Face recognition system and method

A face recognition system, face recognition technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problem of slow recognition speed of face recognition system, improve recognition accuracy and real-time performance, generalization Strong ability and good robustness

Inactive Publication Date: 2020-08-25
湖南视觉伟业智能科技有限公司
View PDF8 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a face recognition system and method to solve the technical problem of slow recognition speed of the existing face recognition system

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 1

[0036] Such as figure 1As shown, the present invention discloses a face recognition system, comprising: a face acquisition module, a face feature extraction module, a face recognition module and a face index module; A face image, and the face image is input into the face feature extraction module; the face feature extraction module is used to extract the face feature data of the person to be identified from the face image, and the The face feature data of the person to be identified is input to the face recognition module; the face recognition module is used to combine the face feature data of the person to be identified with the known identity samples stored in the face index module The data is matched by similarity, and the identity of the person to be identified is determined according to the result of the similarity matching; the face feature extraction module is based on a lightweight neural network, and the GDConv Block (GlobalDepthwise Convolution Block, global depth vo...

Embodiment 2

[0043] Embodiment 2 is a preferred embodiment of Embodiment 1. It differs from Embodiment 1 in that the structure and functions of the face recognition system are expanded, and the steps of the face recognition method are refined:

[0044] In this example, if figure 2 As shown, a face recognition system is disclosed, including:

[0045] A video acquisition module, which collects the video sequence of the identified person through the camera, and inputs the video sequence into the face detection module;

[0046] A face detection module, the face detection module runs in the ARM, directly detects the face from the video sequence, that is, detects the face image of the person to be identified from the video sequence, and inputs the face image The human face feature extraction module;

[0047] The face feature extraction module extracts the face feature data of the person to be identified from the face image, and inputs the face feature data of the person to be identified to th...

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 discloses a face recognition system and method. The face recognition system comprises a face acquisition module, a face feature extraction module, a face recognition module and a face index module. The face acquisition module is used for acquiring a face image of a person to be recognized; the face feature extraction module is used for extracting face feature data of a person to be recognized from the face image; the face recognition module is used for carrying out similarity matching on the face feature data of the person to be recognized and the sample data of the known identity stored in the face index module; the face feature extraction is used for replacing a deep neural network formed by a global average pooling layer of the lightweight neural network with the GDConv Block based on a lightweight neural network; the neural network is deeper, stronger in generalization ability and better in robustness, the face feature data of the person to be recognized can be rapidly extracted on the basis of ensuring the accuracy, and then the identity of the person to be recognized can be rapidly and accurately recognized.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face recognition system and method. Background technique [0002] Face recognition technology is a very important identity authorization technology. In recent years, this technology has been increasingly used in mobile devices and embedded devices based on ARM (Advanced RISC Machines, a 32-bit reduced instruction set processor architecture) chip Get applications in, such as device unlocking, application login, mobile payment and so on. Some mobile devices and embedded devices have been equipped with face recognition technology, such as smartphone unlocking, high-speed rail station entrance gates, and community face access control, all of which must be run offline. In order to obtain a better user experience with limited computing resources, face recognition models need to be deployed locally on these devices, which imposes higher requirements on the accuracy and performance of ...

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
IPC IPC(8): G06K9/00G06K9/62G07C9/37G06N3/08G06N3/04
CPCG07C9/37G06N3/08G06V40/161G06V40/168G06N3/045G06F18/22
Inventor 夏东黎佳志
Owner 湖南视觉伟业智能科技有限公司
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap