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AI-powered object sorting mechanical arm with easy replaceability

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dc.contributor.advisorHuda, A. S. Nazmul
dc.contributor.advisorTaz, Nahid Hossain
dc.contributor.advisorShams, Sharif Mohammad
dc.contributor.authorMahbub, Imon
dc.contributor.authorMesbah, K. M. Fatin
dc.contributor.authorZim, Ahmed Zoha
dc.contributor.authorKabir, Rayhan
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2026-04-22T11:02:12Z
dc.date.available2026-04-22T11:02:12Z
dc.date.copyright2025
dc.date.issued2025-09
dc.descriptionCataloged from PDF version of final year design project.
dc.descriptionIncludes bibliographical references (pages 66-67).
dc.descriptionThis final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2025.en_US
dc.description.abstractThis project presents the design and implementation of an AI-powered object sorting mechanical arm that integrates decision-making capabilities of AI to enhance flexibility and efficiency in industrial automation. The proposed system eliminates the need for manual reprogramming by employing a large language model (LLM), Gemini 2.0, for object recognition and decision-making. Equipped with a 4-DOF robotic arm, high-resolution cameras, and a gripper mechanism, the system is capable of identifying, classifying, and placing objects with high accuracy. The approach demonstrates improvements in adaptability, reduced setup time, and sustainable applicability across various sectors, aligning with the needs of modern industry and society.en_US
dc.description.degreeB.Sc. in Electrical and Electronic Engineering
dc.description.statementofresponsibilityImon Mahbub
dc.description.statementofresponsibilityK. M. Fatin Mesbah
dc.description.statementofresponsibilityAhmed Zoha Zim
dc.description.statementofresponsibilityRayhan Kabir
dc.format.extent72 pages
dc.identifier.otherID 21221007
dc.identifier.otherID 21221008
dc.identifier.otherID 21221016
dc.identifier.otherID 21221043
dc.identifier.urihttp://hdl.handle.net/10361/28040
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.
dc.subjectRobotic armsen_US
dc.subjectObject sortingen_US
dc.subjectIndustrial automationen_US
dc.subjectLarge language modelsen_US
dc.subjectSustainable roboticsen_US
dc.subjectModular designen_US
dc.subject.lcshRobots, Industrial.
dc.subject.lcshRobots--Design and construction.
dc.subject.lcshManipulators (Mechanism).
dc.titleAI-powered object sorting mechanical arm with easy replaceabilityen_US
dc.typeProject Reporten_US

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Thesis & Design Report (Bachelor of Science in Electrical and Electronic Engineering)