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FlyDVS :
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Di Mauro, A.
(författare)
FlyDVS : An Event-Driven Wireless Ultra-Low Power Visual Sensor Node
- Artikel/kapitelEngelska2021
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Institute of Electrical and Electronics Engineers Inc.2021
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LIBRIS-ID:oai:DiVA.org:miun-43093
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https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-43093URI
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https://doi.org/10.23919/DATE51398.2021.9474260DOI
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Språk:engelska
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Sammanfattning på:engelska
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Export Date: 20 September 2021; Conference Paper
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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
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Bluetooth Low Energy
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Brain-Inspired Sensor
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edge device
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Event-based camera
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FPGA
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Low power Design
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ULP
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Cameras
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Data acquisition
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Digital devices
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Energy conservation
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Field programmable gate arrays (FPGA)
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Motion compensation
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Potential energy
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Sensor nodes
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System-on-chip
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Voltage scaling
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Asynchronous event
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Dynamic vision sensors
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Event-based system
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Human vision systems
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Low power application
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Low-power FPGAs
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Wearable devices
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Wireless systems
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Data handling
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Scherer, M.
(författare)
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Mas, J. F.
(författare)
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Bougenot, B.
(författare)
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Magno, M.
(författare)
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Benini, L.
(författare)
Sammanhörande titlar
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Ingår i:Proceedings -Design, Automation and Test in Europe, DATE: Institute of Electrical and Electronics Engineers Inc., s. 1851-18549783981926354
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