Safety cap wearing condition detection method based on video stream data

A detection method and safety helmet technology, which is applied in the fields of identification and early warning, protection and detection of safety helmet protection measures, and detection of safety helmet wearing conditions. and other issues to achieve the effect of saving manpower, improving the level of informatization, and improving the recognition rate

Inactive Publication Date: 2018-07-24
武汉倍特威视系统有限公司
View PDF8 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main technical problem is that the general applicability of the actual scene in use is insufficient, resulting

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
  • Safety cap wearing condition detection method based on video stream data
  • Safety cap wearing condition detection method based on video stream data
  • Safety cap wearing condition detection method based on video stream data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0048] Such as Figure 1 to Figure 4 As shown, the present invention discloses a safety helmet wearing situation detection method based on video stream data, comprising the following steps:

[0049] Step 1. Acquisition of video stream data

[0050] Set up a camera in the active area of ​​the workers on the construction site, obtain the video stream of the camera, and decode the video stream data frame by frame, convert it into a Lab space representation, and convert it into a corresponding color image;

[0051] Step 2. Activity target extraction

[0052] By performing background modeling on the n frames of pictures acquired in the video, and then performing frame difference on the active target in the n+1 frames, the pixel value I(x,y) of the n+1 frame is subtracted from the same position pixel in the background model The average value u(x,y)...

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 discloses a safety cap wearing condition detection method based on video stream data; the method comprises the following steps: obtaining video stream data; extracting moving objects; matching body objects; locating heads; matching safety cap colors; matching safety cap contours; matching safety cap wearing features. The method can provide multi-detection means, can combine the moving object detection, body object matching, head locating, safety cap color and contour matching and safety cap wearing feature matching technologies, thus greatly improving the safety cap and safety cap correct wearing recognition rate; the method can automatically identify and detect the safety cap wearing conditions of workers in the construction field, thus preventing workers wearing no safety cap or carrying safety caps by hands from entering the construction area, assisting construction area safety monitoring units of all levels to realize construction area intelligent monitoring, and improving the construction area safety monitoring informatization level.

Description

technical field [0001] The present invention relates to the technical field of digital video intelligent analysis, in particular to a method for detecting helmet wearing based on video stream data, which is a technique for guaranteeing, detecting, identifying and early warning of helmet protective measures for personnel at various work sites . Background technique [0002] At present, the main detection target means are as follows: [0003] One is a knowledge-based helmet detection method, such as template matching, face features, shape and edge, texture features, and color features. The application based on HOG (Histogram of Gradient) feature is a classic mode. [0004] The second is the helmet detection method based on statistics, such as principal component analysis and helmet characteristics, neural network method, support vector machine, hidden Markov model, Adaboost algorithm, etc. As the basic algorithm of machine vision, HAAR-like classifier is also widely adopted...

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): G06K9/00G06K9/62G06N3/08
CPCG06N3/08G06V20/41G06V20/46G06V10/752G06F18/2411G06F18/214
Inventor 杨贤文
Owner 武汉倍特威视系统有限公司
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