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

Vision-based metal surface defect detection method

A metal surface and defect detection technology, applied in the direction of optical testing flaws/defects, measuring devices, material analysis through optical means, etc., can solve problems such as line marks, oil stains, and gaps on the surface of bullet casings

Inactive Publication Date: 2018-06-15
广州映博智能科技有限公司
View PDF2 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the problems of surface line marks, oil stains, gaps, and size deviation defects on the appearance of bullet casings due to the influence of stamping equipment, processing technology, raw materials, chemical components and other factors in the existing production process of bullet casings

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
  • Vision-based metal surface defect detection method
  • Vision-based metal surface defect detection method
  • Vision-based metal surface defect detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0018] like figure 1 Shown, a kind of vision-based metal surface defect detection method of the present invention comprises the following steps:

[0019] S1, using a method based on a line scan camera to collect images. Due to the curved surface and material of the cartridge case, strong reflections will occur when the light hits the surface, and the slight swing of the cartridge case will affect the amount of light entering. Ordinary light sources or a single line light source cannot make the surface brightness of the cartridge case uniform. The detection system uses two white line light sources to illuminate the cartridge case from the left and right sides, one of th...

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 vision-based metal surface defect detection method, which comprises: S1, collecting images by adopting a line-scan-camera-based method; S2, carrying out defect division; and S3, recognizing the target defect by using a pattern recognition algorithm. According to the present invention, a set of the complete solving scheme containing the line-scan-camera-based image collecting method, the defect division algorithm and the detect classification algorithm is designed, such that the accurate division of the bright defect and the dark defect is successfully achieved, and thegood defect classification effect is achieved.

Description

technical field [0001] The invention relates to the field of surface defect detection, in particular to a vision-based metal surface defect detection method. Background technique [0002] Machine vision is an interdisciplinary subject involving artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition and many other areas. Machine vision mainly uses computers to simulate people or reproduce certain intelligent behaviors related to human vision, extract information from images of objective things for processing, and understand them, and finally use them for actual detection and control. Main applications such as industrial testing, industrial flaw detection, precision measurement and control, automatic production lines, postal automation, grain selection, micromedical operations, and robots working in various dangerous situations. [0003] Defect detection usually refers to the detection of surface defects of objects. Surfa...

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 覃争鸣何中平梁鹏
Owner 广州映博智能科技有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com