Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
A Battery-Free Long-Range Wireless Smart Camera for Face Detection
2020 (English)In: Proceedings, Association for Computing Machinery, Inc , 2020, p. 29-35Conference paper, Published paper (Refereed)
Abstract [en]

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 ACM.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2020. p. 29-35
Keywords [en]
Battery-Free, Energy Harvesting, Low Power Design, Power Management, Smart Camera, Smart Sensors, Tiny Machine Learning, Cameras, Electric batteries, Energy efficiency, Learning algorithms, Machine learning, Microcontrollers, Photovoltaic cells, Sensor nodes, Arm cortices, Battery-less, Energy efficient, High radiation environment, Long-range communications, Photovoltaic panels, Smart cameras, Wireless transmissions, Face recognition
Identifiers
URN: urn:nbn:se:miun:diva-41571DOI: 10.1145/3417308.3430273Scopus ID: 2-s2.0-85097446369ISBN: 9781450381291 (print)OAI: oai:DiVA.org:miun-41571DiVA, id: diva2:1536178
Conference
ENSsys 2020 T - Proceedings of he 8th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems
Available from: 2021-03-10 Created: 2021-03-10 Last updated: 2021-04-30Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Magno, M.

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
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