Dianzi Jishu Yingyong (Sep 2018)

Design of intelligent unmanned vending system in machine vision

  • Lin Fuchun,
  • Zhang Rongfen,
  • He Qianqian,
  • Liu Yuhong

DOI
https://doi.org/10.16157/j.issn.0258-7998.180564
Journal volume & issue
Vol. 44, no. 9
pp. 96 – 98

Abstract

Read online

This paper proposes an intelligent automated vending system based on machine vision and deep learning. The embedded ARM9 and various sensors are used to form the front-end acquisition system. The trained convolutional neural network is used to detect and identify the goods dynamically and statically on the server. Then the identifying information will be fed back to the databases, and the databases will integrate all the information. Finally it will determine the order information of customers. This system uses front-end hardware to acquire images on the automated vending counter and test them on the server's Caffe framework, and the result shows that the accuracy of this system can reach 99% in real time.

Keywords