Development of real-time Internet of Things motion detection platform applying non-contact sensor based on open source hardware

被引:3
作者
Kim, Jung Woo [1 ]
Sul, Sang Hun [1 ]
Choi, Jae Boong [1 ,2 ]
机构
[1] Sungkyunkwan Univ, Dept Serv Design Convergence, Suwon, South Korea
[2] Sungkyunkwan Univ, Dept Mech Engn, Nat Sci Campus,2066,Seobu Ro, Suwon 440746, Gyeonggi Do, South Korea
基金
新加坡国家研究基金会;
关键词
Internet of Things; real-time Internet of Things motion detection platform; non-contact sensor module; motion recognition visualization printed circuit board module; real-time Internet of Things motion detection monitoring system; PRODUCTS;
D O I
10.1177/1550147720944024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, Internet-based devices have evolved into platforms for new networks, with Internet of Things technology being applied in various areas. The expansion of scope of this technology and exchange of real-time information enables users to check their content whenever. The real-time Internet of Things motion detection platform has been developed to detect and monitor users in installed spaces. In this article, the real-time Internet of Things motion detection platform utilizes a non-contact sensor module and motion recovery printed circuit board module to quickly respond to emergency situations through real-time monitoring. This is visualized on the display by sending data extracted from the motion recovery printed circuit board module combined with open source hardware by the non-contact sensor module receiving information from smartphone users. The administrator's display continuously analyzes real-time moving objects by detecting them with respect to location coordinates and providing automatically recognized data to the cloud server. In addition, real-time Internet of Things motion detection monitoring system was configured to quickly respond to real-time alerts and effectively manage problems. Therefore, installing real-time Internet of Things motion detection platform at an actual site will enable quick resolving of emergency situations through information provision and user awareness monitoring.
引用
收藏
页数:20
相关论文
共 32 条
  • [31] Weiss JD, 2017, INT C GRID CLOUD CLU, P59
  • [32] Yu H., 2015, IEEE T COMPUT, VPP, P1, DOI [10.1109/TC.2015.2389827, DOI 10.1016/j.giq.2006.04.004]