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

Camera shooting device, human face recognition method and computer readable storage medium

A camera device and face recognition technology, applied in the field of image processing, can solve problems such as high power consumption and heat dissipation, high network pressure, and high server computing pressure, and achieve the effect of reducing network transmission pressure and computing pressure

Active Publication Date: 2018-05-15
PING AN TECH (SHENZHEN) CO LTD
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the existing 1:N dynamic face recognition system generally uses a server to connect one or more network cameras, and the server receives video data from the cameras through the network, and performs face recognition on the video data. The calculation pressure of the server is very high, especially when the number of cameras is large, usually one server cannot meet the demand, and a server array needs to be built, and there will be high requirements in terms of power consumption and heat dissipation; in addition, because video data needs to be transmitted from the camera To the server, the pressure on the network is also relatively high, and this pressure will increase with the improvement of camera resolution and image quality

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
  • Camera shooting device, human face recognition method and computer readable storage medium
  • Camera shooting device, human face recognition method and computer readable storage medium
  • Camera shooting device, human face recognition method and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] It should be noted that the descriptions involving "first", "second", etc. in the present invention are only for descriptive purposes, and should not be understood as indicating or implying their relative importance or implicitly indicating the number of indicated technical features . Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one...

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 camera shooting device, a face recognition method and a computer readable storage medium. The face recognition method comprises the following steps of carrying out face detection on video data to obtain a face image; tracking the face image, and acquiring a sequence of face images; performing image quality evaluation on the sequence of face images, and acquiring a presetnumber of face images which are ranked in the top; carrying out feature point positioning on the preset number of face images which are ranked in the top, and carrying out correction based on positioned face images; inputting the corrected face images into a depth neural network model which is generated in advance, and acquiring an output face feature vector; sending the face feature vector to aserver, and carrying out comparison operation on face images in samples in a face image sample library. According to the invention, the calculation pressure of the server during face recognition can be reduced, and the network transmission pressure can also be reduced.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a camera, a face recognition method and a computer-readable storage medium. Background technique [0002] At present, the existing 1:N dynamic face recognition system generally uses a server to connect one or more network cameras, and the server receives video data from the cameras through the network, and performs face recognition on the video data. The calculation pressure of the server is very high, especially when the number of cameras is large, usually one server cannot meet the demand, and a server array needs to be built, and there will be high requirements in terms of power consumption and heat dissipation; in addition, because video data needs to be transmitted from the camera To the server, the pressure on the network is also relatively high, and this pressure will increase with the improvement of camera resolution and image quality. Contents of the i...

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): G06K9/00G06K9/62G06F17/30
CPCG06F16/583G06V40/166G06V40/171G06F18/214
Inventor 陈林
Owner PING AN TECH (SHENZHEN) CO LTD
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

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