Check patentability & draft patents in minutes with Patsnap Eureka AI!

Industrial assembly line product defect detection method

A defect detection and assembly line technology, applied in the field of industrial assembly line product defect detection, can solve the problems of low accuracy, slow manual detection technology, and no unified standard, and achieve the effects of high detection accuracy, fast speed and easy operation.

Pending Publication Date: 2021-07-27
NANTONG UNIVERSITY
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: In view of the shortcomings of slow speed, low precision and no uniform standard in the manual detection technology of products in the production process of assembly line products, the present invention aims to realize fast and accurate detection of product surface defects by using machine vision

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
  • Industrial assembly line product defect detection method
  • Industrial assembly line product defect detection method
  • Industrial assembly line product defect detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention proposes a method for detecting defects of industrial assembly line products, which specifically includes the following steps:

[0024] Step 1, collecting product defect images to form a product defect image data set;

[0025] Use industrial cameras to take images of different types of product defects to obtain surface images of defective products. To generate more product defect images by means of translation, rotation, miscut, etc. to generate more training data and data amplification, in this embodiment, 150 product defect images of the same product are taken. The blemishes include cracks, scratches, pits and blisters.

[0026] The image acquisition device in this practical example includes an industrial camera, a rotating device, a light source and a shielding plate. There are many factors that affect image quality. For example, the selection of industrial cameras, the selection of light sources, and the selection of lighting methods.

[00...

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 an industrial assembly line product defect detection method, which comprises the following steps of: acquiring product defect images to form a product defect image data set; dividing the product defect image data set into a training set, a verification set and a test set; training, verifying and testing the VGG16 network model to form a trained VGG16 network model; extracting features of defective product pictures by adopting an SSD detection algorithm to finish classification of product defects; the detection efficiency of the workpiece with the hole in industrial manufacturing is improved while the product quality qualification is ensured, and the productivity is promoted.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a method for detecting defects of industrial assembly line products. Background technique [0002] With the vigorous development of the economy and the progress of the society, the manufacturing industry has achieved rapid development. With the increase of personal and social needs, most of the products used in life need to be produced on a certain scale of production line, so the automation of industrial product production has become the general trend. However, in the production process of assembly line products, it is inevitable to produce defective products, such as surface defects of workpieces. Therefore, an essential and important link in this process is the inspection of whether the product quality is qualified. Detecting unqualified products in time can not only ensure the safety and quality of products, but also help greatly improve production efficiency. [00...

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
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/187G01N21/88G06K9/38G06K9/62G06N3/04G06N3/08G06T5/00G06T5/40
CPCG06T7/0004G06T5/40G06T7/11G06T7/136G06T7/187G06N3/08G01N21/8851G06T2207/20032G06T2207/20081G06T2207/20084G06T2207/30108G01N2021/8887G06V10/28G06N3/045G06F18/241G06F18/214G06T5/90G06T5/70
Inventor 王栗彭玮徐一鸣华亮
Owner NANTONG UNIVERSITY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com