Scalable architecture for an automated surveillance system using edge computing

Over the past few years, the Internet of Things has gone from theoretical concept to our everyday living experience. The explosive growth of sensor streams also leads to a new paradigm of edge computing. In the surveillance system, edge-based automation is crucial to get fast response for fast data...

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Bibliographic Details
Published in:The Journal of supercomputing 2017-03, Vol.73 (3), p.926-939
Main Authors: Park, Hwin Dol, Min, Ok-Gee, Lee, Yong-Ju
Format: Article
Language:English
Subjects:
Analytics
Automation
Compilers
Computer architecture
Computer Science
Digital media
Edge computing
Electronic devices
Interpreters
Processor Architectures
Programming Languages
Response data analysis
Surveillance
Wireless networks
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Summary:Over the past few years, the Internet of Things has gone from theoretical concept to our everyday living experience. The explosive growth of sensor streams also leads to a new paradigm of edge computing. In the surveillance system, edge-based automation is crucial to get fast response for fast data analytics among connected devices. In this paper, we propose an automated surveillance system to improve robustness and intelligence. Our scalable architecture is an alternative way of reducing the server resource and wireless network limitation.
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-016-1750-7