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

被引：5
|
作者：
Zeng, Junjie [1 ,2 ]
Li, Cheng [1 ,2 ]
Zhang, Liang-Jie [1 ,2 ]
机构：
[1] Natl Engn Res Ctr Supporting Software Enterprise, Chengdu, Sichuan, Peoples R China
[2] Kingdee Int Software Grp Co Ltd, Kingdee Res, Shenzhen, Peoples R China
来源：
EDGE COMPUTING - EDGE 2018 | 2018年 / 10973卷
关键词：
Face recognition system; AI Edge; IOT; Cloud computing;
D O I：
10.1007/978-3-319-94340-4_7
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：91 / 98
页数：8
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