Artificial intelligence recognition device based on big data

A technology of artificial intelligence and recognition device, which is applied in the field of face recognition, can solve the problems of low recognition rate and achieve the effect of reducing recognition time, ensuring accuracy and improving recognition rate

Pending Publication Date: 2022-02-11
赵鑫
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current intelligent face recognition technology has the problem of low recognition rate

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
  • Artificial intelligence recognition device based on big data
  • Artificial intelligence recognition device based on big data
  • Artificial intelligence recognition device based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0073] Such as figure 1 As shown, the artificial intelligence recognition device based on big data provided by the present invention includes: a three-dimensional laser scanning module 1, a three-dimensional image preprocessing module 2, a face model training module 3, an interactive recognition module 4, and a remote face recognition module 5.

[0074] The three-dimensional laser scanning module 1 obtains face information data through a dimensional low-light scanner. In addition to the face and face, the face information data usually also includes hair, shoulders and other redundant information that are not related to face recognition. In order to reduce the amount of calculation and improve the recognition rate, the 3D face point cloud is preprocessed at the same time; the preprocessing includes: face cutting and pose correction.

[0075] The 3D image preprocessing module 2 is used to extract the image features of the 3D multimedia visual target image by analyzing the two as...

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 belongs to the technical field of face recognition, and discloses an artificial intelligence recognition device based on big data, and the device comprises: a three-dimensional laser scanning module which obtains face information data through a three-dimensional low-light scanner, and meanwhile, preprocesses the three-dimensional face point cloud; the three-dimensional image preprocessing module that is used for extracting three-dimensional multimedia visual target image features by analyzing two aspects of visual two-dimensional multimedia target image feature extraction and three-dimensional multimedia visual target image change feature generation; the face model training module that is used for calling an OpenCV internal function to obtain a trained model based on an OpenCV technology; the interaction recognition module that is used for inputting face information data and carrying out recognition; and the remote face recognition module that performs data processing and face recognition in the LabVIEW development environment, and finally feeds back the recognized identity information to the slave computer. According to the invention, the computer technology can be developed to intelligence and automation.

Description

technical field [0001] The invention belongs to the technical field of face recognition; it relates to a big data-based artificial intelligence recognition device. Background technique [0002] Face intelligent recognition technology is to identify and analyze the key parts of the face, collect people's expressions and store them in the database, and then identify them by comparing and analyzing the key parts of the face and expressions. At present, human beings' recognition of unfamiliar faces is not completely accurate, especially for some people with similar looks. Although people can distinguish them, it is difficult to describe how to identify them. Then it is more difficult for the vision system image acquisition equipment. [0003] The current intelligent face recognition technology has the problem of low recognition rate. Contents of the invention [0004] The present invention is in order to solve above-mentioned technical problem, the present invention provid...

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): G06V40/16G06V10/764G06V10/771G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2135G06F18/2411
Inventor 赵鑫
Owner 赵鑫
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