WideVision: A Low-Power, Multi-Protocol Wireless Vision Platform for Distributed Surveillance
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Autor(in)
Alle anzeigen
Datum
2022Typ
- Conference Paper
ETH Bibliographie
yes
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Abstract
The trend in Internet of Things research points toward performing increasingly compute-intensive data analysis tasks on embedded sensor nodes, rather than server centers. Exploiting the technological advances in both energy efficiency, and Tiny Machine Learning algorithms and methods, an increasing number of recognition and classification tasks can be performed by small, low-power, wireless sensor nodes. This paper presents WideVision, a wireless, wide-area sensing platform capable of performing on-board person detection with power requirements in the mW range. The WideVision platform integrates seamlessly into the Internet of Things, by coupling a dedicated multiradio platform, including a LoRa interface, enabling medium and long-range communication, with a novel parallel RISC-V microcontroller. We evaluate the proposed platform with the GAP8 microcontroller, which includes an 8-core RISC-V cluster, and greyscale camera to perform person detection by training and deploying an advanced, quantized neural network, achieving a statistical accuracy 84.5% for a 5-person detection task with a latency of only 182 ms. Experimental results demonstrate that the WideVision sensor node platform while performing inference at a rate of one image per minute on-board, is capable of lasting 300 days on a 2400 mAh Li-ion battery, and 65 days when evaluating one image per 10 seconds while providing effective surveillance of its perimeter. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000580053Publikationsstatus
publishedExterne Links
Buchtitel
2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)Seiten / Artikelnummer
Verlag
IEEEKonferenz
Organisationseinheit
03996 - Benini, Luca / Benini, Luca
ETH Bibliographie
yes
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