A video-based overhead working personnel safety belt wearing detection method for an intelligent construction site

A kind of high-altitude operation and detection method technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of not very ideal linearity and the inability to extract the straight line of the edge of the seat belt, etc., and achieve the adaptability of the application environment Strong, reduced manual monitoring costs, low false recognition rate and low missed detection rate

Active Publication Date: 2019-04-16
武汉昊广智联科技有限公司
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For workers working at high altitudes, the edge information is very rich. After the image is grayed out, a large number of edges are extracted with the canny operator, so that the edge information of the s

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 video-based overhead working personnel safety belt wearing detection method for an intelligent construction site
  • A video-based overhead working personnel safety belt wearing detection method for an intelligent construction site
  • A video-based overhead working personnel safety belt wearing detection method for an intelligent construction site

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0141] Example: such as figure 2 shown;

[0142] The video-based method for detecting the wearing of safety belts of workers at heights in smart construction sites provided by the embodiments of the present invention includes:

[0143] Step 1, perform adaptive white balance, including:

[0144] 1) For each pixel according to

[0145] Y=0.257*R+0.564*G+0.098*B+16, Cb=-0.148*R-0.291*G+0.439*B+128, Cr=0.439*R-0.368*G-0.071*B+128. Convert an image from RGB color space to YCbCr color space.

[0146] 2) Set the size of the rectangular area of ​​the block. In order to meet the application of images with different resolutions, the width and height of the image block are respectively selected as one-fifth of the image width and height. If the remainder is less than 1 / 2 of the block width, then Merged into the last chunk, otherwise, as a separate smaller chunk.

[0147] 3) Calculate the mean value Mb of each block Cb, the mean value Mr of Cr;

[0148] 4) Calculate the average mea...

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 belongs to the technical field of safe operation information processing, and discloses a video-based overhead working personnel safety belt wearing detection method for an intelligent construction site, which comprises the following steps of: carrying out self-adaptive white balance on an obtained construction site image to eliminate chromatic aberration; Detecting and identifying auser target image by using a deep learning neural network; Smoothing filtering is carried out by adopting a mean shift smoothing method, edge detection is carried out based on a CIE00 color distance,and an edge image is obtained after binaryzation; Traversing an included angle Theta value between the distance Rho from the straight line to the original point in the search range and the horizontalline, and detecting all straight lines which may be two side edges of the safety belt in the edge image; And if the distance between the two parallel straight lines is within the specified range, thesafety belt exists. Equipment installation and maintenance cost is low; Based on video images, an artificial intelligence technology is adopted, all-weather monitoring of the wearing condition of thesafety belt of the high-altitude operator is achieved, application is convenient, cost is low, and large application prospects are achieved.

Description

technical field [0001] The invention belongs to the technical field of safe operation information processing, and in particular relates to a video-based method for detecting the wearing of safety belts of personnel working at heights in a smart construction site. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] For working at heights, the safety belt is the life belt. For special high-altitude operations, there are usually special safety management personnel on the job site to supervise the wearing and use of seat belts, but in general construction sites, such as construction operations on scaffolding, the working surface is large and there are many workers. The working hours are long, and the on-site management personnel have to supervise continuously around the clock, which is difficult and requires a lot of manpower. The actual situation of on-site management is that after the education and remind...

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): G06K9/00G06K9/34G06K9/46G08B21/02
CPCG08B21/02G06V20/52G06V10/457G06V10/267G06V10/56
Inventor 罗小安
Owner 武汉昊广智联科技有限公司
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

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