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.