Face recognition campus area early warning method and system for K12 education stage

A face recognition and early warning system technology, applied in character and pattern recognition, data processing applications, special data processing applications, etc., can solve the problems of easily consuming the energy of monitoring personnel, false alarms, etc., to reduce the probability of false alarms , reduce the false alarm rate and improve the effect of early warning accuracy

Active Publication Date: 2020-05-29
广东德融汇科技有限公司
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a face recognition campus area early warning method and system for the K12 education stage, which solves the problem that any moving object may mistakenly trigger the alarm due to the identification method in the existing campus dangerous area monitoring technology, which is easy to consume monitoring personnel energy technical issues

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
  • Face recognition campus area early warning method and system for K12 education stage
  • Face recognition campus area early warning method and system for K12 education stage
  • Face recognition campus area early warning method and system for K12 education stage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Such as figure 1 As shown, a face recognition campus area early warning method for the K12 education stage includes the following steps:

[0020] Establish a dangerous area model, define the area that needs to be controlled, and set the safety and early warning range;

[0021] Determine whether the person appearing in the video is an insider, and analyze the direction of travel of the human body appearing in the video to determine whether it has a tendency to enter the dangerous area;

[0022] Screen the personnel entering the control area, and remind the security personnel to pay attention to the abnormal state of the control area.

[0023] Such as figure 2 As shown, define the areas that need to be controlled, and set the security and early warning range, including:

[0024] Establish a dangerous area model in the dangerous area that needs to be controlled;

[0025] Intercept the captured video according to the preset time period to form multiple video streams fo...

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 campus area early warning method and system for a K12 education stage, and the method comprises the steps: defining an area needing to be managed and controlled, and setting a safety and early warning range; judging whether a person appearing in the video is an internal person or not, analyzing the advancing direction of a human body appearing in the video, and judging whether the person has a trend of entering a dangerous area or not; and discriminating the personnel entering the management and control area, and reminding security personnel of payingattention to the abnormal state of the management and control area. According to the invention, a region identification mode is adopted; based on face recognition and behavior analysis, people entering a management and control area are doubly identified, human bodies and objects can be clearly identified, adults and children and people outside and inside a school are further distinguished, the false alarm rate in an existing dangerous area early warning technology is effectively reduced, an alarm is given in a targeted mode, and the early warning accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of face recognition security early warning, in particular to a face recognition campus area early warning method and system for the K12 education stage. Background technique [0002] During the operation of the campus, in order to meet the needs of children for learning and activities, various places with different functions have been established, but not all places are suitable for children to come and go. Children in the early childhood stage are full of curiosity and have no sense of safety. Although there are many security settings, but there are many children, it is inevitable that there are some omissions. [0003] The existing safety management is mainly through video surveillance, but it is impossible to find children in dangerous areas in time only by relying on the management and control of teaching staff. At present, the dangerous area monitoring technology is to compare the real-time image with...

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): G06K9/00G06F16/583G06Q50/26
CPCG06F16/583G06Q50/265G06V40/16G06V40/20
Inventor 曾金云喻建斌钟罗玲梁宇
Owner 广东德融汇科技有限公司
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