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A vision-based robotic arm for sewer maintenance

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dc.contributor.advisorHuda, A.S Nazmul
dc.contributor.advisorShams, Sharif Mohammad
dc.contributor.authorMoslem, Zaiyan Azad
dc.contributor.authorTitun, Tagabun Taharim
dc.contributor.authorAkter, Marufa
dc.contributor.authorRahman, Tasfiqur
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2025-08-20T06:15:32Z
dc.date.available2025-08-20T06:15:32Z
dc.date.copyright2025
dc.date.issued2025-05
dc.descriptionCataloged from PDF version of final year design project.
dc.descriptionIncludes bibliographical references (page 62).
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.abstractOur project introduces a cost-effective, vision-assisted robotic system for safer and more systematic sewer maintenance. For ages, manual sewer cleaning has exposed workers to toxic environments filled with various health hazards. Our robotic arm will be using a camera and a 3 Degree of Freedom (DOF) arm to detect and remove sludge, reducing human intervention. It offers real-time monitoring and a remote control system for increased safety and ease of operation. Our innovative solution fully supports sustainable sanitation practices and will be specifically suitable for urban infrastructure in developing regions.en_US
dc.description.degreeB.Sc. in Electrical and Electronic Engineering
dc.description.statementofresponsibilityZaiyan Azad Moslem
dc.description.statementofresponsibilityTagabun Taharim Titun
dc.description.statementofresponsibilityMarufa Akter
dc.description.statementofresponsibilityTasfiqur Rahman
dc.format.extent94 pages
dc.identifier.otherID 21321075
dc.identifier.otherID 21321049
dc.identifier.otherID 21110002
dc.identifier.otherID 21321004
dc.identifier.urihttp://hdl.handle.net/10361/26560
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 Armen_US
dc.subjectSewer maintenanceen_US
dc.subjectVision-based systemen_US
dc.subjectPID controlen_US
dc.subjectUrban sanitationen_US
dc.subjectAutomation in hazardous environmentsen_US
dc.subject.lcshSewer maintenance robotics.
dc.titleA vision-based robotic arm for sewer maintenanceen_US
dc.typeProject Reporten_US

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