Traffic construction hazard source AI image identification interface technology and method

An image recognition and hazard source technology, applied in the field of safety management of engineering construction projects, can solve the problems of easy omissions and fatigue, accuracy, timeliness, and large loopholes in the implementation of rectification, so as to improve work efficiency and reduce The effect of labor intensity

Inactive Publication Date: 2020-11-10
黄静波
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In the specific management process, due to the continuous advancement of the construction stage, the location factor in the construction process, and the uncertainty of construction safety hazards, there will be large loopholes in the accuracy, timeliness, and implementation of rectification in safety inspections.
Moreover, due to the complexity of the engineering construction project, it has brought a lot of diffi

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
  • Traffic construction hazard source AI image identification interface technology and method
  • Traffic construction hazard source AI image identification interface technology and method
  • Traffic construction hazard source AI image identification interface technology and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0041] refer to figure 1 and figure 2 , the embodiment of the present invention includes:

[0042] Figure 1 Indicates the various components and the relationship between them in an interface technology and method for artificial intelligence image recognition of engineering construction hazards.

[0043] Components: (1) Collect cameras P1, P2, P3, P4, ... on the construction site;

[0044] (2) The video stream server RTMP that accepts the video stream uploaded by the camera and accepts processing;

[0045] (3) Server GPU intelligently identified through video streams;

[0046] (4) Server for processing intelligent identification results and...

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

By means of the mode, a high-definition camera can be used for recognizing the unsafe behaviors of people in engineering construction and the unsafe state of a construction site through training, andthe corresponding relation between the behaviors/states and the recognition algorithm is established. Remote supervision of a construction site is realized, the real-time performance of supervision isimproved, the sudden occurrence of safety accidents is reduced, and the adverse consequences caused by the sudden occurrence of the safety accidents are reduced. Generally speaking, the work of supervisors is assisted and optimized on the basis of a machine and an intelligent algorithm, so that the labor intensity of the supervisors is reduced, the working efficiency of the supervisors is improved, and the emergency performance of prevention and treatment of engineering constructors is greatly improved.

Description

technical field [0001] The invention relates to the field of safety management of engineering construction projects, in particular to a system for realizing project safety management of safety risk sources through AI artificial intelligence image recognition in engineering construction. Background technique [0002] Safety management is a kind of dynamic management: it mainly organizes and implements enterprise safety management planning, guidance, inspection and decision-making. It is the fundamental link to ensure that the project construction is in the best safe state. [0003] Its object is the state management of all people, objects and environments in engineering construction. On-site safety management of traffic engineering construction can be roughly summarized into four aspects: safety organization management, site and facility management, behavior control and safety technology management. [0004] The occurrence of accidents in traffic engineering construction ha...

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
IPC IPC(8): G06K9/00G06N20/00G06Q10/06G06Q50/08
CPCG06N20/00G06Q10/0635G06Q50/08G06V20/40G06V20/52
Inventor 黄静波
Owner 黄静波
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap