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Store customer data processing method and system based on face recognition

A customer data and face recognition technology, applied in the field of store customer data processing based on face recognition, can solve the problems of acquiring customers, bad customer experience, waste of resources, etc., to save time and cost, improve management, and improve service quality Effect

Inactive Publication Date: 2019-03-19
广东阅云科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the improvement of living standards, people's requirements for various services have also increased. For example, when buying clothes, a store has a lot of traffic, and there are also a lot of people who buy clothes, and the sales staff in the store are also mobile. , so it is difficult for the salesperson to identify which customers have purchased clothes in the store. If the salesperson recommends the clothes that have already been purchased to the customer, it will cause a waste of resources. A good experience will make customers stop caring, so it is urgent to improve the service quality of sales staff in the store, but there is no way in the existing technology to easily obtain information about whether the customer is a new customer or an old customer

Method used

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  • Store customer data processing method and system based on face recognition
  • Store customer data processing method and system based on face recognition
  • Store customer data processing method and system based on face recognition

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Experimental program
Comparison scheme
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Embodiment 1

[0060] Such as figure 1 Shown, provide a kind of store customer data processing method based on facial recognition of an embodiment of the present invention, comprise the steps:

[0061] S101 obtains the face image of the customer who visits the store, and records the time when the customer visits the store;

[0062] S102 acquires the age and gender of the customer according to the face image;

[0063] Such as figure 2 As shown, obtaining the age and gender of the customer based on the face image refers to:

[0064] S1021 adopts RGB3 passway and normalization to process the face image to obtain the processed face image;

[0065] S1022 inputs the processed face image to the CNN feature extraction network composed of multi-layer convolution layers, adopts random initial weights to extract age feature data and gender feature data of the recognition object respectively, and the recognition object is the face in the face image;

[0066] The CNN feature extraction network inclu...

Embodiment 2

[0086] Such as Figure 4 As shown, the present invention that provides another embodiment of the present invention provides a kind of store customer data processing system based on facial recognition, comprising:

[0087] Camera module A401, used to obtain face images of customers who visit the store;

[0088] Time recording module A402, used to record the time when customers visit the store;

[0089] The facial image recognition module A403 obtains the age and gender of the customer according to the facial image;

example 1

[0090] Statistical module A404, according to face images or time statistics preset passenger flow within a period of time, passenger flow is the number of face images of multiple customers within this period or the number of visits to the store; according to the passenger flow during this period The proportion of male and female customers visiting the store based on the volume and gender statistics of customers; the proportion of customers of each age group preset according to the customer flow and customer age statistics during this period of time;

[0091] The data transmission module A405 is used to send the passenger flow in a preset period of time, the ratio of men to women of customers and the ratio of customers of each age group preset to the database;

[0092] The database A406 is used to store the passenger flow in a preset period of time, the male to female ratio of customers and the preset ratio of customers in each age group so that authorized people can view it.

...

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Abstract

The invention provides a store client data processing method and system based on face recognition, and the method comprises the following steps: obtaining a face image of a client accessing a store, and recording the time of the client accessing the store; obtaining the age and gender of the client according to the face image; counting passenger flow within a preset period of time according to theface image or the time; counting male and female proportions of clients accessing the store according to the passenger flow volume in the period and the gender of the clients; counting a preset client proportion of each age group according to the passenger flow volume of the time period and the age of the client; and storing the passenger flow volume, the male-female proportion and the client proportion in a database in the period of time. According to the method, the face image and time of the client when the store is accessed are acquired, and the age and gender of the client are acquired according to the face image, so that statistics of the passenger flow volume, the client gender condition and the age condition within a period of time is carried out, and effective marketing data is provided for a store owner to adjust the service for the client.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a method and system for processing store customer data based on face recognition. Background technique [0002] With the improvement of living standards, people's requirements for various services have also increased. For example, when buying clothes, a store has a lot of traffic, and there are also a lot of people who buy clothes, and the sales staff in the store are also mobile. , so it is difficult for the salesperson to identify which customers have purchased clothes in the store. If the salesperson recommends the clothes that have already been purchased to the customer, it will cause a waste of resources. A good experience makes customers stop caring, so it is urgent to improve the service quality of sales staff in stores, but there is no way in the prior art to easily obtain information about whether a customer is a new customer or an old customer. Contents of the i...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06K9/00G06K9/62G06F16/53G06F16/51
CPCG06Q30/0201G06V40/172G06V40/168G06F18/2414
Inventor 陈伟聪
Owner 广东阅云科技有限公司
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