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

A monitoring and early warning system and method for construction warning areas based on image recognition

An image recognition, monitoring and early warning technology, applied in neural learning methods, biometric recognition, character and pattern recognition, etc., can solve problems such as waste of resources and manpower, affecting the entry and exit of construction personnel, missing inspections, etc., to achieve the effect of ensuring safety

Active Publication Date: 2022-04-29
RES INST OF HIGHWAY MINIST OF TRANSPORT +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for a large-scale construction area, directly setting up fences will not only affect the entry and exit of construction personnel, but also cause missed inspections.
At the same time, due to the large construction area and the progress of the project, the construction area needs to change, and the use of barbed wire fences will cause waste of resources and manpower. Therefore, it is necessary to find a safer, more effective and convenient monitoring and early warning method

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 monitoring and early warning system and method for construction warning areas based on image recognition
  • A monitoring and early warning system and method for construction warning areas based on image recognition
  • A monitoring and early warning system and method for construction warning areas based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] This embodiment provides a monitoring and early warning system for construction warning areas based on image recognition, which includes multiple cameras, the Internet and terminal devices set outside the construction warning area, and also includes an image input module, an image splicing module, an interactive calibration module, and pedestrian detection. module, visual intrusion module, feature extraction module and decision module, such as figure 1 shown;

[0057] The image input module is used to obtain the synchronous video images of each camera around the highway construction warning area, and sends the collected synchronous video images to the graphic splicing module, and the splicing module is used to splice multiple synchronous video images Obtain a panoramic image of the operating area;

[0058] The interactive calibration module is used to interactively demarcate the early warning trigger area on the panoramic image, and activate the visual intrusion module...

Embodiment 2

[0094] This embodiment provides an image recognition-based monitoring and early warning of highway construction warning areas, which specifically includes the following steps:

[0095] S1, deploying camera groups to cover engineering construction operations and surrounding warning areas; input images collected by multiple cameras into the image stitching module to stitch together to obtain a panoramic image of the operation area;

[0096] S2, mark the early warning trigger area on the obtained panoramic image through the interactive calibration module, and record the characteristics and number of operators who are allowed to enter the early warning trigger area;

[0097] S3, the visual intrusion module monitors the video images in the early warning trigger area in real time, and when an intruder enters the early warning trigger area, an early warning signal is sent to activate the pedestrian detection module;

[0098] S4, when the pedestrian detection module receives the early...

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 provides a monitoring and early warning system and method for construction warning areas based on image recognition. The system includes an image input module, an image splicing module, an interactive calibration module, a pedestrian detection module, a visual intrusion module, a feature extraction Intrusion detection, target detection and re-identification technology, by setting cameras around the construction warning area or around dangerous construction equipment to collect and obtain the surrounding environment information and the information of people entering and leaving in real time, the operator can change the alarm trigger area and the registration information of the operator at any time, and update it in real time Whether there is a human intrusion signal in the early warning trigger area, when there is a human intrusion signal, it will be activated and an alarm will be issued to remind violators to prohibit entering the area to ensure the safety of the construction warning area.

Description

technical field [0001] The invention relates to the technical field of information monitoring and early warning, in particular to a monitoring and early warning system and method for construction warning areas based on image recognition. Background technique [0002] In the engineering construction area, such as hoisting operations (including bridge erecting machine tower cranes), mechanical operations, hydraulic sliding formwork, blasting operations, main tower construction, silo wall periphery, and tensioning operations required by national and industry standards or guidelines The area where the warning zone is set, and the area where the construction warning zone should be set up under the high-level operations such as hanging baskets and mobile formwork construction, usually barbed wire fences are set up to prevent unrelated technical personnel from entering the construction area and prevent unsafe incidents. However, for a large-scale construction area, directly setting...

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 Patents(China)
IPC IPC(8): G08B13/196G06V40/10G06V10/774G06V10/82G06N3/04G06N3/08
CPCG08B13/196G08B13/19645G06N3/08G06V40/10G06N3/045
Inventor 刘伟李春阳李伟陈磊杨弘卿
Owner RES INST OF HIGHWAY MINIST OF TRANSPORT
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com