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A low-cost intelligent metal recycling machine

dc.contributor.authorŞenturk, Saruhan Furkan
dc.contributor.authorDönmez, Muhammet Fatih
dc.contributor.authorGülmez, Hüseyin Kaan
dc.contributor.authorGül, Mehmet Faruk
dc.contributor.authorKırcı, Pınar
dc.contributor.buuauthorŞenturk, Saruhan Furkan
dc.contributor.buuauthorKIRCI, PINAR
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentBilgisayar Mühendisliği Ana Bilim Dalı
dc.contributor.scopusid57439910800
dc.contributor.scopusid57439910900
dc.contributor.scopusid57439566500
dc.contributor.scopusid57439566600
dc.contributor.scopusid15026635000
dc.date.accessioned2025-05-13T06:55:56Z
dc.date.issued2021-01-01
dc.description.abstractEnvironmental pollution is an important factor both for the economy and for a livable environment. For this reason, a lot of work has been done recently to reduce environmental pollution, to increase recycling, to protect the environment and to prevent economic wear. Many municipalities around the world put recycling bins in certain points of cities, districts and even neighborhoods. however, these boxes are designed only to dispose of materials that can be recycled by human hand, according to certain containers. Whichever section is reserved for which waste, people separate their garbage and throw their garbage in that section. Despite this, it can be seen that different wastes are in different reservoirs and a manpower is needed to separate them again. The project will separate recyclable materials according to their type (glass, paper, nylon, metal) into different containers using sensors and smart systems.
dc.identifier.doi10.1109/AICT52120.2021.9628923
dc.identifier.endpage70
dc.identifier.isbn[9781665406185]
dc.identifier.scopus2-s2.0-85124048025
dc.identifier.startpage66
dc.identifier.urihttps://hdl.handle.net/11452/51909
dc.indexed.scopusScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.journal2021 IEEE 4th International Conference on Advanced Information and Communication Technologies, AICT 2021 - Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectwaste
dc.subjectSensor
dc.subjectRecycling
dc.subjectMetal waste
dc.subject.scopusDeep Learning Models for Waste Classification Systems
dc.titleA low-cost intelligent metal recycling machine
dc.typeconferenceObject
dc.type.subtypeConference Paper
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Bilgisayar Mühendisliği Ana Bilim Dalı
local.indexed.atScopus
relation.isAuthorOfPublication0270c3e7-f379-4f0e-84dd-a83c2bbf0235
relation.isAuthorOfPublication.latestForDiscovery0270c3e7-f379-4f0e-84dd-a83c2bbf0235

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