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

A face recognition statistical algorithm based on embedded multi-trajectory

A technology of face recognition and statistical algorithms, applied in character and pattern recognition, computing, computer parts, etc., to achieve a wide range of statistics

Inactive Publication Date: 2018-12-18
深圳市巨龙创视科技有限公司
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] A statistical algorithm based on embedded multi-track face recognition to solve the problems and technical points mentioned in the background

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
  • A face recognition statistical algorithm based on embedded multi-trajectory
  • A face recognition statistical algorithm based on embedded multi-trajectory
  • A face recognition statistical algorithm based on embedded multi-trajectory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of 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.

[0017] The working principle of the present invention is: the present invention is mainly divided into 4 parts, 1 face detection algorithm, 2, face comparison algorithm,

[0018] 3. Multi-trajectory scanning path algorithm of the ball machine. 4. Face information screening and statistics.

[0019] Face detection algorithm: Based on deep learning and its cooperation with IVE coprocessor, it can efficiently detect the current frame. If there is a person in the ...

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 statistical algorithm based on embedded multi-trajectory. The algorithm comprises the following steps: A, starting a high-speed spherical snap alignment machine; B, demarcating the statistical area; C, setting the basic parameters of the multi-trajectory of face recognition. D, starting multi-track scanning, capturing the best human face information, andcomparing and analyzing the forepart. The invention has the advantages that: 1, the high-speed spherical camera can realize the face recognition capture in the high-coverage area, and most applicationscenes are satisfied. 2, different trajectory scan modes can be set, and that lens can automatically change the focal length to ensure that the face recognition is in the optimal pixel ratio range and adapted to the environment of different distances. 3. face recognition cameras are used to realize front-end alignment.

Description

technical field [0001] The invention relates to the technical field of intelligent recognition statistical algorithms, and is specifically based on an embedded multi-track face recognition statistical algorithm. Background technique [0002] Face recognition technology is relatively popular in current computer vision, and it is a technology with rich application scenarios. With the application of face recognition technology and security monitoring, various face recognition and corresponding related demands are increasing. The embedded multi-trajectory face recognition statistical algorithm discussed here is based on face recognition. Different trajectories can be set to scan the designated area, and the ethical faces are captured during the camera movement for screening, and finally the information Statistics output. [0003] The realization of multi-trajectory statistics on faces mainly includes the following technical points. 1. Calibration of the area, calibrate the PT...

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): G06K9/00
CPCG06V40/166
Inventor 孙成智何广平许德驹
Owner 深圳市巨龙创视科技有限公司
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