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

Three-camera face recognition device and method based on FPGA

A face recognition and camera technology, applied in the field of cameras, can solve the problems of high system complexity, slow recognition speed, and low recognition rate of face recognition cameras

Pending Publication Date: 2020-12-15
湖北佳狮盾智能技术有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a FPGA-based three-camera face recognition device and method to overcome the above-mentioned problems. Low recognition rate of face recognition camera, high system complexity and slow recognition speed

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
  • Three-camera face recognition device and method based on FPGA
  • Three-camera face recognition device and method based on FPGA
  • Three-camera face recognition device and method based on FPGA

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] Embodiment 1, an FPGA-based three-camera face recognition method, the method is applied to a terminal, and the terminal includes a first visible light camera, a second close-range infrared camera, and a third long-range infrared camera, wherein the The method includes the following steps:

[0075] S1, collecting images through the first visible light camera, the second close-range infrared camera, and the third long-range infrared camera;

[0076] S2, output the image according to the image captured in step S1, output the image captured by the first visible light camera to the monitoring display, output the image P1 captured by the second close-range infrared camera or the third long-range infrared camera, and wait for preprocessing;

[0077] S3, preprocessing the image P1, and outputting the target image P2;

[0078] S4, performing feature fusion and recognition on the image P2 to obtain a recognition result;

[0079] S5, outputting and transmitting the recognition r...

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 three-camera face recognition device and method based on an FPGA. The device comprises a three-camera unit, a camera installation disc, an angle adjustment device, an FPGA unit, a control unit, a power unit, a storage unit, and a communication unit. The method comprsies the steps of collecting images through a first visible light camera, a second close-range infrared camera and a third long-range infrared camera; s2, outputting an image P1 according to the image shot in the step S1; s3, preprocessing the image P1, and outputting a target image P2; s4, performing feature fusion and recognition on the image P2 to obtain a recognition result; s5, outputting and recognizing the recognition result. The face recognition method has the advantages of being high in robustness, accurate in recognition, long in test distance and capable of recognizing dark light, and the problems that an existing face recognition camera is low in recognition rate, high in system complexity and low in recognition speed are solved.

Description

technical field [0001] The present invention relates to the technical field of cameras, in particular to an FPGA-based three-camera face recognition device and method. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. . [0003] Existing face recognition equipment generally adopts dual cameras: one is a visible light camera and the other is an infrared camera. Infrared cameras are hardly affected by lighting, so infrared images are used for actual recognition. What is displayed on the screen of the face recognition device is not an infrared image, but a visible light image, because the ...

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): G06K9/00G06K9/62
CPCG06V40/166G06V40/172G06F18/2135G06F18/253
Inventor 张大红谭卫张振宇孙儒黄蓉母克新
Owner 湖北佳狮盾智能技术有限公司
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