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Member recognition method and passenger flow volume analysis method

An identification method and member technology, which is applied in the field of customer flow analysis and member identification, can solve problems such as inability to analyze statistics, no combination of online and offline, and independent existence of member information, so as to improve satisfaction and reduce customer flow Analyzing Difficult Effects

Pending Publication Date: 2020-06-09
广东超悦科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are many purchase, sales and inventory software on the market, which have relatively complete functions for purchase, sales, inventory, basic information, member information, etc., but there is basically a problem, that is, the member information in the system exists independently, which is not very good. Combining online and offline, especially in terms of passenger flow analysis, it is not possible to combine the actual offline flow of people for analysis and statistics, and take corresponding measures to improve sales performance through the analyzed results

Method used

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  • Member recognition method and passenger flow volume analysis method
  • Member recognition method and passenger flow volume analysis method
  • Member recognition method and passenger flow volume analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] refer to Figure 1-3 , a member identification method mainly includes the following steps:

[0029] S1. Customer face collection

[0030] Use the face collection device for face collection, and use the cloud video option in the cloud system to operate, and configure the IP address of the face collection device;

[0031] S2. Bind the existing member information and face information in the customer file in the cloud system;

[0032] S3. Open the web display page of the cloud video in the cloud system. The face collection device collects the face information of customers entering the collection area and uploads it to the AI ​​face recognition server. The AI ​​face recognition server recognizes the face ID and The customer profile information in the system is matched and sorted. If the match is successful, the relevant member information will be displayed on the web display page. If the match fails, it will be displayed as a new customer on the web display page.

Embodiment 2

[0034] refer to figure 2 , a method for member identification, which is basically the same as in Embodiment 1. Furthermore, in step S3, if it is displayed as a new customer on the Web display page, double-click the customer record pop-up window of the cloud video Web display page to add a member and Bind face information. After the binding is successful, when the member enters the collection area again, the system will automatically perform data matching and display relevant information of the member.

Embodiment 3

[0036] refer to Figure 1-3 , a member identification method mainly includes the following steps:

[0037] S1. Customer face collection

[0038] Use the face collection device for face collection, and use the cloud video option in the cloud system to operate, and configure the IP address of the face collection device;

[0039] S2. Bind the existing member information and face information in the customer file in the cloud system;

[0040] S3. Open the web display page of the cloud video in the cloud system. The face collection device collects the face information of customers entering the collection area and uploads it to the AI ​​face recognition server. The AI ​​face recognition server recognizes the face ID and The customer profile information in the system is matched and sorted. If the match is successful, the member-related information will be displayed on the web display page. If the match fails, it will be displayed as a new customer on the web display page.

[0041] ...

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Abstract

The invention discloses a member recognition method, and a passenger flow volume analysis method. The member recognition method mainly comprises the following steps: S1, customer face collection: carrying out the face collection through face collection equipment, carrying out the operation through a cloud video option in a cloud system, and configuring the IP address of the face collection equipment; S2, binding the existing member information in the customer archives in the cloud system with the face information; the passenger flow volume analysis method mainly comprises the following steps:step 1, carrying out the member identification by using a member method; step 2, opening a Web display page of a cloud video in the cloud system, and performing data acquisition on face information of a client entering an acquisition area by face acquisition equipment; according to the methods, the problem of difficulty in analyzing the passenger flow volume of an enterprise is fully reduced, andthe system can immediately analyze and count the member information and display the member information on the corresponding function page at the first time when the member enters the store.

Description

technical field [0001] The invention relates to the technical field of customer flow identification and analysis, in particular to a member identification method and a customer flow analysis method. Background technique [0002] With the rapid development of my country's information industry, manual management methods have become inappropriate in information management and other applications that require a large number of transaction processing. It is imperative to use IT technology to improve service quality and management level. [0003] At present, there are many purchase, sales and inventory software on the market, which have relatively complete functions for purchase, sales, inventory, basic information, member information, etc., but there is basically a problem, that is, the member information in the system exists independently, which is not very good. Combining online and offline, especially in terms of passenger flow analysis, it is not possible to combine the actual...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/00
CPCG06Q30/0201G06V40/172
Inventor 赖敬云
Owner 广东超悦科技有限公司