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Corrugated board stacking layer number counting method based on deep learning

A technology of corrugated cardboard and deep learning, applied in neural learning methods, computing, image data processing, etc., can solve the problems of missing numbers, low production efficiency, prone to error numbers, etc., and achieve the effect of precise counting means

Inactive Publication Date: 2020-10-30
NANTONG UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The process of counting stacked corrugated cardboard is mainly completed by manual counting at present, which has problems such as high labor intensity, low production efficiency, and prone to errors and omissions.

Method used

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  • Corrugated board stacking layer number counting method based on deep learning
  • Corrugated board stacking layer number counting method based on deep learning
  • Corrugated board stacking layer number counting method based on deep learning

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Embodiment Construction

[0037] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0038] See Figure 1-4 , The present invention provides a technical solution: a method for counting the number of stacked layers of corrugated cardboard based on deep learning, including the following steps:

[0039] A. Intercept the area of ​​interest from the cardboard stack photo and perform image preprocessing: first intercept the area of ​​interest from the original cardboard stack photo. The specific steps are: first take a cardboard...

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Abstract

The invention discloses a corrugated board stacking layer number counting method based on deep learning. The method comprises the following steps: extracting macropore characteristics of the corrugated board by utilizing AA R2U-Net; segmenting a large hole area from the corrugated board stacking photo, and judging and counting the number of corrugated board stacking layers through the large hole areas arranged in rows. According to the method, the recognition precision and efficiency are high, the manual counting time is shortened, and the situations of number errors, number leakage and the like caused by manual counting errors are avoided.

Description

Technical field [0001] The invention relates to the technical field of counting the number of stacked layers of corrugated cardboard, in particular to a method for counting the number of stacked layers of corrugated cardboard based on deep learning. Background technique [0002] Corrugated cardboard is a board made of liner paper and corrugated sticks, and then bonded with corrugated corrugated cardboard. It is generally divided into two types: single corrugated cardboard and double corrugated cardboard. In practical applications, corrugated cardboard has very good cushioning properties and can protect large objects from damage during transportation. It is a commonly used packaging material. [0003] In the process of corrugated paper production, manufacturers need to count the number of stacked layers of corrugated paper products and perform batches. The process of counting stacked corrugated cardboard is currently mainly completed by manual counting, which has problems such as h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T5/40G06N3/08G06N3/04
CPCG06T7/11G06T5/40G06N3/08G06T2207/20081G06T2207/20084G06T2207/30124G06T2207/30242G06N3/045
Inventor 张堃韩宇徐子洋荣梦杰冯文宇华亮李文俊鲍毅
Owner NANTONG UNIVERSITY
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