Advertisement

Detection of Objects and Evaluation with the IO Link Using Miniature Laser Sensor - A Review

  • R. DivyaEmail author
  • R. Chinnaiyan
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)

Abstract

The detection of objects and evaluations of objects has a greater application in the industrial automation. The miniature laser sensors are on the ease of use device for the industries, laser measurement sensors type and application that are relying on this laser sensors. The detection of the objection and gaps with the IO link integration is possible only with this miniature laser sensors, the objects are precisely detected with the help of the ultra-miniature laser device. The development of this devices is basically an revolution in the field of sensors for better of the work environment that can be applied to the real life work ease for all the application to the aerospace, agriculture, construction, cargo transportation, energy-power and natural resources which will help to do the large volume of the crash test sensors, depth of water on a test track, aerial and UAV’s, displacement measurement, height-position-thickness-length measurements. Hence these miniature laser sensors have a newer range and high accuracy for sensing any objects when its applied on.

References

  1. 1.
    Konolige, K., Augenbraun, J., Donaldson, N., Fiebig, C., Shah, P.: A low-cost laser distance sensor. In: IEEE International Conference on Robotics and Automation Pasadena, CA, USA, 19–23 May 2008Google Scholar
  2. 2.
    Modarress, D., Fourguette, D., Tuagwalder, F., Gharib, V., Forouhar, S., Wilson, D., Scalf, J.: Miniature and Micro-Doppler Sensors VioSense Corporation, Altadena, CA, USAGoogle Scholar
  3. 3.
    Frish, M.B.: Current and emerging laser sensors for greenhouse gas sensing and leak detection Physical Sciences Inc., 20 New England Business Center, Andover, MA, USA. 01810–1077Google Scholar
  4. 4.
    Welch, S.S.: Effects of window size and shape on accuracy of subpixel centroid estimation of target images. NASA Technical Paper 3331 (1993)Google Scholar
  5. 5.
    Zunino, G.: Simultaneous localization and mapping for navigation in realistic environments. Lic. Thesis, KTH, Stockholm (2002)Google Scholar
  6. 6.
    Sonnenfroh, D.M., Frish, M.B., Wainner, R.T., Allen, M.G.: Mid-IR Quantum Cascade Laser Sensor for Tropospherically Important Trace Gases, Final Report prepared for U.S. Environmental Protection Agency under Order No. 4C-R348-NASA, PSI-2857/TR-1971, 12–13 November 2004Google Scholar
  7. 7.
    Digi key’s “use IO-link transceivers to cut the power, boost performance and simplify development” American editor (2017)Google Scholar
  8. 8.
  9. 9.
  10. 10.
    Chinnaiyan, R., Kumar, A.: Estimation of optimal path in wireless sensor networks based on adjancy list. In: 2017 IEEE International Conference on Telecommunication, Power Analysis and Computing Techniques (ICTPACT-2017). IEEE 978-1-5090-3381-2, 6–8 April 2017Google Scholar
  11. 11.
    Divya, R., Chinnaiyan, R., Ilango, V.: Reliability evaluation of wireless sensor networks- a review. Int. J. Eng. Sci. Res. Technol. 5(12), 598–604 (2016)Google Scholar
  12. 12.
    Divya, R., Chinnaiyan, R.: Reliability evaluation of wireless sensor networks (REWSN). In: International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 847–852. IEEE (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Master of Computer ApplicationNew Horizon College of EngineeringBengaluruIndia

Personalised recommendations