Experiments in Fluids

, 51:1465 | Cite as

Toward real-time particle tracking using an event-based dynamic vision sensor

  • David Drazen
  • Patrick Lichtsteiner
  • Philipp Häfliger
  • Tobi Delbrück
  • Atle Jensen
Letter

Abstract

Optically based measurements in high Reynolds number fluid flows often require high-speed imaging techniques. These cameras typically record data internally and thus are limited by the amount of onboard memory available. A novel camera technology for use in particle tracking velocimetry is presented in this paper. This technology consists of a dynamic vision sensor in which pixels operate in parallel, transmitting asynchronous events only when relative changes in intensity of approximately 10% are encountered with a temporal resolution of 1 μs. This results in a recording system whose data storage and bandwidth requirements are about 100 times smaller than a typical high-speed image sensor. Post-processing times of data collected from this sensor also increase to about 10 times faster than real time. We present a proof-of-concept study comparing this novel sensor with a high-speed CMOS camera capable of recording up to 2,000 fps at 1,024 × 1,024 pixels. Comparisons are made in the ability of each system to track dense (ρ >1 g/cm3) particles in a solid–liquid two-phase pipe flow. Reynolds numbers based on the bulk velocity and pipe diameter up to 100,000 are investigated.

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • David Drazen
    • 1
    • 4
  • Patrick Lichtsteiner
    • 2
  • Philipp Häfliger
    • 3
  • Tobi Delbrück
    • 2
  • Atle Jensen
    • 1
  1. 1.Department of MathematicsUniversity of Oslo OsloNorway
  2. 2.Institute of NeuroinformaticsUniversity of Zürich and ETH ZürichZürichSwitzerland
  3. 3.Department of InformaticsUniversity of OsloOsloNorway
  4. 4.Naval Surface Warfare Center, Carderock DivisionWest BethesdaUSA

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