Abstract :

The Colour Sorting Robot Using Arduino Uno And TCS3200 Colour Sensor Is Designed To Automate The Process Of Identifying And Categorizing Objects Based On Their Colour, Offering A Practical Solution To Challenges Faced In Manual Sorting Systems. Manual Sorting Is Often Time-consuming, Labor-intensive, And Prone To Errors, Especially When Large Volumes Of Objects Need To Be Processed Continuously. In Industrial Environments Such As Packaging, Food Processing, Pharmaceuticals, And Recycling, Maintaining Accuracy And Efficiency In Sorting Is Critical, And Human Operators May Struggle To Meet These Demands Consistently. This Project Integrates The TCS3200 Colour Sensor With An Arduino Uno Microcontroller, Enabling Real-time Detection Of Colours Of Objects Placed On A Conveyor Mechanism. Upon Detecting The Colour, The System Sends Signals To A Servo Or DC Motor, Which Directs The Object Into Its Corresponding Bin. The Automated Mechanism Ensures High-speed, Precise, And Consistent Sorting, Significantly Improving Productivity While Minimizing Human Intervention. Beyond Its Immediate Practical Application, The System Is Cost-effective, Compact, And Modular, Making It Suitable For Small-scale Industries, Educational Laboratories, And Research Projects. Its Design Allows For Future Enhancements, Such As Integration With IoT Systems For Remote Monitoring, Wireless Data Logging, And Machine Learning Algorithms For Advanced Object Classification. The Project Also Demonstrates The Effective Use Of Embedded Systems, Sensors, And Actuators In Solving Real-world Industrial Problems, Highlighting How Simple Microcontroller-based Solutions Can Achieve Automation Comparable To Expensive Industrial Machines. Furthermore, This Work Provides A Platform For Exploring Automation, Robotics, And Smart System Design In Educational And Research Contexts. By Bridging The Gap Between Manual Labour And Industrial Automation, The Colour Sorting Robot Not Only Improves Operational Efficiency But Al

Published:

26-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

680-685

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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