Mobile Phone Surface Defect Detection Using Computer Vision and Machine Learning

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorSippola, Jyrki
dc.contributor.authorPeltoketo, Matias
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorOliveira, Fabricio
dc.date.accessioned2022-12-18T18:07:56Z
dc.date.available2022-12-18T18:07:56Z
dc.date.issued2022-12-13
dc.format.extent52+1
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/118357
dc.identifier.urnURN:NBN:fi:aalto-202212187099
dc.language.isoenen
dc.programmeMaster’s Programme in Mathematics and Operations Researchfi
dc.programme.majorSystems and Operations Researchfi
dc.programme.mcodeSCI3055fi
dc.subject.keywordsurface defect detectionen
dc.subject.keywordcomputer visionen
dc.subject.keywordmachine learningen
dc.subject.keyworddge detectionen
dc.subject.keywordsupport vector machineen
dc.titleMobile Phone Surface Defect Detection Using Computer Vision and Machine Learningen
dc.titleMatkapuhelimien pintavikojen havaitseminen konenäön ja koneoppimisen avullafi
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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[dipl] Perustieteiden korkeakoulu / SCI