Method for detecting surface defects of ceramic valve cores based on machine vision

A ceramic spool and machine vision technology, applied in the field of ceramic spool detection, can solve the problems of unsatisfactory manual detection efficiency, inability to guarantee the accuracy and efficiency of ceramic spools, increased labor costs and management costs, etc.

Inactive Publication Date: 2016-05-04
HUBEI UNIV OF TECH
View PDF9 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This not only increases labor costs and management costs, but also cannot guarantee the accuracy and efficiency of ceramic valve core detection due to the fatigue and instability of human eye detection
And with the expansion of production scale and the improvement of production line speed, manual inspection cannot meet the requirements of modern large-scale industrial production in terms of efficiency.

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
  • Method for detecting surface defects of ceramic valve cores based on machine vision
  • Method for detecting surface defects of ceramic valve cores based on machine vision
  • Method for detecting surface defects of ceramic valve cores based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044]The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, so as to facilitate a clearer understanding of the present invention, but they do not limit the present invention.

[0045] A method for detecting surface defects of ceramic valve cores based on machine vision, combined with figure 1 , figure 2 As shown, the detection method includes the following steps:

[0046] A. Before automatic detection, under manual intervention, templates and masks were established for different types of ceramic valve cores, among which: templates and masks of each type include polished surface templates, polished surface masks, and non-polished surface templates and non-polished masks;

[0047] a1. Since the ceramic valve core is usually white, when designing, use black as the background to take pictures of the surface of the ceramic valve core to be tested, which is convenient for development; Holes or edge...

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 method for detecting surface defects of ceramic valve cores based on machine vision. The method comprises the following steps: respectively establishing templates and mask plates for the ceramic valve cores in different sizes; respectively performing template shape matching with the polishing surface templates and non-polishing surface templates in corresponding sizes according to a to-be-detected surface image of a to-be-detected ceramic valve core; confirming the surface, position and direction of the to-be-detected surface image, and then aligning the to-be-detected surface image with a selected template and mask plate; performing Blob detection on the to-be-detected surface image of the to-be-detected ceramic valve core; and performing crack detection on the to-be-detected surface image. According to the method for detecting surface defects of ceramic valve cores based on machine vision provided by the invention, the surface defects of the to-be-detected ceramic valve core can be automatically detected, the detection stability is high, the detection cost is low, the detection speed is high and the detection rate reaches 95%. Besides, the total time for detecting and recognizing various defects is less than 0.3 second. The method can be widely applied to the field of detection for the surface defects of the ceramic valve cores.

Description

technical field [0001] The invention belongs to the field of detection of ceramic valve cores, and in particular relates to a method for detecting surface defects of ceramic valve cores based on machine vision. Background technique [0002] The ceramic spool is the core component of the faucet, which directly affects its sealing performance and service life. When the working surface of the ceramic spool is unevenly polished, or there are cracks and damage, the faucet will leak. Therefore, before the assembly of the faucet, it is necessary to carry out strict appearance inspection on the ceramic valve core. At present, the vast majority of faucet manufacturers use manual inspection to inspect the appearance of ceramic valve cores. This not only increases labor costs and management costs, but also cannot guarantee the accuracy and efficiency of ceramic valve core detection due to the fatigue and instability of human eye detection. And with the expansion of production scale ...

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): G01N21/88
CPCG01N21/8851G01N2021/8887
Inventor 汪威周春晓何小凡丁善婷汤亮王亮雷茜何稳张董洁孙黄江张业鹏
Owner HUBEI UNIV OF TECH
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