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

Semi-supervised artificial intelligence human body detection embedded algorithm based on infrared array time sequence

A technology of human body detection and artificial intelligence, which is applied in the field of human body intelligent recognition, can solve problems such as inability to effectively identify human bodies, easy damage to user privacy, and limited detection range, etc., to achieve flexible and effective detection range and installation and implementation environment, and strong environmental adaptability , The effect of protecting privacy and security issues

Active Publication Date: 2020-09-29
浙江智物慧云技术有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the existing human body recognition technology, which is easy to damage the user's privacy, the hardware cost is high, the human body in a static state cannot be effectively recognized, the detection range is limited, and the detection facilities are relatively restricted by the environment, etc. The present invention provides a better To avoid privacy issues, it can more effectively detect and obtain human body information in a static state, with a larger detection range, and to a lesser extent reduce the impact of detection facilities on the environment. Embedded algorithm for semi-supervised artificial intelligence human body detection based on infrared array timing

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
  • Semi-supervised artificial intelligence human body detection embedded algorithm based on infrared array time sequence
  • Semi-supervised artificial intelligence human body detection embedded algorithm based on infrared array time sequence
  • Semi-supervised artificial intelligence human body detection embedded algorithm based on infrared array time sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] A semi-supervised artificial intelligence human detection embedded algorithm based on infrared array timing, including the following identification steps:

[0032] 1a. read the infrared array data Z(t)=[z ij (t)], where [z ij (t)] is the temperature value of the i-th row and j-column in the array at time t, and performs Kalman filtering;

[0033] 1b. After filtering, the optimal solution data matrix at time t is obtained as M t =[m ij ], where m ij is the temperature value of row i and column j;

[0034] 1c. Calculate M at time t t The variance σ of t and average as the eigenvalues ​​of the temperature matrix;

[0035] 1d. Cyclic calculation of steps 1a and 1b in the above steps, and store in a time series of t length r

[0036]

[0037] and calculate the temperature matrix average

[0038] 1f. Calculate a time series R of length r t The variance of the two eigenvalues ​​in

[0039]

[0040] In the formula: is the time series variance of the varian...

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 semi-supervised artificial intelligence human body detection embedded algorithm based on an infrared array time sequence. The algorithm comprises the steps of reading infrared array data Z (t) = [zij (t)] obtained through the detection of an infrared array sensor every 300ms, and carrying out the Kalman filtering; obtaining an optimal solution data matrix Mt = [mij] at the moment t after filtering; calculating a variance sigma t of Mt and an average value as characteristic values of the temperature matrix; circularly calculating the previous steps, storing a time sequence with the length of r, calculating the average value of the temperature matrix, and calculating the variance of two characteristic values in the time sequence Rt with the length of r; and on the basis of finding out the background feature matrix, obtaining a data matrix Ms at the moment s, calculating and judging whether a person exists or not, and performing mutual conversion between a personexistence state and an unmanned state. The privacy problem is better avoided, the human body information in the static state is more effectively detected and obtained, the detection range is large, the degree of environmental influence on detection facilities is small, and the detection adaptive capacity is high.

Description

technical field [0001] The invention relates to a human body intelligent recognition method, in particular to a semi-supervised artificial intelligence human body detection embedded algorithm in certain public scenes where it is necessary to detect and judge whether there is a human body. Background technique [0002] Usually in some scenes like public toilets, it is inconvenient or impossible to directly detect whether there is a human body in a certain behavior, and it is hoped or necessary to be able to know the data information of the human body; for example The application needs to judge whether there are people in the monitoring pit in the public toilet, so that the personnel data information is displayed on the display screen set outside the public toilet, so as to transmit to people the usage information of the public toilet location in the public toilet management system, through the public toilet The management system monitors the toilet seat usage data of public t...

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): G01J5/00G01J5/02G01J5/06G01D5/26
CPCG01J5/0066G01J5/0025G01J5/027G01J5/06G01D5/26G01J5/068
Inventor 庞胜
Owner 浙江智物慧云技术有限公司
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