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

Video-based safety cap wearing condition detection method

A detection method and safety helmet technology, applied in the detection field, can solve the problems of abnormal screens left by monitoring personnel, increase the risk of accidents, time-consuming and labor-intensive problems, reduce the probability of false alarms, reduce the difficulty of detection, and expand the scope of use Effect

Inactive Publication Date: 2018-02-09
TIANJIN TIANDI WEIYE INFORMATION SYST INTEGRATION CO LTD
View PDF9 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In construction site monitoring, it is time-consuming and labor-intensive to watch the monitoring screen through human eyes for a long time, or to arrange personnel to regularly inspect the construction site, and to observe the wearing status of construction workers' helmets. In large-scale centralized monitoring, sufficient monitoring personnel are needed to monitor all at the same time. This will not only cause waste of manpower, but also cause abnormal images left by the monitoring personnel due to fatigue; at the same time, additional personnel entering and exiting the construction area will also increase the risk of accidents

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
  • Video-based safety cap wearing condition detection method
  • Video-based safety cap wearing condition detection method
  • Video-based safety cap wearing condition detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0032] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0033] The present invention provides a method for detecting the wearing condition of a safety helmet based on video, which specifically includes

[0034] (1) first utilize the gray value of each pixel of the two frames of images to carry out difference calculation, and the absolute value of the difference is greater than the threshold value and marked as the foreground pixel;

[0035] |p t (x,y)-p t-1 (x,y)|>threshold then (x,y) belongs to the foreground, otherwise it is the background.

[0036] Among them, p t (x, y) is the value of the (x, y) coordinate pixel at time t, p t-1 (x, y) is the value of the (x, y) coordinate pixel at time t-1, and threshold is the judgment threshold; ...

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 video-based safety cap wearing condition detection method comprising the following steps: obtaining video images, and calculating two-frame gray scale difference values so asto find out a motion area; using an agglomerate detection method to find out a candidate area; carrying out deformable assembly model system detection for the candidate area, and finding a clear target head shoulder area; carrying out cascade system detection for the head shoulder area so as to find out the target head area; carrying out HSV color space conversion for the video image head area; using a nerve network to classify and determine the head area image under the HSV color space, and determining whether the target has worn a safety cap or not; using the HSV color space to determine thesafety cap color; finally outputting the head area and safety cap wearing detection result. The video-based safety cap wearing condition detection method is accurate in detection result, can reduce the detection difficulty, and can improve the detection efficiency.

Description

technical field [0001] The invention belongs to the technical field of detection, and in particular relates to a method for detecting the wearing condition of a safety helmet based on video. Background technique [0002] In construction site monitoring, it is time-consuming and labor-intensive to watch the monitoring screen through human eyes for a long time, or to arrange personnel to regularly inspect the construction site, and to observe the wearing status of construction workers' helmets. In large-scale centralized monitoring, sufficient monitoring personnel are needed to monitor all at the same time. This will not only cause a waste of manpower, but also cause abnormal images left behind by the monitoring personnel due to fatigue; at the same time, additional personnel entering and exiting the construction area will also increase the risk of accidents. Contents of the invention [0003] In view of this, the present invention aims to propose a video-based detection met...

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 Applications(China)
IPC IPC(8): G06K9/00G06T7/246G06T7/90
CPCG06T7/246G06T7/90G06T2207/10016G06T2207/20084G06T2207/20081G06T2207/20104G06V20/46G06V20/40
Inventor 王国峰刘琰王思俊毕磊
Owner TIANJIN TIANDI WEIYE INFORMATION SYST INTEGRATION CO LTD
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