Packaging printing abnormity monitoring method based on artificial intelligence

A technology for packaging printing and abnormal monitoring, applied in image analysis, image enhancement, instruments, etc., can solve problems such as inaccurate detection results, and achieve the effect of solving inaccurate detection results and accurate recognition results

Active Publication Date: 2022-08-02
山东嘉路包装科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an artificial intelligence-based packaging and printing abnormality monitoring method,

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
  • Packaging printing abnormity monitoring method based on artificial intelligence
  • Packaging printing abnormity monitoring method based on artificial intelligence
  • Packaging printing abnormity monitoring method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0053] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes the specific implementation, structure, features and effects of the technical solutions proposed by the present invention in detail with reference to the accompanying drawings and preferred embodiments. described as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0055] Since the gloss standard of the material is not a fixed value, for the bronzing area of ​​the packaging and pr...

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 technical field of data identification and processing, in particular to a packaging and printing abnormity monitoring method based on artificial intelligence, and the method comprises the steps: obtaining the surface RGBD images of a to-be-monitored packaging and printing product and a standard packaging and printing product at n different set illumination angles; the method comprises the following steps: preprocessing the surface RGBD images, inputting the 2n preprocessed surface RGBD images into a packaging and printing abnormity monitoring network, performing data identification and processing on the 2n preprocessed images by the network to obtain a combined image, and finally determining surface abnormal points of a to-be-monitored packaging and printing product. According to the method, the surface RGBD images under different set illumination angles are obtained, and the images are subjected to corresponding data identification and processing, so that the abnormal points on the surface of the packaged and printed product can be accurately identified finally, and the problem that the detection result is inaccurate due to the fact that printing quality detection of the packaged and printed product is manually carried out is effectively solved.

Description

technical field [0001] The invention relates to the technical field of data identification and processing, in particular to a method for monitoring abnormality of packaging and printing based on artificial intelligence. Background technique [0002] With the improvement of people's aesthetic needs, more and more packaging and printing products are not only required to be aesthetically pleasing in graphic design, but also require a textured texture and a sense of luster. In order to meet the above requirements, packaging and printing products often need to be completed after printing. Afterwards, finishing processes such as bronzing, drumming, UV and die-cutting are carried out. Since high-quality packaging printing is an important way and means to increase the added value of commodities and enhance the competitiveness of commodities, it is necessary to monitor the printing quality of packaging and printing products. [0003] In order to realize the quality monitoring of pac...

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): G06T7/00G06T7/11G06T7/136G06T7/194G06T5/50G06K9/62G06V10/764
CPCG06T7/0004G06T5/50G06T7/11G06T7/194G06T7/136G06V10/764G06T2207/10024G06T2207/20081G06T2207/20221G06T2207/30144G06F18/241Y02P90/30
Inventor 王典震
Owner 山东嘉路包装科技有限公司
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