A Raspberry Pi Based Portable Endoscopic 3D Measurement System
Institute of measurement and automatic control, Nienburger Straße 17, Leibniz Universität Hannover, 30167 Hannover, Germany
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Academic Editors: Simon J. Cox and Steven J. Johnston
Electronics 2016, 5(3), 43; https://doi.org/10.3390/electronics5030043
Received: 29 April 2016 / Revised: 15 July 2016 / Accepted: 18 July 2016 / Published: 26 July 2016
(This article belongs to the Special Issue Raspberry Pi Technology)
Geometry measurements are very important to monitor a machine part’s health and performance. Optical measurement system have several advantages for the acquisition of a parts geometry: measurement speed, precision, point density and contactless operation. Measuring parts inside of assembled machines is also desirable to keep maintenance cost low. The Raspberry Pi is a small and cost efficient computer that creates new opportunities for compact measurement systems. We have developed a fringe projection system which is capable of measuring in very limited space. A Raspberry Pi 2 is used to generate the projection patterns, acquire the image and reconstruct the geometry. Together with a small LED projector, the measurement system is small and easy to handle. It consists of off-the-shelf products which are nonetheless capable of measuring with an uncertainty of less than 100 μ .
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Keywords:
measurement; endoscopy; fringe projection; triangulation; optics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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Externally hosted supplementary file 1
Doi: 10.6084/m9.figshare.3487112.v1
Link: https://figshare.com/articles/MEASUREMENT_DATA_VIBOSCOP_zip/3487112
Description: Measurement data: point clouds measured with the borescopic fringe projection system Viboscop(TM)
MDPI and ACS Style
Schlobohm, J.; Pösch, A.; Reithmeier, E. A Raspberry Pi Based Portable Endoscopic 3D Measurement System. Electronics 2016, 5, 43.
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