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

Corrugated carton pressing line defect detection optimization method based on artificial intelligence system

A corrugated box and artificial intelligence technology, applied in the field of artificial intelligence, can solve problems such as noise edge interference, partial edge loss, etc., and achieve the effect of eliminating the influence of noise edges, improving accuracy and generalization ability, and improving detection efficiency

Active Publication Date: 2022-07-22
南通金石包装印刷有限公司
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides an artificial intelligence system-based method for detecting and optimizing corrugated carton crimping defects to solve the existing problems of noise edge interference and partial edge loss in the canny algorithm due to low manual 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
  • Corrugated carton pressing line defect detection optimization method based on artificial intelligence system
  • Corrugated carton pressing line defect detection optimization method based on artificial intelligence system
  • Corrugated carton pressing line defect detection optimization method based on artificial intelligence system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] The embodiment of the artificial intelligence system-based corrugated box pressing line defect detection optimization method of the present invention, such as figure 1 shown.

[0046] S101. Obtain an image of the corrugated cardboard crimping area

[0047] The corrugated cardboard image is obtained by the camera, and the image of the corrugated cardboard image is segmented, which can eliminate the crease interference in the irrelevant area according to the prior information.

[0048] S102, obtain the edge line area of ​​the image of the line pressing area

[0049] The edge detection algorithm is used to obtain the image of the pressure line area for edge detection, and the initial edge line is obtained. The edge detection algorithm can be optimized according to the detected initial edge line characteristics.

[0050]S103: Clustering the edge line regions to obtain several edge cluster regions

[0051] The obtained edge line regions are clustered to obtain edge cluste...

Embodiment 2

[0063] The embodiment of the artificial intelligence system-based corrugated box pressing line defect detection optimization method of the present invention, such as figure 1 shown.

[0064] S201. Obtain the image of the corrugated cardboard crimping area

[0065] The corrugated cardboard image is obtained by the camera, and the image of the corrugated cardboard image is segmented, which can eliminate the crease interference in the irrelevant area according to the prior information.

[0066] The corrugated cardboard image is collected by the camera on the manipulator, and the background of the corrugated cardboard image is segmented by using the semantic segmentation network.

[0067] In order to ensure the consistency of subsequent image detection, the images of the divided regions should be equal in size.

[0068] S202, obtain the edge line area of ​​the image of the pressure line area

[0069] The edge detection algorithm is used to obtain the image of the pressure line ...

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 relates to the field of artificial intelligence, in particular to a corrugated carton line pressing defect detection optimization method based on an artificial intelligence system. Comprising the steps of obtaining a corrugated board line pressing area image; performing edge detection on the line pressing area image to obtain an edge line area; clustering the edge line region to obtain an edge cluster region, and obtaining an average gray gradient of each missing edge region before and after Gaussian filtering; calculating the optimal standard deviation of each missing edge region; extracting gray gradients of pixel points of each missing edge region, and performing ascending sorting to obtain a gray gradient set of each missing edge region; determining a low gray gradient threshold value of each missing edge region; and detecting the missing edges according to the low gray gradient threshold and the gray gradient set of each missing edge. According to the method, the edge detection algorithm is optimized for the missing edge, the edge detection precision and generalization capability can be improved, the influence of the noise edge is eliminated, and the process of repeated detection and adjustment can be reduced.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence, and specifically relates to an optimization method for detecting and optimizing defects in the crimping line of corrugated cartons based on an artificial intelligence system. Background technique [0002] As the market's requirements for pointing accuracy and packaging speed continue to increase, a large number of packaging cartons adopt folding heterosexual structures that open the box and automatically seal the bottom. Die-cutting has become the mainstream of carton production. The creasing process uses a creasing knife or creasing die to press out creasing lines on corrugated cardboard. Since automatic carton packaging is completed by a robot, the quality of the creasing line determines the quality of the carton after packaging. [0003] For the different shades of creasing lines and interfering creases produced near the creasing lines during the creasing process, or the creases ...

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): G06T7/13G06T7/11G06T5/20G06T5/00G06T7/136G06T7/90G06K9/62G06V10/762G06T7/00
CPCG06T7/13G06T7/11G06T7/136G06T7/90G06T5/20G06T7/0004G06F18/23G06T5/70Y02P90/30
Inventor 罗盼利
Owner 南通金石包装印刷有限公司