Automatic detection method for flaw of transfusion catheter through machine vision system

A machine vision system and automatic detection technology, which is applied in the direction of optical testing for defects/defects, can solve the problems of inability to guarantee the quality of product pass rate inspection, low monitoring speed, and high labor intensity, and achieve the effect of reducing the labor intensity of inspection

Inactive Publication Date: 2012-06-13
WUXI ZHONGWANG 4D TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems that the existing technology relies on manual inspection for on-line detection of infusion catheter defects, workers are prone to visual fatigue, labor intensity is high, the product qualification rate and inspection quality cannot be guaranteed, and the monitoring speed is low. The present invention provides a machine vision system for The automatic detection method for infusion catheter defects can greatly reduce the labor intensity of workers' detection, with high detection accuracy and fast speed, which can effectively ensure the pass rate of ex-factory products

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
  • Automatic detection method for flaw of transfusion catheter through machine vision system
  • Automatic detection method for flaw of transfusion catheter through machine vision system
  • Automatic detection method for flaw of transfusion catheter through machine vision system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] like figure 2 The image of the infusion catheter shown has air bubbles in its upper part.

[0034] Fix the Basler ACA640-100GM industrial camera directly in front of the infusion catheter, the distance between the camera and the side of the infusion catheter is about 100mm, use the Schneider zoom lens, adjust the focal length to 8mm, adjust the aperture to the maximum value, and adjust the exposure time to 0.41 ms. A special white LED bowl light source is used to illuminate (backlight) from the opposite side of the camera relative to the infusion catheter, and a semi-closed metal frame is used to shield the influence of external stray light, so as to obtain a relatively stable visual image and reflect the infusion catheter. obvious features. The LED bowl light source of this project uses the special machine vision light source of CCS Company (the LED bowl light source of other companies can also be used), so as to capture clear images more stably and display them on ...

Embodiment 2

[0040] like image 3 The image of the infusion catheter shown has a scratch in its middle.

[0041] Fix the Basler ACA640-100GM industrial camera directly in front of the infusion catheter, the distance between the camera and the side of the infusion catheter is about 100mm, use the Schneider zoom lens, adjust the focal length to 8mm, adjust the aperture to the maximum value, and adjust the exposure time to 0.41 ms. A special white LED bowl light source is used to illuminate (backlight) from the opposite side of the camera relative to the infusion catheter, and a semi-closed metal frame is used to shield the influence of external stray light, so as to obtain a relatively stable visual image and reflect the infusion catheter. obvious features. The LED bowl light source of this project uses the special machine vision light source of CCS Company (the LED bowl light source of other companies can also be used), so as to capture clear images more stably and display them on the com...

Embodiment 3

[0047] like Figure 4 The image of the infusion catheter shown has a foreign body in its lower part.

[0048] Fix the Basler ACA640-100GM industrial camera directly in front of the infusion catheter, the distance between the camera and the side of the infusion catheter is about 100mm, use the Schneider zoom lens, adjust the focal length to 8mm, adjust the aperture to the maximum value, and adjust the exposure time to 0.41 ms. A special white LED bowl light source is used to illuminate (backlight) from the opposite side of the camera relative to the infusion catheter, and a semi-closed metal frame is used to shield the influence of external stray light, so as to obtain a relatively stable visual image and reflect the infusion catheter. obvious features. The LED bowl light source of this project uses the special machine vision light source of CCS Company (the LED bowl light source of other companies can also be used), so as to capture clear images more stably and display them ...

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 an automatic detection method for a flaw of a transfusion catheter through a machine vision system. The method comprises the following steps of: pre-shooting an image of a standard transfusion catheter as a standard image of the transfusion catheter and storing the image in a computer, determining whether the pre-shot image and the standard image of the transfusion catheter have a difference and setting the difference as a detection parameter, starting a camera to shoot an image of an on-line working transfusion catheter in a real-time manner through an external trigger and a control signal, transmitting the shot image to a computer for detecting, performing an image algorithm treatment through the computer, extracting the image of the transfusion catheter, comparing the image of the transfusion catheter with the standard image of the transfusion catheter, judging whether a product is a qualified product or a defective product, and rejecting the defective product from an appointed discharge hole through the external trigger and the control signal. The automatic detection method, provided by the invention, has the advantages of high detection precision and quick speed on the flaw of the transfusion catheter, so that the qualified rate of the products can be effectively ensured.

Description

technical field [0001] The invention relates to the technical field of on-line detection by using a machine vision system, in particular to a method for automatically detecting whether there are bubbles, scratches, foreign objects and other defects in the infusion catheter by using the machine vision system at the production site of the infusion catheter. Background technique [0002] In the production workshop of the infusion catheter in the assembly line, it is necessary to carry out online detection on whether there are bubbles, scratches, foreign objects and other defects in the infusion catheter. In the prior art, the on-line detection of defects in infusion catheters relies on manual detection, and about 80 people are arranged beside the infusion catheter production machine to detect and deal with various defects of infusion catheters, and the products are classified into qualified products (non-defective) according to the detection results. ) and nonconforming product...

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): G01N21/89
Inventor 董仲伟
Owner WUXI ZHONGWANG 4D TECH
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap