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A 3D Scanner Based on Virtual Instrumentation Implemented by a 1D Laser Triangulation Method

  • Jindrich BrablikEmail author
  • Radek Martinek
  • Marek Haluska
  • Petr Bilík
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 554)

Abstract

This paper deals with the design and implementation of a 3D scanner based on 1D laser triangulation method. Virtual instrumentation principles and tools were used in the design. NI myRIO embedded device was utilized to control the scanner hardware and graphical development environment LabVIEW was used to develop a control application for the scanner and to develop GUI for a PC platform. Purpose of implemented scanner is to demonstrate the principle of 3D scanners and 1D laser triangulation method to students of virtual instrumentation class. First part of this paper provides concise theoretical information about 3D scanners, 1D laser triangulation method and virtual instrumentation principles. Second part focuses on mechanical, hardware and software design and implementation of realized scanner.

Keywords

3D scanner Virtual instrumentation 1D laser triangulation NI myRIO LabVIEW 

References

  1. 1.
    Daneshmand, M., Helmi, A., Avots, E. et al.: 3D scanning: a comprehensive survey. Comput.Res. Repository, abs/1801.08863 (2018)Google Scholar
  2. 2.
    Ebrahim, M.: 3D laser scanners’ techniques overview. Int. J. Sci. Res. 4(10), 5–611 (2015)Google Scholar
  3. 3.
    Montilla, M., Orjuela-Vargas, S.S., Philips, W.: State of the art of 3D scanning systems and inspection of textile surfaces. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 9018 (2014).  https://doi.org/10.1117/12.2042552. author, F.: Contribution title. In: 9th International Proceedings on Proceedings, pp. 1–2. Publisher, Location (2010)
  4. 4.
    Chromy, A.: Application of high-resolution 3D scanning in medical volumetry. Int. J. Electron. Telecommun. 62(1), 23–31 (2016)CrossRefGoogle Scholar
  5. 5.
    Acost, D., Garcia, O., Aponte, J.: Laser triangulation for shape acquisition in a 3D scanner plus scan. In: Electronics, Robotics and Automotive Mechanics Conference (CERMA 2006), Cuernavaca, pp. 14–19 (2006).  https://doi.org/10.1109/cerma.2006.54
  6. 6.
    Jezersek, M., Flezar, M., Mozina, J.: Laser multiple line triangulation system for real-time 3-D monitoring of chest wall during breathing. Strojniski Vestnik 54, 503–506 (2008)Google Scholar
  7. 7.
    Ebrahim, M.: 3D Laser Scanners: History, Applications, and Future.  https://doi.org/10.13140/2.1.3331.3284
  8. 8.
    Wulf, O., Wagnr, B.: Fast 3D Scanning Methods for Laser Measurement Systems (2003)Google Scholar
  9. 9.
    Al-Sharif, L.: Three dimensional scanner using laser triangulation technology. In: 23rd Canadian Congress of Applied Mechanics (2011)Google Scholar
  10. 10.
    Mikulski, S.: Laser triangulation in three-dimensional scanners. Comput. Appl. Electr. Eng. 11 (2013).  https://doi.org/10.21008/j.1508-4248, ISSN: 1508-4248
  11. 11.
    Hao, L.: 3D Scanning USA: University of Southern California Department of Computer Science. http://www.hao-li.com/cs599-ss2015/slides/Lecture04.2.pdf
  12. 12.
    Blais, F.: Review of 20 years of range sensor development. J. Electron. Imaging 13, 231–243 (2004).  https://doi.org/10.1117/1.1631921CrossRefGoogle Scholar
  13. 13.
    Obrenovic, Z., Starcvic, D., Jovanov, E.: Virtual Instrumentation. Wiley encyclopedia of Biomedical Engineering (2006)Google Scholar
  14. 14.
    Dorsh, R.G., Husler, G., Herrman, J.R.: Laser triangulation: fundamental uncertainty in distance measurement. Appl. Opt. 33(7), 1306 (1994).  https://doi.org/10.1364/A0.33.001306CrossRefGoogle Scholar
  15. 15.
    Reyes, A.L., Cervantes, J.M., Gutirrez, N.C.: Low cost 3D scanner by means of 1D optical sensor. Procedia Technol. 7, 223–230 (2013)CrossRefGoogle Scholar
  16. 16.
    Rocchini, C., Cignoni, P., Montani, C., Pingi, P., Scopigno, R.: A low cost 3D scanner based on structured light. Comput. Graph. Forum 20, 299–308 (2001).  https://doi.org/10.1111/1467-8659.00522
  17. 17.
    Amann, M.C., Bosch, T., Lescure, M., Myllylä, R., Rioux, M.: Laser ranging: a critical review of usual techniques for distance measurement. Opt. Eng. 40, 10–19 (2001).  https://doi.org/10.1117/1.1330700CrossRefGoogle Scholar
  18. 18.
    Xianyu, S., Qican, Z.: Dynamic 3-D shape measurement method: a review. Opt. Lasers Eng. 48, 191–204 (2009).  https://doi.org/10.1016/joptlasng.2009.03.012
  19. 19.
    Chen, F., Brown, G.M., Song, M.: Overview of three-dimensional shape measurement using optical methods. Opt. Eng. 39, 10–22 (2000).  https://doi.org/10.1117/1.602438CrossRefGoogle Scholar
  20. 20.
    Sansoni, G., Trebeschi, M., Docchio, F.: State-of-the-art and applications of 3d imaging sensors in industry, cultural heritage, medicine, and criminal investigation. Sensors (Basel, Switzerland) 9(1), 568–601 (2009).  https://doi.org/10.3390/s90100568CrossRefGoogle Scholar
  21. 21.
    Cui, Y., Schuon, S., Chan, D., Thrun, S., Theobalt, C.: 3D shape scanning with a time-of-flight camera. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, pp. 1173–1180 (2010).  https://doi.org/10.1109/CVPR.2010.5540082

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jindrich Brablik
    • 1
    Email author
  • Radek Martinek
    • 1
  • Marek Haluska
    • 1
  • Petr Bilík
    • 1
  1. 1.Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstravaCzech Republic

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