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A Face Recognition System Based on Cloud Computing and AI Edge for IOT

机译:基于云计算和AI Edge的物联网人脸识别系统

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摘要

With the demand for interconnection of all things, more and more kinds of sensors are connected to the Internet of Things. Different from traditional sensors, such as low transmission frequency and small data volume, visual sensors have the characteristics of high transmission rate and large data volume. Vision sensors are widely used in security, health care and other face recognition. This paper proposes a combination of edge-based artificial intelligence and cloud computing that is suitable for areas such as face recognition and security that require a large number of visual sensors and image processing and analysis. In order to verify the effectiveness of the technical framework proposed in this paper, a complete demonstration system was built at the end of the paper based on the rk3288 and cloud server to prove the excellence of the system described in this paper.
机译:随着对万物互联的需求,越来越多的传感器被连接到物联网。视觉传感器与传统传感器相比,传输频率低,数据量小,具有传输速率高,数据量大的特点。视觉传感器广泛用于安全,保健和其他面部识别。本文提出了基于边缘的人工智能和云计算的结合,适用于需要大量视觉传感器以及图像处理和分析的面部识别和安全性等领域。为了验证本文提出的技术框架的有效性,本文最后基于rk3288和云服务器构建了一个完整的演示系统,以证明本文所述系统的优越性。

著录项

  • 来源
    《Edge computing - EDGE 2018》|2018年|91-98|共8页
  • 会议地点 Seattle(US)
  • 作者单位

    National Engineering Research Center for Supporting Software of Enterprise Internet Services, Chengdu, China,Kingdee Research, Kingdee International Software Group Company Limited, Shenzhen, China;

    National Engineering Research Center for Supporting Software of Enterprise Internet Services, Chengdu, China,Kingdee Research, Kingdee International Software Group Company Limited, Shenzhen, China;

    National Engineering Research Center for Supporting Software of Enterprise Internet Services, Chengdu, China,Kingdee Research, Kingdee International Software Group Company Limited, Shenzhen, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Face recognition system; AI Edge; IOT; Cloud computing;

    机译:人脸识别系统; AI Edge;物联网云计算;

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