Safety belt recognition method and device and computer readable storage medium

A recognition method and seat belt technology, applied in the field of image recognition, can solve the problems of seat belt recognition accuracy reduction, false detection, missed detection, and background clutter of power scenes, etc., to achieve enhanced recognition accuracy, precise recognition, and avoid background interference Effect

Pending Publication Date: 2021-01-15
ZHEJIANG DAHUA TECH CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, at present, seat belt target detection is usually performed directly on surveillance images. However, due to the cluttered background of the power scene, utility poles, and high-voltage wires may become interference, direct target detection is likely to cause false detection and missed detection, resulting in reduced recognition accuracy of seat belts.

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 belt recognition method and device and computer readable storage medium
  • Safety belt recognition method and device and computer readable storage medium
  • Safety belt recognition method and device and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to make the purpose, technical solution and effect of the present application more clear and definite, the present application will be further described in detail below with reference to the accompanying drawings and examples.

[0025] This application provides a safety belt identification method, which segments the safety belt and safety rope in the image to be detected, and only extracts the mask image of the target foreground (safety belt and safety rope), which greatly avoids background interference, and at the same time takes into account The influence of the safety rope on the subsequent classification is also to segment the safety rope, and then classify the accurately segmented mask image into the safety belt classification, which can improve the recognition accuracy of the seat belt state.

[0026] see figure 1 , figure 1 It is a schematic flowchart of a safety belt identification method in the implementation manner of the present application. It sho...

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 belt recognition method and device and a computer readable storage medium. The safety belt identification method comprises the steps of obtaining a to-be-detected image; performing safety belt and safety rope segmentation on the image to obtain a mask image of the image; classifying the mask pattern to identify the safety belt. In this way, the recognition precision of the safety belt can be improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a safety belt recognition method, device and computer-readable storage medium. Background technique [0002] With the rapid development of society, more and more workers working at heights have emerged, and safety belts are essential protective equipment for working at heights. According to the statistical analysis of high-altitude fall accidents, the high-altitude fall accidents above 5m account for about 20%, and those below 5m account for about 80%. Most of the former are fatal accidents. It can be seen that it is very necessary to prevent falls from heights and take personal protective measures. It is not only necessary to detect the wearing condition of the seat belt before the operator works, but also needs real-time monitoring when working at heights. [0003] However, at present, seat belt target detection is usually performed directly on surveillance images. ...

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): G06K9/00G06K9/34G06K9/62G06K9/32
CPCG06V40/10G06V20/52G06V10/267G06V10/25G06F18/24
Inventor 任馨怡王枫熊剑平
Owner ZHEJIANG DAHUA TECH CO LTD
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