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FlyDVS: An Event-Driven Wireless Ultra-Low Power Visual Sensor Node
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2021 (English)In: Proceedings -Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc. , 2021, p. 1851-1854Conference paper (Refereed)
Abstract [en]

Event-based cameras, also called dynamic vision sensors (DVS), inspired by the human vision system, are gaining popularity due to their potential energy-saving since they generate asynchronous events only from the pixels changes in the field of view. Unfortunately, in most current uses, data acquisition, processing, and streaming of data from event-based cameras are performed by power-hungry hardware, mainly high-power FPGAs. For this reason, the overall power consumption of an event-based system that includes digital capture and streaming of events, is in the order of hundreds of milliwatts or even watts, reducing significantly usability in real-life low-power applications such as wearable devices. This work presents FlyDVS, the first event-driven wireless ultra-low-power visual sensor node that includes a low-power Lattice FPGA and, a Bluetooth wireless system-on-chip, and hosts a commercial ultra-low-power DVS camera module. Experimental results show that the low-power FPGA can reach up to 874 efps (event-frames per second) with only 17.6mW of power, and the sensor node consumes an overall power of 35.5 mW (including wireless streaming) at 200 efps. We demonstrate FlyDVS in a real-life scenario, namely, to acquire event frames of a gesture recognition data set. © 2021 EDAA.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021. p. 1851-1854
Keywords [en]
Bluetooth Low Energy, Brain-Inspired Sensor, edge device, Event-based camera, FPGA, Low power Design, ULP, Cameras, Data acquisition, Digital devices, Energy conservation, Field programmable gate arrays (FPGA), Motion compensation, Potential energy, Sensor nodes, System-on-chip, Voltage scaling, Asynchronous event, Dynamic vision sensors, Event-based system, Human vision systems, Low power application, Low-power FPGAs, Wearable devices, Wireless systems, Data handling
Identifiers
URN: urn:nbn:se:miun:diva-43093DOI: 10.23919/DATE51398.2021.9474260Scopus ID: 2-s2.0-85111051656ISBN: 9783981926354 (print)OAI: oai:DiVA.org:miun-43093DiVA, id: diva2:1595706
Note

Export Date: 20 September 2021; Conference Paper

Available from: 2021-09-20 Created: 2021-09-20 Last updated: 2021-09-20Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf