Notice of Violation of IEEE Publication Principles: Research on Logistics Information Collection Based on Image Recognition

Abstract

The logistics industry is an important part of the national economy and social life. With the rapid rise of e-commerce, the logistics industry is developing rapidly, and there are many problems due to the low level of automation in the sorting process. Therefore, improving the level of automation in the express sorting process is crucial to improving the efficiency of express sorting. In view of the above problems, this paper builds a logistics information collection model based on image recognition based on logistics information collection, combined with convolutional neural network for logistics image recognition. First, the current application status of information collection and image recognition in the logistics industry is described. Secondly, based on the existing image recognition technology, the convolutional neural network algorithm is used to quickly identify and collect information on logistics images. Finally, the case analysis and performance test results illustrate the superiority of the realized logistics information collection technology. This method can provide a scientific reference and basis for the modern logistics industry to adopt image recognition technology.