Automatic Part Sorting Robotbased On Colour Code

Abstract

This research focuses on the design and development of an automatic part sorting robot based on colour detection to improve industrial efficiency and reduce manual effort. The primary purpose of the study is to address challenges associated with manual sorting, such as human error, fatigue, and inconsistency, by implementing an automated solution using robotics and embedded systems. The methodology involves several stages, including requirement analysis, selection of components, mechanical and electrical design, programming of the control system, and testing and optimization. The system integrates a TCS3200 colour sensor to detect object colours, an Arduino Mega 2560 microcontroller to process the data, and servo motors to control the robotic arm for sorting operations. The findings indicate that the developed system successfully identifies objects based on predefined colour parameters and sorts them accurately with minimal human intervention. It demonstrates improved consistency, faster processing time, and reduced operational errors compared to manual methods.