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
相关论文
共 50 条
  • [1] Optimization of Face Recognition System Based on Azure IoT Edge
    Li, Shen
    Liu, Fang
    Liang, Jiayue
    Cai, Zhenhua
    Liang, Zhiyao
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 61 (03): : 1377 - 1389
  • [2] Cloud edge computing in the IoT
    Ilhem Fajjari
    Fouad Tobagi
    Yutaka Takahashi
    [J]. Annals of Telecommunications, 2018, 73 : 413 - 414
  • [3] Cloud edge computing in the IoT
    Fajjari, Ilhem
    Tobagi, Fouad
    Takahashi, Yutaka
    [J]. ANNALS OF TELECOMMUNICATIONS, 2018, 73 (7-8) : 413 - 414
  • [4] The Cloud based Edge Computing with IoT Infrastructure and Security
    Velmurugadass, P.
    Dhanasekaran, S.
    Sasikala, S.
    [J]. 2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2021), 2021, : 30 - +
  • [5] An effective face recognition system based on Cloud based IoT with a deep learning model
    Chauhan, Deepika
    Kumar, Ashok
    Bedi, Pradeep
    Athavale, Vijay Anant
    Veeraiah, D.
    Pratap, Boppuru Rudra
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2021, 81
  • [6] Face recognition in the Edge Cloud
    Muslim, Nasif
    Islam, Salekul
    [J]. PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON IMAGING, SIGNAL PROCESSING AND COMMUNICATION, 2015, : 5 - 9
  • [7] Smart farming IoT platform based on edge and cloud computing
    Zamora-Izquierdo, Miguel A.
    Santa, Jose
    Martinez, Juan A.
    Martinez, Vicente
    Skarmeta, Antonio F.
    [J]. BIOSYSTEMS ENGINEERING, 2019, 177 : 4 - 17
  • [8] Edge Computing Architecture for applying AI to IoT
    Calo, Seraphin B.
    Touna, Maroun
    Verma, Dinesh C.
    Cullen, Alan
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, : 3012 - 3016
  • [9] Intelligent Cloud Training System based on Edge Computing and Cloud Computing
    Chen, Zhijia
    Di, Yanqiang
    Yuan, Hongli
    Feng, Shaochong
    [J]. PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, : 1550 - 1553
  • [10] Exploration of police vocational training mode based on face recognition technology in the context of IoT cloud computing
    Yang, Hong
    Li, Yuan
    [J]. SOFT COMPUTING, 2023,
12345