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Construction safety discrimination method and system based on video information behavior pattern recognition

A pattern recognition and video information technology, applied in character and pattern recognition, neural learning methods, computing models, etc., can solve the problem of individual actions of workers in tunnels, irregular construction problems, real-time supervision, real-time comprehensive judgment, Unable to respond quickly and accurately in real time

Pending Publication Date: 2022-04-29
SHANDONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventor found that because the management personnel were unable to supervise in all directions in real time, and could not respond quickly and accurately in real time, construction operations such as excavators, spray anchors, steel arches erected, inverted arch pouring, etc. could not be judged in real time and comprehensively whether they met the expected construction specifications ;Individual action problems of workers in the tunnel and irregular construction problems such as smoking cannot achieve real-time supervision

Method used

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  • Construction safety discrimination method and system based on video information behavior pattern recognition
  • Construction safety discrimination method and system based on video information behavior pattern recognition
  • Construction safety discrimination method and system based on video information behavior pattern recognition

Examples

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Embodiment 1

[0036] Such as figure 1 As shown, this embodiment provides a construction safety discrimination method based on video information behavior pattern recognition, which specifically includes the following steps:

[0037] S101: Acquiring color images and depth images of persons in the set working area and tunnel construction renderings.

[0038] In the specific implementation process, the camera installed in the set working area, such as the set tunnel area, etc., can be used to collect the corresponding image information by the image acquisition device installed in the preset position.

[0039] S102: Extract the facial feature information in the color image and determine the identity of the person according to the degree of matching with the preset facial feature template, and then track the person to determine whether the identified person leaves the normal working area.

[0040] In this embodiment, the matching degree is measured by the cosine similarity between the face featu...

Embodiment 2

[0058] Such as figure 2 As shown, the present embodiment provides a construction safety discrimination system based on video information behavior pattern recognition, which specifically includes the following modules:

[0059] An image acquisition module, which is used to acquire color images and depth images of personnel in the set working area and tunnel construction renderings;

[0060] Identity and location confirmation module, which is used to extract the facial feature information in the color image and determine the identity of the person according to the degree of matching with the preset face feature template, and then track the person to determine whether the person whose identity has been determined has left the normal working area;

[0061] Illegal Behavior Judgment Module, which is used to extract the human skeleton node information in the depth image of the identified identity, and identify the behavior of the person based on the behavior discrimination model, a...

Embodiment 3

[0065] This embodiment provides a construction safety judgment system based on video information behavior pattern recognition, which includes an image collection terminal and an image processing terminal.

[0066] Among them, the image collection terminal is used to collect color images and depth images of personnel in the set working area as well as tunnel construction renderings.

[0067] The image acquisition terminal includes a camera set on the side wall of the tunnel, which is used to collect the tunnel construction effect map formed by real-time collection of tunnel construction equipment working information, as well as color images and depth images of personnel. The image acquisition terminal and the image processing terminal are transmitted through wired or wireless.

[0068] Wherein, the image processing terminal is configured as:

[0069] Extract the face feature information in the color image and determine the identity of the person according to the degree of matc...

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Abstract

The invention belongs to the field of tunnel safety construction, and provides a construction safety judgment method and system based on video information behavior pattern recognition. The method comprises the following steps: acquiring a color image and a depth image of personnel in a set working area and a tunnel construction effect picture; extracting face feature information in the color image and determining the identity of a person according to the matching degree of the face feature information and a preset face feature template, and then tracking the person to judge whether the person with the determined identity leaves a normal working area; extracting human skeleton node information in the depth image of which the identity is determined, identifying personnel behaviors based on a behavior discrimination model, comparing the personnel behaviors with violation behaviors in a violation information base, and judging the violation behaviors of the personnel in real time; and based on the tunnel construction effect drawing and the construction effect inspection model, judging whether the current tunnel construction accords with an expected scheme or not in real time.

Description

technical field [0001] The invention belongs to the field of tunnel safety construction, and in particular relates to a construction safety discrimination method and system based on video information behavior pattern recognition. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Due to the complex tunnel construction environment, relatively high risks, and difficult management, whether it is the failure or illegal use of tunnel construction equipment, or the irregular construction of workers, it will have a major impact on the safe construction of the tunnel. How to ensure the safety of personnel in the tunnel? , safe construction of equipment, ensuring the specification and quality of tunnel construction, and strengthening personnel management have become issues of concern to the current construction party. [0004] Due to the limitations ...

Claims

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Application Information

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IPC IPC(8): G06V20/40G06V40/20G06V40/16G06V10/74G06V10/764G06V10/70G06V10/82G06K9/62G06N3/00G06N3/04G06N3/08
CPCG06N3/006G06N3/08G06N3/045G06F18/2411G06F18/22
Inventor 成帅王超陈文尹周宗青杨钧岩余诚靳昊高上陈彦好王建波
Owner SHANDONG UNIV
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