Monday 16 November 2015

All Color Detector Sensor AR001

IJSRD : International Journal for Scientific Research & Development

Author(s):

Aditya Kumar , DIT University Dehradun; Vivek Kumar, DIT University Dehradun; Sandeep Sharma, DIT University Dehradun; Vimal Kant Pandey, DIT University Dehradun

Keywords:

Color Detector Sensor, Color sensing, AR001

Abstract

The objective of the present paper is to explore an approach of constructing a simple, low cost colour sensor using filter model which defines all colours as an additive combination of the primary colours Red, Green and Blue. The sensor consists of low pass filter surrounded by all color and light source. The low pass filter and the amplifier are mounted in such a way so that the color intensity from the source get absorbed by low pass filter and its passes through amplifier circuits. Therefore the voltage drop across the amplifier is varied whenever the light of different intensities from the low pass filter falls upon it. According to the voltage drop we decide the color identity because we know that every color has own intensity that why its produce specific voltage drop. The experimental results show that the variation of the color intensity gives the color identity.

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1.INTRODUCTION:

Color sensing is one of the important subjects of optical sensors. Color sensors have a variety of applications including detection of environmental, biological, and chemical parameters and in future its also use in robot as a eye. Color detectionbased chemical sensing is mostly implemented with particular emphasis on colorimetric sensors because many parameters, like pH, concentration, and chemical gases can cause direct or indirect color changes in biological and chemical species.

Optical sensors usually have a non-linear relationship between the sensor’s response and the effect to be sensed or the measured. Due to the fact that optical sensors have highly sensitive and non-linear nature, an unexpected change in the measured may cause considerably changes and measurement errors in the sensor’s responses. Furthermore, it is expected that in modern sensor technology, a sensor has to adapt itself to the changing or unexpected conditions. In order to meet the expectations and to predict the sensor’s response more accurately, filter techniques become a useful tool for the design of intelligent color sensors.

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