A safety management method based on artificial intelligence behavior prediction

A security management and artificial intelligence technology, applied in the field of security management, can solve problems such as strong interference and low readiness, and achieve the effect of simple algorithm, high accuracy and low overhead

Active Publication Date: 2019-05-07
成都毅创空间科技有限公司
View PDF10 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is the technical problem of strong interference and low readiness existing in the prior art

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 safety management method based on artificial intelligence behavior prediction
  • A safety management method based on artificial intelligence behavior prediction
  • A safety management method based on artificial intelligence behavior prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] This embodiment provides a safety management method based on artificial intelligence behavior prediction, the safety management method is used in smart home, such as figure 1 , the safety management method based on artificial intelligence behavior prediction includes:

[0040] Step 1. The machine vision recognition method recognizes human behavior, uses the human body feature recognition method to determine the identity label of a single user, and records and stores the behavior of a single user. The types of identity labels include the owner and the guest;

[0041] Step 2: Use the sinusoidal similarity data screening method to select the behavior data related to the behavior of a single user as the habit data set; use the habit data set to mine the user's behavior pattern, discover the time and user's behavior relationship function, and obtain the single user's daily behavior The customary time-domain feature function;

[0042] Step 2, repeat step 3 to obtain the time...

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 safety management method based on artificial intelligence behavior prediction, which solves the technical problems of strong interference and low preparation degree, and eliminates the behavior characteristics of electrical appliances operated by guests who accidentally enter a home environment by adopting the identity label of a defined person. According to the technical scheme, the definition of a guest is not limited to the definition of the guest, the guest is defined as interference, an owner is defined as a behavior data acquisition object required by safety management, and the identities of the guest and the owner are convertible, so that the problem is well solved, and the method can be applied to smart home.

Description

technical field [0001] The invention relates to the technical field of safety management, in particular to a safety management method based on artificial intelligence behavior prediction. Background technique [0002] Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It can be imagined that the technological products brought by artificial intelligence in the future will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence...

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): G06F21/31G06F21/45G06K9/00G05B15/02G05B19/418
CPCY02P90/02
Inventor 李坚
Owner 成都毅创空间科技有限公司
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