Operating IR Emitters using Internet Based Teleoperation

Authors

  • Dr. M.Anto Bennet
  • Sudhagar .
  • S. Saran
  • R. Srikanth
  • K. Rahul Bhardwaj

DOI:

https://doi.org/10.14419/ijet.v7i4.6.28927

Keywords:

Raspberry pi, IR transmitter, Thermometer.

Abstract

As we all know that we are slowly moving toward automation and automation is one of the trending topics. So, basically in this design we will be operating the IR emitter using internet based teleoperation. The system will get commands from the raspberry pi and it will control the IR transmitter, according to the input values, set by the user. In this design raspberry pi forms the processing part, which firstly receive the input values from the Wi-Fi connected device and sends it to the IR emitter which emits IR radiation. It is absorbed by a metal (i.e. thermometer) and gets heated. If the melting point of the metal is satisfied, by using a driver element (i.e. resistor), it is maintained constantly. We can change the input values from the Wi-Fi connected device according to the type of metal used.

 

 

References

[1] C. Yang, H. Ma, and M. Fu, Advanced Technologies in Modern Robotic Applications, Singapore: Springer, 2016.

[2] W. He, Y. Chen, and Z. Yin, “Adaptive neural network control of an uncertain robot with full-state constraints,†IEEE Trans. Cybern., vol. 46,no. 3, pp. 620–629, Mar. 2016.

[3] Y.-J. Liu, S. Tong, C. L. P. Chen, and D. J. Li, “Neural controller design based adaptive control for nonlinear MIMO systems with unknown hysteresis inputs, â€IEEE Trans. Cybern., vol. 46, no. 1, pp. 9–19,Jan. 2016. M.

[4] Shahbazi et al., “Novel cooperative teleoperation framework MultiMate/single-slave system,†IEEE/ASME Transactions on Mechatronics, vol. 20,no. 4, pp. 1668–1679, 2015.

[5] R. Muradore and P. Fiorini, ``A review of bilateral teleoperation algorithms,'' Acta Polytech. Hung., vol. 13, no. 1, pp. 191208, 2016.

[6] Dr. AntoBennet, M, Sankar Babu G, Natarajan S, “Reverse Room Techniques for Irreversible Data Hidingâ€, Journal of Chemical and Pharmaceutical Sciences 08(03): 469-475, September 2015.

[7] Dr. AntoBennet, M , Sankaranarayanan S, Sankar Babu G, “ Performance & Analysis of Effective Iris Recognition System Using Independent Component Analysisâ€, Journal of Chemical and Pharmaceutical Sciences 08(03): 571-576, August 2015.

[8] Dr. AntoBennet, M, Suresh R, Mohamed Sulaiman S, “Performance &analysis of automated removal of head movement artifacts in EEG using brain computer interfaceâ€, Journal of Chemical and Pharmaceutical Research 07(08): 291-299, August 2015.

[9] .Dr. AntoBennet, M “A Novel Effective Refined Histogram For Supervised Texure Classificationâ€, International Journal of Computer & Modern Technology , Issue 01 ,Volume02 ,pp 67-73, June 2015.

[10] Dr. AntoBennet, M, Srinath R,Raisha Banu A,“Development of Deblocking Architectures for block artifact reduction in videosâ€, International Journal of Applied Engineering Research,Volume 10, Number 09 (2015) pp. 6985-6991, April 2015.

[11] AntoBennet, M & JacobRaglend, “Performance Analysis Of Filtering Schedule Using Deblocking Filter For The Reduction Of Block Artifacts From MPEQ Compressed Document Imagesâ€, Journal of Computer Science, vol. 8, no. 9, pp. 1447-1454, 2012.

[12] AntoBennet, M & JacobRaglend, “Performance Analysis of Block Artifact Reduction Scheme Using Pseudo Random Noise Mask Filteringâ€, European Journal of Scientific Research, vol. 66 no.1, pp.120-129, 2011.

View Full Article: