Abstract
Video surveillance plays an important role in society, even though current systems are expensive, proprietary, and lack the portability to be useful in small-scale scenarios. In contrast, cheap Single Board Computers (SBCs) are easily deployed and integrated into existing Internet of Things networks, where sensor nodes can trigger various actors. Besides proprietary video transmission tools, the WebRTC framework enables access to Peer-to-Peer communications by all commonly available web browsers. By connecting these two paradigms, sensor nodes can detect predefined events and notify users with an announcement of an easily accessible video stream recorded by a cost efficient camera node.
We are exploiting the video streaming capabilities of a popular SBC model, the Raspberry Pi, and evaluate the expected Quality of Experience in combination with the stream’s resource utilization on the source node. The trial framework is made publicly available to conduct measurements on any upcoming hardware platform. Finally, we provide a prototype of a sensor-triggered video surveillance system based on container virtualization. Any user interacts with it by a state-of-the-art browser and every system administrator easily initiates the open-sourced system by running our micro-service stack.
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References
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Acknowledgment
Mrs. Krolikowsky and Mr. Klinger contributed to the codec evaluation and enhanced the WebRTC prototypes developed by Mr. Sarkar, while they were working with the Computer Networks group at the University of Bamberg. The authors are very much indebted to their efforts for the implementation and publication of the measurement platform, as well as, the first prototype of the web-based surveillance system.
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Großmann, M., Klinger, L., Krolikowsky, V., Sarkar, C. (2023). Efficient Internet of Things Surveillance Systems in Edge Computing Environments. In: Krieger, U.R., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2023. Communications in Computer and Information Science, vol 1876. Springer, Cham. https://doi.org/10.1007/978-3-031-40852-6_16
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