Development of real-time Internet of Things motion detection platform applying non-contact sensor based on open source hardware
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 T...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720944024 |
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| Summary: | 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. |
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| ISSN: | 1550-1477 |