Flange surface defect detection method, system and equipment

A defect detection, flange surface technology, applied in neural learning methods, image data processing, instruments, etc., can solve problems such as difficulty in achieving accuracy and robustness, limited machine learning representation learning ability, and different defect shapes. To achieve the effect of improving robustness, improving detection accuracy and efficiency, and reducing false detection rate

Active Publication Date: 2021-03-16
ZHENGZHOU JINHUI COMP SYST ENG
View PDF8 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to factors such as a wide variety of products and complex backgrounds, the defects have different shapes, and the traditional machine learning representation learning ability is limited, so it is difficult to achieve high accuracy and robustness.

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
  • Flange surface defect detection method, system and equipment
  • Flange surface defect detection method, system and equipment
  • Flange surface defect detection method, system and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and technical solutions.

[0038] Embodiment of the present invention, see figure 1 As shown, a flange surface defect detection method is provided, including the following content:

[0039] S101. Acquire the image of the flange to be detected and locate the target area, the target area at least includes: the flange end face, the central bolt hole and the back of the flange; and perform semantic segmentation on the target area to determine the area to be detected;

[0040] S102. Obtain candidate pixel points with defect characteristics in the area to be detected by using the gray scale difference of neighboring pixels; obtain candidate defect position images by performing morphological operations and connected domain analysis on the candidate pi...

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 industrial product appearance detection, and particularly relates to a flange surface defect detection method, system and equipment. The flange surfacedefect detection method comprises the steps: obtaining a to-be-detected flange image, and positioning a target region which at least comprises a flange end surface, a central bolt hole and a flange back surface; performing semantic segmentation on the target area to determine a to-be-detected area; obtaining candidate pixel points with defect characteristics in the to-be-detected area by utilizingthe gray scale difference of the pixel neighborhood blocks; performing morphological operation and connected domain analysis on the candidate pixel points to obtain a candidate defect position image;and carrying out classification and identification on the candidate defect position images by utilizing the trained and optimized image identification network model, removing flange surface pseudo defects and counting defect feature information. The method can effectively improve the automation degree of flange surface detection, improves the accuracy of flange product surface defect detection, reduces the labor intensity, and has a good application value.

Description

technical field [0001] The invention belongs to the technical field of industrial product appearance inspection, and in particular relates to a flange surface defect inspection method, system and equipment. Background technique [0002] At present, flanges are widely used in the mechanical field because of their characteristics of convenient connection and high pressure resistance. Especially in various industrial pipelines, flange connections are widely used, and the demand for flange plates is particularly large, which also puts forward higher requirements for flange quality. [0003] However, due to factors such as casting materials, temperature, equipment extrusion, friction, and physical scratches and bumps during the transmission process of the flange during the production process, sand holes, ungrinded, scratches, and bumps will appear on the flange surface. Injury and other defects. These defects will not only affect the appearance of the product, but may also affe...

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): G06T7/00G06T7/11G06T7/136G06N3/08G06N3/04
CPCG06T7/0004G06T7/11G06T7/136G06N3/08G06N3/045
Inventor 张晨民李丙涛栗芳陈众威
Owner ZHENGZHOU JINHUI COMP SYST ENG
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