Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Face recognition system and method

A face recognition system and face image technology, applied in the field of video surveillance, can solve the problems of inhumanization and convenience

Active Publication Date: 2016-04-13
SHENZHEN SENSETIME TECH CO LTD
View PDF6 Cites 78 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional industries will use VIP cards and other forms to distinguish customers, but carrying cards, reporting card numbers and other methods are not user-friendly and convenient

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
  • Face recognition system and method
  • Face recognition system and method
  • Face recognition system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In a basic embodiment, a face recognition system is provided. The system at least includes: a data input module, a face analysis module, and a data output module;

[0021] The data input module is used to transmit the image sequence to be detected to the face analysis module;

[0022] The data output module includes an image output unit and / or a message subscription unit;

[0023] The image output unit is used to identify the face obtained in the face analysis module, and superimpose information related to the face on the original video;

[0024] The message subscription unit is used to send event messages to terminal subscribers;

[0025] Wherein, the face analysis module is used to detect, analyze and recognize the face in the image sequence to be detected, and at least includes the following units:

[0026] U100, face detection and tracking unit: for the received image, detect the face in the tracking image, and perform quality judgment, select several frames that meet the requ...

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 face recognition system and method. The system at least comprises a data input module, a face analysis module and a data output module; the data input module provides an image sequence to be detected for the face analysis module; with the help of a deep learning technology, the face analysis module performs face recognition, obtains similar faces through a KD tree, performs parallel retrieval, comparison and analysis based on a plurality of sub-databases, and combines analysis results; and the data output module overlaps a face detection frame, face relevant statistical information and original videos and outputs to the front end to display. The invention further provides a method for realizing the system. The system disclosed by the invention has the characteristics of being automatic, rapid and precise while recognizing faces.

Description

Technical field [0001] The present disclosure relates to the field of video surveillance, and in particular to a face recognition system and method. Background technique [0002] At present, in order to attract and maintain more valuable and potential VIP customers, many industries are paying more and more attention to providing VIP customers with better quality and targeted services. Traditional industries use VIP cards and other forms to distinguish customers, but carrying cards and reporting card numbers are not user-friendly and convenient. The face recognition technology is a technology for identification based on the feature information of the face, and it has the advantages of non-contact, concurrency, non-mandatory, and intuitive. Summary of the invention [0003] In response to some of the above-mentioned problems, the present disclosure provides a face recognition system and method. The system uses deep learning technology to perform face recognition and provides a comp...

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): G06K9/00G06F17/30
CPCG06F16/583G06F16/9535G06V40/161G06V40/168
Inventor 梁伯均李庆林张伟黄展鹏王晶苏哲昆许金涛张帅张广程
Owner SHENZHEN SENSETIME TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com