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Vol. 93, Issue 6, June 2008, pp.57-68

 

 

Bullet

Color Signature of Current: a Novel Concept for Current Level Indication

 

Sarbani CHAKRABORTY, Satish Chandra BERA*

 

Department of Electrical and Electronics Engineering, Birla Institute of Technology,

Mesra, Ranchi-835215, Jharkhand, India,

E-mail: sarbaniry@yahoo.com, schakraborty@bitmesra.ac.in

*Instrumentation Engineering Section, Department of Applied Physics,

University of Calcutta, 92 APC Road, Calcutta 700009, India

E-mail: scb152@indiatimes.com

 

 

Received:  20 April 2008   /Accepted: 24 June 2008   /Published: 30 June 2008

 

Abstract: When a polarized polychromatic beam passes through a magneto-optic medium placed in a magnetic field the constituent spectral components suffer different amount of Faraday rotation due to wavelength dependent Verdet constant. As a result, the change in the color of the resultant beam with the change of the magnetic flux density or current level (linearly related to magnetic flux density) can be detected when it passes through an analyzer. The color of the resultant beam depends on the magnetic flux density, orientation of the transmission axis of the analyzer, state of polarization of the input polarized polychromatic beam, the spectral intensity distribution of the source and the polarization properties of the Faraday medium and other optical components involved in the system. In the present article the theoretical study of color difference in CIELAB color space shows considerable color change with the change in current strength passing through a solenoid coil where the input light is linearly polarized polychromatic beam passing through a magneto-optic (Terbium Doped Glass (TDG)) medium placed inside the solenoid coil. Considering the limitations of experimental determination of color difference in CIELAB space, a color matching scheme is developed in HSL color space for fast detection of current level. This scheme is envisaged to be suitable for detection of current level within stipulated tolerance by utilizing color image processing techniques in machine vision applications.

 

Keywords: Polarization, Polychromaticity, Magneto-optic element, Color image processing, Machine Vision

 

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