A Battery-Free Long-Range Wireless Smart Camera for Face Detection
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Date
2020-11
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
This paper presents a battery-free smart camera that combines tiny machine learning, long-range communication, power management, and energy harvesting. The smart sensor node has been implemented and evaluated in the field, showing both battery-less capabilities with a small-size photovoltaic panel and the energy efficiency of the proposed solution. We evaluated two different ARM Cortex-M4F microcontrollers, the Ambiq Apollo 3 that is an energy-efficient microcontroller, and a Microchip SAMD51 able to work in high radiation environments but with a higher power in active mode. Finally, a low power LoRa module provides the long-range wireless transmission capability. The tiny machine learning algorithm for face recognition has been optimized in terms of accuracy versus energy, achieving up to 97% accuracy recognizing five different faces. Experimental results demonstrated the capability of the developed sensor node to start from the cold start after 1 minute at a very low luminosity of 350 lux using a cm size flexible photovoltaic panels and work perpetually after the cold start. © 2020 Association for Computing Machinery.
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Publication status
published
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Editor
Book title
ENSsys '20: Proceedings of the 8th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems
Journal / series
Volume
Pages / Article No.
29 - 35
Publisher
Association for Computing Machinery
Event
8th International Workshop on Energy Harvesting & Energy-Neutral Sensing System (ENSsys 2020)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Battery-Free; Smart Sensors; Smart Camera; Energy Harvesting; Power Management; Low Power Design; Tiny Machine Learning
Organisational unit
03996 - Benini, Luca / Benini, Luca
01225 - D-ITET Zentr. f. projektbasiertes Lernen / D-ITET Center for Project-Based Learning
Notes
Due to the Coronavirus (COVID-19) the conference was conducted virtually.