with the internet of things technology is used for acquiring the tobacco bale placement information and the merchant information of the sales terminal 5 or the front desk of the retail merchant, and the field data acquisition and return are realized through the cellular mobile communication technology, the position positioning technology and the panoramic and local shooting technology and are transmitted to the control system.
And distance matching is carried out between the calibrated electronic map position of the retail merchant and the positioning position of the mobile terminal in the control system, so as to obtain merchant information.
Issuing RESTful service, and calling a detection model to determine cigarette packet brand display information after transmitting background system cigarette packet picture information by a mobile terminal; verifying the information of the commercial tenant through a calibration map and a positioning technology; and determining the cigarette brand display information of the merchant through the detection model and the verified merchant information.
The system of the method for identifying the cigarette brand display condition of the retail merchant comprises the following steps:
the sale terminal 5 is used for displaying and selling the cigarette packets to be identified; the point-of-sale terminal includes, but is not limited to, a retail merchant counter or display case.
And the mobile terminal 4 is used for acquiring the information of the sales terminal and transmitting the information to the control system through the signal output module. The mobile terminal comprises one of a mobile phone, an APP and a computer. The signal output module is a wireless signal output module.
As shown in fig. 2, the technical solution of another embodiment of the present application is distinguished in that the mobile terminal is replaced with the fixed data acquisition unit 6, and the rest parts are the same, and are used for transmitting the acquired information of the sales terminal to the control system through the signal output module according to the set time. The stationary data acquisition unit comprises a stationary video camera, a still camera or a monitor.
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. A system for identifying a retail merchant cigarette brand display condition, comprising:
the cigarette packet information acquisition unit is used for acquiring specific information of a cigarette packet with a specific brand and transmitting the acquired information to the control system;
the sale terminal is used for displaying and selling the cigarette packets to be identified;
and the mobile terminal is used for acquiring the information of the sales terminal and transmitting the information to the control system through the signal output module.
2. The system for identifying the display condition of the cigarette brands of the retail merchants according to claim 1, wherein the cigarette packet information acquisition unit at least comprises a cigarette packet image acquisition unit and a cigarette packet image processing unit, and the cigarette packet image acquisition unit is in electric signal connection with the cigarette packet image processing unit;
the cigarette packet image processing unit is in electric signal connection with the control system.
3. The system for identifying cigarette brand display conditions at retail merchants according to claim 2, wherein the cigarette packet image acquisition unit comprises but is not limited to a photographing device.
4. The system for identifying retail merchant cigarette brand display cases of claim 1, wherein said point of sale terminal includes, but is not limited to, a retail merchant counter or display case.
5. The system for identifying cigarette brand display conditions of retail merchants according to claim 1, wherein the mobile terminal comprises one of a mobile phone, an APP and a computer.
6. The system for identifying the cigarette brand display condition of the retail merchants according to claim 1, further comprising a fixed data acquisition unit for transmitting the acquired information of the sales terminals to the control system through the signal output module according to a set time.
7. The system for identifying a retail merchant cigarette brand display condition of claim 6, wherein the fixed data acquisition unit includes a fixed video camera, a still camera or a monitor.
8. The system for identifying cigarette brand display conditions at retail merchants according to claim 1, wherein the signal output module is a wireless signal output module.
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CN201922186499.0U CN210605753U (en) | 2019-12-09 | 2019-12-09 | System for recognizing cigarette brand display condition of retail merchant |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN115601631A (en) * | 2022-12-15 | 2023-01-13 | 深圳爱莫科技有限公司(Cn) | Cigarette display image recognition method, model, equipment and storage medium |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN115601631A (en) * | 2022-12-15 | 2023-01-13 | 深圳爱莫科技有限公司(Cn) | Cigarette display image recognition method, model, equipment and storage medium |
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