Abstract
Abstract In the tourism industry, the sales of local specialties is an important part, and the package design and integrity of the specialties are very important. This paper first introduced the support vector machine (SVM) algorithm that was used for detecting defects on the surface of paper packages. Then, the design of red wind packages was briefly described, and the simulation experiment was carried out on SVM algorithm using red wine packages with different degrees of surface defects. Proper parameters were tested using the k-fold cross-validation method. The results demonstrated that the properties of paper improved the value of packages and the SVM algorithm had better accuracy than artificial recognition in recognizing different degrees of defects on the surface of packages. In conclusion, this paper describes the application of paper in packages and provides an effective method for the defection of defects on the surface of packages. This study provides an effective references to the improvement of package values and the enhancement of package integrity.
Highlights
When using paper for packaging, the natural texture of paper can be used as decoration to enhance the ornamental value of the product packages, and the writability of paper enables the paper package to print different text patterns on the outer layer to enhance the added value or attractiveness of the product [1]
This paper briefly introduced the application of paper in tourism packages and the support vector machine (SVM) algorithm used for detecting the surface defects of packages
The results showed that: (1) the paper package designed in this study was processed by reduction compared to the traditional paper package; the structure was simplified as much as possible on the premise of ensuring the original function, and the bottom support structure was folded out by taking advantages of the features of paper, i.e., easy to fold and process, and the hollow treatment made the package and red wine together form an ornamental appearance; (2) when recognizing package surface defects, the SVM algorithm was more stable for different degrees of damages as its average recognition rate was higher and its recognition time was shorter
Summary
When using paper for packaging, the natural texture of paper can be used as decoration to enhance the ornamental value of the product packages, and the writability of paper enables the paper package to print different text patterns on the outer layer to enhance the added value or attractiveness of the product [1]. Xiao et al [3] proposed an image pyramid convolution neural network (IPCNN) model to detect surface defects in images and verified the effectiveness of the method in the experiment of comparing with other defect detection methods. Design of tourism package and recognition of surface defects 721 matching rule and proposed a convolution neural network based on a residual structure to achieve accurate defect detection. The experimental results showed that the method could significantly improve the performance of the deep learning when applied to surface defect detection. The fourth chapter shows an analysis of the structural design by taking the red wine paper packages as an example and a test on the surface damage detection algorithm.
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