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Sökning: id:"swepub:oai:DiVA.org:miun-43093" > FlyDVS :

  • Di Mauro, A. (författare)

FlyDVS : An Event-Driven Wireless Ultra-Low Power Visual Sensor Node

  • Artikel/kapitelEngelska2021

Förlag, utgivningsår, omfång ...

  • Institute of Electrical and Electronics Engineers Inc.2021
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:miun-43093
  • https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-43093URI
  • https://doi.org/10.23919/DATE51398.2021.9474260DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:kon swepub-publicationtype

Anmärkningar

  • Export Date: 20 September 2021; Conference Paper
  • 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.

Ämnesord och genrebeteckningar

  • 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

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Scherer, M. (författare)
  • Mas, J. F. (författare)
  • Bougenot, B. (författare)
  • Magno, M. (författare)
  • Benini, L. (författare)

Sammanhörande titlar

  • Ingår i:Proceedings -Design, Automation and Test in Europe, DATE: Institute of Electrical and Electronics Engineers Inc., s. 1851-18549783981926354

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