Geological disaster early warning method based on feature code image pose detection

A geological disaster and feature code technology, which is applied in image analysis, image data processing, biometric identification, etc., can solve the problem of high cost of disaster prediction, reduce personal and economic losses, avoid personnel and vehicle damage, and improve accuracy.

Inactive Publication Date: 2022-06-24
深圳市华世智能科技有限公司
View PDF10 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] For this reason, the present invention provides a geological disaster early warning method based on feature code image pose detection, which can solve the technical problem of high disaster prediction cost 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
  • Geological disaster early warning method based on feature code image pose detection
  • Geological disaster early warning method based on feature code image pose detection
  • Geological disaster early warning method based on feature code image pose detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below with reference to the embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0036]Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0037] It should be noted that, in the description of the present invention, the terms “upper”, “lower”, “left”, “right”, “inner”, “outer” and other terms indicated in the direction or the positional relationship are based on the drawings. The direction or positional relationship shown is only for the conven...

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 geological disaster early warning method based on feature code image pose detection, and the method comprises the steps: arranging feature codes and a monitoring camera, the feature codes are disposed on a to-be-monitored slope, at least one feature code exists in the field of view of the monitoring camera, and the monitoring camera is used for shooting the feature codes in real time, forming a monitoring image group according to different shooting time, wherein the monitoring image group comprises a plurality of feature code images; setting a feature code reference image and a standard deviation threshold value; and calculating the offset of the positions or postures of the feature code image and the feature code reference image, and if the offset is greater than a standard offset threshold, performing disaster early warning. The monitoring camera is arranged to shoot the feature code, the safety state of the side slope to be monitored is predicted according to the position and posture change of the feature code in the time change process, side slope geological disasters can be pre-warned without depending on other equipment, the pre-warning cost is low, and the pre-warning efficiency is high.

Description

technical field [0001] The invention relates to the technical field of geological disaster monitoring, in particular to a geological disaster early warning method based on feature code image pose detection. Background technique [0002] Landslide refers to the phenomenon that the soil and rock mass on the slope slides down the slope in whole or in part under the action of gravity under the influence of various factors. Landslide disaster is one of the most harmful geological disasters. Due to the differences in geological conditions, there are many types and phenomena of landslides, which also makes the monitoring of landslides more difficult. [0003] The patent document with publication number CN215769998U discloses a landslide disaster monitoring and early warning system, the system includes: a monitoring unit, the monitoring unit includes a landslide depth monitoring module, an environmental monitoring module and a video monitoring module, and the landslide depth monito...

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): G06T7/70G06V20/52G06V40/10G06V10/40G06V10/82G06N3/04G08B21/14
CPCG06T7/70G08B21/14G06N3/045
Inventor 饶大林勾佳祺
Owner 深圳市华世智能科技有限公司
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