Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Service method based on face recognition and database

A service method, face recognition technology

Pending Publication Date: 2020-06-12
SHANGHAI UNIV
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the defects in the prior art, the purpose of the present invention is to provide a service method based on face recognition and database, which can intelligently record customer information data, solve the problem of heavy manual workload and service quality caused by waiter replacement The problem of decline, and for customers, they can also experience personalized services, thus greatly improving the customer's consumption experience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Service method based on face recognition and database
  • Service method based on face recognition and database
  • Service method based on face recognition and database

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] see Figure 1-Figure 5 , a service method based on face recognition and database. The service system adopted includes four modules: face collection system, local server, cloud database and intelligent terminal; wherein, the cloud database communicates with the local server, and the local server communicates with the human The face collection system and the smart terminal communicate with each other, and the operation steps of the service method are as follows:

[0036] 1) The face collection system includes collecting face information, and sending the information to a local server; executing the instructions of the local server;

[0037] 2) The local server includes receiving the information, performing face recognition algorithm processing on the information, returning the feature vector, and sending the feature vector to the cloud database for retrieval; responding to the intelligent terminal's request for retrieval and update of the cloud database, and uploading To ...

Embodiment 2

[0040] This embodiment is basically the same as Embodiment 1, especially in that:

[0041] In this embodiment, the face collection system in the step 1) adopts a multi-point collection method: wherein, there are one or more face information collection devices, and the distribution positions are not limited, depending on the actual situation; this method It can collect face information in all directions and from multiple angles, so that the entire environment is under a three-dimensional layout, which not only avoids the failure to collect object information in the blind corner of the field of vision, but also improves the accuracy of collection more precisely.

[0042] In the step 2), the local server is used to process the face data. The intelligent terminal in the step 2) includes a mobile communication terminal and a non-mobile communication terminal; the mobile communication terminal includes a customer's mobile phone and a service personnel's hand-held Pad; and the non-mo...

Embodiment 3

[0047] This embodiment is basically the same as the previous embodiment, and the special features are:

[0048] This embodiment is used to clarify how to use the method of the present invention to obtain customer data, so as to provide customers with better services. In this embodiment, the face acquisition system is composed of a multi-point camera, a face detection algorithm, a living body detection algorithm and a stereoscopic image processing technology. Such as image 3 , Camera 1 The camera located at the door of the store will first detect the face of the customer. When a face is detected, it will detect the presence of the customer. If it is not alive, it means that someone deliberately attacked the face detection system. You can Carry out a background alarm; if it is a living body, collect the customer's face information. Face tracking and feature extraction 2: Submit the collected face data to the local server for information processing. Information processing can ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a service method based on face recognition and a database. An adopted service system comprises a face acquisition system, a local server, a cloud database and an intelligent terminal. The service method comprises the following steps: acquiring face information by a face acquisition system, sending the face information to a local server for processing, uploading a processing result to a cloud database for matching, and downloading a matching result to an intelligent terminal to finish information retrieval; after the customer performs consumption and checks out successfully, the intelligent terminal can automatically upload user consumption information to complete updating of the database; and when the customer enters the store for consumption next time, targeted services are provided for different types of customers according to the existing information of the customer in the database, so that the customer consumption experience is greatly improved. According to the invention, resource sharing can be carried out among a plurality of merchant servers, and a good service state can be maintained under the condition that service personnel are replaced. The problems that manual information recording wastes time and labor and is low in efficiency are solved.

Description

technical field [0001] The invention relates to the field of customer management, in particular to a service method based on face recognition and database. Background technique [0002] In the service industry, customer information and data are very important to merchants, and service providers rely heavily on these customer data to provide customers with better services, and at the same time carry out relevant renovations, upgrades or transformations of stores. [0003] At present, merchants' management of customer information and data is still at the stage of manual recording and statistics, which will inevitably lead to waste of resources to a certain extent, and bring time and cost losses to managers. By using face recognition technology, the customer's consumption information, consumption preferences and other data are linked with face information, and when the customer's face is recognized, the customer's historical consumption information is automatically exported and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/10G06K9/00G06F16/21G06F16/2457G06F16/9535
CPCG06Q50/10G06F16/21G06F16/2457G06F16/9535G06V40/161G06V40/10G06V40/45
Inventor 陈次恩钱智坤王鹏辉王娟臧晶晶
Owner SHANGHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products