Abstract
With the development of science and technology, intelligent products based on the internet of things are becoming increasingly popular in modern society. An intelligent shelf can obtain the location of goods in real-time through a location algorithm and software. The application of intelligent shelves in integrated circuit foundry enterprises can realise automatic inventory, which can improve the accuracy and real-time performance of data in and out of the warehouse. This paper proposes a location algorithm based on a support vector machine-neural network, which can be applied to smart shelves to obtain higher location accuracy. Finally, this paper designs and establishes an experimental verification platform and carries out related verification experiments and data analysis, which proves the feasibility and effectiveness of the support vector machine-neural network location algorithm and provides a basis for the further application of intelligent shelves.
Published Version
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