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

Product quality detection system and method based on opencv

A technology for detecting system and product quality, applied in image analysis, instruments, calculations, etc., can solve the problems of cumbersome operation, large work error, large workload, etc.

Pending Publication Date: 2019-06-07
NANJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the defects of the prior art, provide a product quality detection system and detection method based on opencv, and solve the problems of heavy workload, cumbersome operation, and work errors in the detection of product quality in the traditional manufacturing industry. big problem

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
  • Product quality detection system and method based on opencv
  • Product quality detection system and method based on opencv
  • Product quality detection system and method based on opencv

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] refer to Figure 1-6, a product quality inspection system based on opencv, including a conveyor belt module, an opencv image acquisition module, an opencv image processing module, a manipulator module, the first output of the opencv image acquisition module is connected to the first input of the manipulator module, and the opencv image acquisition The second output of the module is connected to the input of the opencv image processing module, the output of the opencv image processing module is connected to the second input of the manipulator module, the output of the manipulator module is connected to the input of the conveyor belt module, and the output of the conveyor belt module Connect the input end of the opencv image acquisition module, the opencv image acquisition module includes a database storage module, an image acquisition module, an image preprocessing module, and both the database storage module and the image acquisition module are electrically connected to ...

Embodiment 2

[0042] refer to Figure 1-9 , a product quality inspection system based on opencv, including a conveyor belt module, an opencv image acquisition module, an opencv image processing module, a manipulator module, the first output of the opencv image acquisition module is connected to the first input of the manipulator module, and the opencv image acquisition The second output of the module is connected to the input of the opencv image processing module, the output of the opencv image processing module is connected to the second input of the manipulator module, the output of the manipulator module is connected to the input of the conveyor belt module, and the output of the conveyor belt module Connect the input end of the opencv image acquisition module, the opencv image acquisition module includes a database storage module, an image acquisition module, an image preprocessing module, and both the database storage module and the image acquisition module are electrically connected to...

Embodiment 3

[0046] refer to figure 2 , a product quality detection system based on opencv, which is basically the same as that of Embodiment 1, and furthermore, the digital signal transmission optical module 1 is electrically connected with the digital signal transmission optical module 2, so that it is convenient to carry out the detection module through the histogram matching After the histogram similarity detection, the image information is transmitted to the opencv image processing module to facilitate the feature point similarity matching detection, and the digital signal transmission optical module 1 and the digital signal transmission optical module 2 are electrically connected to the manipulator module They are connected to facilitate the operation of the manipulator module controlled by the digital signal transmission optical module 1 and the digital signal transmission optical module 2.

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 product quality detection system and method based on opencv. The system comprises a conveying belt module, an opencv image acquisition module, an opencv image processing module and a manipulator module, the first output end of the opencv image acquisition module is connected with the first input end of the manipulator module; the second output end of the opencv image acquisition module is connected with the input end of the opencv image processing module; the output end of the opencv image processing module is connected with the second input end of the mechanical armmodule, the output end of the mechanical arm module is connected with the input end of the conveying belt module, and the output end of the conveying belt module is connected with the input end of theopencv image collecting module. The system has the advantages that image acquisition is carried out on products to be detected, histograms of the products to be detected and the products to be detected and normalization related parameters of the histograms are preliminarily calculated, and the purpose of preliminarily screening unqualified products is achieved; and then, the feature values of thetwo characteristic points are further calculated, so that the purpose of further screening unqualified products is achieved.

Description

technical field [0001] The invention relates to the technical field of product quality detection, in particular to an opencv-based product quality detection system and detection method. Background technique [0002] The quality of industrial products is related to the health and survival of human beings, and affects the development of society and economy. Carrying out quality inspection is an important basic work to understand and master the quality changes of industrial products, find problems in time, and strengthen quality management. Industrial product quality testing refers to the use of certain testing methods to measure the quality level of industrial products and the main factors affecting product quality in industrial production activities, and then compare the results of the measurement with the specified quality standards, so as to make a test of the test objects. The behavior of making a qualified or unqualified judgment and taking necessary adjustment, supervisi...

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): G06T7/00G06K9/62
Inventor 任毅马明栋顾浩刘凡赵东旭周子琦
Owner NANJING UNIV OF POSTS & TELECOMM
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