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Design and Implementation of Intelligent IoT Paper Pumping System Based on Face Recognition of Loongson Processor

  • Yichen Hou,
  • Tingjun Wang,
  • Zhenyu Zhang,
  • Zheyi Chen

摘要

In unattended public places, users' excessive paper extraction leads to paper waste, and contact paper extraction also brings the risk of virus transmission. In order to better solve these problems, a paper extraction system based on the Internet of Things (IoT) platform was designed. The structure includes a paper feeding mechanism, a visual sensor and a paper pressing mechanism. This device is equipped with a Loongson chip as the main control device. The UI design uses Qt to complete the writing of the desktop program, and the actual control test of the prototype is carried out. Experimental results show that the intelligent IoT paper extraction system can quickly do face recognition and detection, can control that the same person can only extract a limited number or length of paper towels in a short time, so as to save paper in public places. it meets the demand of non-contact paper extraction and has a good application prospect.