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Remote image capturing with low-cost and low-power wireless camera nodes
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-8382-0359
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-3429-273X
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
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2014 (English)In: Proceedings of IEEE Sensors, IEEE Sensors Council, 2014, 730-733 p., 6985103Conference paper, Published paper (Refereed)
Abstract [en]

Wireless visual sensor networks provide featurerich information about their surrounding and can thus be used as a universal measurement tool for a great number of applications. Existing solutions, however, have mainly been focused on high sample rate applications, such as video surveillance, object detection and tracking. In this paper, we present a wireless camera node architecture that targets low sample rate applications (e.g., manual inspections and meter reading). The major design considerations are a long system lifetime, a small size and a low production cost.We present the overall architecture with its individual design choices, and evaluate the architecture with respect to its application constraints. With a typical image acquisition cost of 1.5 J for medium quality images and a quiescent power demand of only 7 uW, the evaluation results demonstrate that long operation periods of the order of years can be achieved in low sample rate scenarios.

Place, publisher, year, edition, pages
IEEE Sensors Council, 2014. 730-733 p., 6985103
Series
Procedings of IEEE Sensors, ISSN 1930-0395
Keyword [en]
Architecture; Cameras; Digital cameras; Image acquisition; Network architecture; Quality control; Security systems; Sensor networks
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-28858DOI: 10.1109/ICSENS.2014.6985103Scopus ID: 2-s2.0-84931069839OAI: oai:DiVA.org:miun-28858DiVA: diva2:972534
Conference
13th IEEE SENSORS Conference, SENSORS 2014; Valencia Conference CentreValencia; Spain; 2 November 2014 through 5 November 2014; Category numberCFP14SEN-USB; Code 112210
Available from: 2016-09-21 Created: 2016-09-21 Last updated: 2017-06-30Bibliographically approved

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Bader, SebastianKrämer, MatthiasLawal, NajeemO'Nils, MattiasOelmann, Bengt
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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