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FlyDVS :
FlyDVS : An Event-Driven Wireless Ultra-Low Power Visual Sensor Node
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Di Mauro, A. (författare)
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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)
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- Institute of Electrical and Electronics Engineers Inc. 2021
- 2021
- Engelska.
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Ingår i: Proceedings -Design, Automation and Test in Europe, DATE. - : Institute of Electrical and Electronics Engineers Inc.. - 9783981926354 ; , s. 1851-1854
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Ämnesord
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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.
Nyckelord
- 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
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