Design and fabrication of sorting system on conveyor belt

Abstract

In contemporary industrial environments, optimizing sorting processes is vital for productivity, error reduction, and quality control across sectors like manufacturing, logistics, recycling, and food processing. Traditional methods often prove inadequate due to labor intensiveness and lack of adaptability. This thesis proposes a sorting solution integrating advanced technologies like AI and IoT with practical considerations of cost-effectiveness and scalability. By addressing industry requirements and technological capabilities, it aims to develop a robust system delivering precision, efficiency, and flexibility while remaining economically viable and scalable. Bridging the gap between aspiration and practicality, this project provides industries with a dependable sorting solution to meet dynamic demands, enhancing productivity and competitiveness.