Rahim, Abu Hamed M. AbdurMahmud, TasfinShawon, Md. Mehedi HasanAhammad, AsifShimanto, MD.Tasdid, Akib HossainMahmud, Arman Bin2024-09-232024-09-23©20242024-05ID 19221011ID 19121008ID 18221011ID 19121010http://hdl.handle.net/10361/24165Cataloged from PDF version of final year design project.Includes bibliographical references (page 73).This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2024.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.103 pagesenBrac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Sorting processesIndustrial environmentImage processingIoTReal-time data trackingAdvanced technologyConveyor belts--Industrial design--Flexible manufacturing systems--Automation.Project Report