Color Detection using Arduino

Presented by

Mr. Rushikesh Maruti Mane

(PRN No.1930331372116)

Mr. Aditya Kiran Pimple

(PRN No.1930331372104)

Under the guidance of

Mr. Roshan Bonde

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Electronics And Telecommunication Engineering

Dr. Babasaheb Ambedkar Technological University,

Lonere-402103

2021-22

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A Presentation on

Contents

• Introduction
• Circuit Diagram
• Components Used
• Working
• Result
• Future Scope
• Applications
• Conclusion
• Reference

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Introduction

• Mixing of primary Colors in various proportions to get different shades have been a requirement and curiosity from the very beginning
• The machine is capable of telling the proportion of Color components Colors in that shade taking one base Color to be mixed with specified amount of strainer.
• The present work is based on three primary Colors Red, Green and Blue and is based upon sensing the given shade with the help of TCS 3200 Color Sensor.
• The sensor senses the Color and sends this information to the microprocessor, which as per the programming code interprets the input from the sensor.

Circuit Diagram

Fig. Circuit Diagram

Components Used

Arduino :

Arduino Uno is a low-cost, flexible, and easy-to-use programmable open-source microcontroller board that can be integrated into a variety of electronic projects.

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Fig. Arduino

TCS3200 SENSOR

• Different Colors have different wavelengths.
• It has photodiodes.
• We can read the output values of sensor with the help of Arduino.

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Fig. TCS3200

16X2 LCD

• LCD displays the output which we get from the Arduino.
• Liquid Crystal Library allows you to control LCD display.

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Fig. 16X2 LCD

Working

• In this project, Color Sensor TCS3200 module is used for detecting the percentage of primary Colors and Colors that are physically available in a RGB LED and that will be displayed on a 16X2 LCD Module.
• When a Colored object is lighted with white light, it reflects only fractions of the primary Colors of the incident light i.e., R, G and B.
• This sensor can be used to identify any number of Colors with an accurate programming code.
• A given object can be or cannot be recognized by the sensor in function of its relative position from the sensor.
• So the values of RGB detected by Color Sensor in the square waves is sent to the Arduino.
• Arduino can read this waves and convert them into the appropriate RGB integer values.
• These values can be displayed on the LCD screen with the coding modification.

Result

• Here we are showing the result of detecting the RED color and showing it on the LCD.

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Fig. LCD Displaying the Color

Result

• Outputs:

Fig. Result

Future Scope

• The color detection sensor market was valued at USD 1.77 billion in 2020 and is expected to reach USD 2.91 billion by 2026 and work at a CAGR of 8.68% over the forecast period.
• Color sensors distinguish between natural and artificial light.
• This information will enable the controller or operator to see not only what color is detected, but also how much color is present.

Applications:

• It helps in sorting of objects based on three color approach.
• Powerful and large memory color sensor ICs are available at low cost.
• It is easy to change or modify manufacturing setups without even re-programing the sensor device
• With the color intensity data, color sensor controller can store and can make color matching decisions on unlimited number of colors virtually.

Conclusion

• The present work on the development of the Color detection and analyzing system has been tested and can be used for developing desired shades of Color as per the sample shade. This may prove to be useful for paint and dye industries. The developed system determines the percentage of Red, Blue and Green Colors in the sample shades. This information was further used to calculate the amount of these Colors in any mixture of the given sample. It can be used on the high level in the industries

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REFERENCE

• [1] Daud, N.B., “Application of Colors Sensor In An Automated System”, Technical University Malaysia, Melaka,May 2007.
• [2] “Reflective Color Sensing with Avago Technologies” RGB Color Sensor, 2005.
• [3] “Understanding Avago Technologies RGB Color Sensors”, Publication number: AV01-0444EN.
• [4] Texas Advanced Optoelectronic Solutions (TAOS009 – July 2009)
• [5] Color Sensor–Digital Color Sensor IC–TCS3414 Ams. (Accessed on 16 February 2014).
• [6] SensorWiki, Z., Acrob041 “Color Sensor TCS230”
• [7] Pardo, P.J., Pérez, A.L., Suero, M.I., Chromatic characterization of a three - channel Colorimeter using back-propagation neural networks. Rev. Sci. Instrum. 2004, 75, 2876–2879. [8] D. Raja. 2016. Light Intensity Measurement Using LDR and AVR Microcontroller.
• [9] RGB Color Codes Chart (n.d.)

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