• B JAYARAMAN
• Ganesh Kutty.S
• Gokulakrishnan M
• K. MAHALAKSHMI

The technique was designed to accurately identify primary colors and to show the results in an easy-to-read manner.An Arduino UNO was used to link the TCS3200 colour sensor in order to build a colour detection system, and MATLAB was added for data visualization.MATLAB was first configured to communicate with the Arduino through the connection of the TCS3200 sensor to the Arduino. To receive colour frequencies from objects in front of the sensor, convert those colors into values, and then send the data to MATLAB, an Arduino script was developed. After colour data was received, a MATLAB script was used to identify and display the detected colour.The solutions were detection algorithm refinement, serial communication optimization, and dynamic calibration methods. After more tweaks, the system's accuracy and responsiveness were enhanced, confirming in testing that it could recognize primary colors. With potential uses in sorting systems and quality control, this research illustrates a useful method for colour detection. In the future, more sophisticated algorithms and machine learning may be used for more accurate colour identification.

Arduino UNO, TCS3200 color sensor, Color detection, MATLAB Integration, Real-time processing, Detection accuracy

"COLOR DETECTION USING ARDUINO IN MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.o488-o492, May-2024, Available :http://www.jetir.org/papers/JETIR2405F54.pdf

"COLOR DETECTION USING ARDUINO IN MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppo488-o492, May-2024, Available at : http://www.jetir.org/papers/JETIR2405F54.pdf