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Remote image capturing with low-cost and low-power wireless camera nodes
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0002-8382-0359
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0002-3429-273X
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.
Vise andre og tillknytning
2014 (engelsk)Inngår i: Proceedings of IEEE Sensors, IEEE Sensors Council, 2014, s. 730-733, artikkel-id 6985103Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE Sensors Council, 2014. s. 730-733, artikkel-id 6985103
Serie
Procedings of IEEE Sensors, ISSN 1930-0395
Emneord [en]
Architecture; Cameras; Digital cameras; Image acquisition; Network architecture; Quality control; Security systems; Sensor networks
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-28858DOI: 10.1109/ICSENS.2014.6985103Scopus ID: 2-s2.0-84931069839OAI: oai:DiVA.org:miun-28858DiVA, id: diva2:972534
Konferanse
13th IEEE SENSORS Conference, SENSORS 2014; Valencia Conference CentreValencia; Spain; 2 November 2014 through 5 November 2014; Category numberCFP14SEN-USB; Code 112210
Tilgjengelig fra: 2016-09-21 Laget: 2016-09-21 Sist oppdatert: 2017-06-30bibliografisk kontrollert

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

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