Unlock instant, AI-driven research and patent intelligence for your innovation.

Product packaging defect detection and identification method based on machine vision

A product packaging and defect detection technology, applied in the field of defect detection, can solve the problems of high error rate of product packaging detection and low production efficiency

Pending Publication Date: 2020-11-20
SHAANXI UNIV OF SCI & TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a product packaging defect detection and recognition method based on machine vision, which solves the problems of high product packaging detection error rate and low production efficiency in the prior art

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 packaging defect detection and identification method based on machine vision
  • Product packaging defect detection and identification method based on machine vision
  • Product packaging defect detection and identification method based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0063] A method for detecting and identifying product packaging defects based on machine vision in the present invention, the flow chart is as follows figure 1 As shown, the specific steps are as follows:

[0064] Step 1, extracting a product packaging processing image with no surface defects;

[0065] Such as Figure 2~3 As shown, step 1 is specifically implemented according to the following steps:

[0066] Step 1.1, use an industrial camera to take a surface image of a product package with no defects on the surface, and transfer the image to the computer;

[0067] Step 1.2, performing grayscale processing on the collected image;

[0068] Step 1.3, performing a 3*3 median filter on the grayscaled image;

[0069] Step 1.4, obtaining the processed image of the complete non-defective package.

[0070] Step 2, establishing a defect image t...

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 packaging defect detection and recognition method based on machine vision. The method comprises steps that firstly, a product packaging processing image without surface defects is extracted; a defect image template feature database is established; feature extraction, detection and identification of the packaging image of the to-be-detected product are carried out;and finally, the unqualified packaged products are blown into the collecting box, and the qualified packaged products are conveyed by the conveying belt to be output. The method is advantaged in thatproblems that in the prior art, the product packaging defect detection error rate is high, and production efficiency is low are solved.

Description

technical field [0001] The invention belongs to the technical field of defect detection by combining machine vision and image processing technology, and in particular relates to a product packaging defect detection and recognition method based on machine vision. Background technique [0002] As the last process of product production, packaging has a vital impact on product quality and company image. Packaging not only protects the safety of products, but also plays a role in publicity and represents the image of the company. The packaging of each product contains various information, and the correct reading of the information is conducive to the company's tracking of the product. For product packaging, in the past, most factories used manual testing. With the improvement of the production level of enterprises, this method has been difficult to meet the continuous and large-scale production needs of enterprises. [0003] Machine vision technology uses machines to replace h...

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): G06T7/00G01N21/88G06T7/136G06T7/194
CPCG01N21/8851G01N2021/8887G06T7/0006G06T2207/10004G06T2207/20024G06T7/136G06T7/194
Inventor 栾飞黄珂韵尤先强
Owner SHAANXI UNIV OF SCI & TECH