Paper Key : IRJ************650
Author: Vivekanand Thakare,Rushisarang Sarate,Oshin Dongre,Neha Dhabale,Ishika Wankhede,Himanshi Ahuja,Damini Ambedare,Janhavi Wasade
Date Published: 12 Apr 2024
Abstract
This paper presents a comprehensive system for robotic automation designed to address the limitations of human visual perception in consistently distinguishing colors, thereby enhancing work efficiency. The system is capable of sorting objects based on both their shape and color using a combination of image processing techniques and a robotic arm. Real-time images captured from a webcam are preprocessed through RGB to HSV conversion and noise removal via a median filter. Color detection is then performed using defined HSV ranges, while shape detection is achieved through contour detection utilizing a modified boundary fill approach and the Douglas-Peucker algorithm. A custom-built robotic arm facilitates the sorting process based on the identified shape and color of the objects. Experimental evaluation demonstrates the system's effectiveness in sorting objects of various shapes, including squares, triangles, and rectangles. This system holds promise for enhancing automation in industries requiring efficient object sorting, such as manufacturing and logistics. Its implementation showcases potential advancements in robotics and image processing for streamlined industrial operations.