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

Brake disc air duct defect automatic detection device and method based on machine vision

An automatic detection device and machine vision technology, applied in the field of image recognition, can solve the problems of low detection efficiency, inaccurate detection results, and high labor costs, and achieve the effects of reducing labor costs, improving detection efficiency, and improving accuracy.

Active Publication Date: 2020-10-02
成都卓识维景科技有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has high labor costs, inaccurate detection results, and low detection 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
  • Brake disc air duct defect automatic detection device and method based on machine vision
  • Brake disc air duct defect automatic detection device and method based on machine vision
  • Brake disc air duct defect automatic detection device and method based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0041] refer to Figure 1-8 , the present invention provides a technical solution:

[0042] see figure 1 , an automatic detection device for brake disc air duct defects based on machine vision, comprising at least one light source assembly 8 for illuminating the air duct on the brake disc; at least one image acquisition assembly 7 for collecting the brake disc air duct The image in 12; the light source assembly 8 is used in conjunction with the image acquisition assembly 7; the rotating drive assembly is used to drive the brake ...

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 brake disc air duct defect automatic detection device and method based on machine vision, and relates to the field of image recognition. The device comprises at least one light source assembly, at least one image collection assembly, a rotation driving assembly, and a defect automatic detection assembly. The light source assembly is used in cooperation with the image collection assembly and used for collecting images in a brake disc air duct; the rotation driving assembly is used for driving the brake disc to rotate or driving the image collection assembly to rotate around the brake disc; and the defect automatic detection assembly judges whether the air duct of each brake disc has defects or not. According to the device, clear images in the brake disc air duct are collected through the image collection assembly, whether defects exist in the brake disc air duct or not is judged through a defect detection algorithm model trained by a control mechanism, the detection efficiency of the brake disc air duct is improved, meanwhile, the accuracy of the detection result of the brake disc air duct is improved, and the labor cost of brake disc air duct detection isreduced.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a machine vision-based automatic detection device and method for brake disc air duct defects. Background technique [0002] Automobile brake discs are mainly produced by casting. Due to the casting process, brake discs are prone to defects such as trachoma, air scars, sticky sand, and lack of meat during the casting process. Brake disc air channel defects refer to defects distributed inside the hollow brake disc air channel, and most of the defect types are seams and punctures. [0003] At present, most brake disc manufacturers still use the traditional manual visual inspection and listening method to judge whether there are defects inside the brake disc air duct. This method has high labor costs, inaccurate detection results, and low detection efficiency. Contents of the invention [0004] The purpose of the present invention is to overcome the deficiencies of the ...

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): B07C5/342
CPCB07C5/3422
Inventor 王凯沈宗辉吴强
Owner 成都卓识维景科技有限公司
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