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dc.contributor.advisorSchmith, Jean
dc.contributor.authorCortez, Alexandre Bastos
dc.date.accessioned2022-06-14T17:11:56Z
dc.date.accessioned2022-09-22T19:51:54Z
dc.date.available2022-06-14T17:11:56Z
dc.date.available2022-09-22T19:51:54Z
dc.date.issued2019-06-28
dc.identifier.urihttps://hdl.handle.net/20.500.12032/65878
dc.description.abstractThis work proposes an auxiliary approach to monitor the quality in the spot welding process, which is widely used for structuring metal bodies or metal sub assemblies in the automotive industry. As a criterion of quality of this process, we will use the characteristic marks left by welding electrodes in the junction between the materials. The shape and size of these marks related to welding parameters of the materials to be welded allow an estimation of the quality. The proposed solution is based on the measurement of the spot welding by image processing using the Raspberry PI platform and an implementation through the Python programming language by OpenCV and SimpleCV libraries. The algorithm to monitor the welding process will receive a command to capture the weld spot region picture and process the data of image for analyses of welding quality.en
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.subjectSoldagem por Resistência a Pontopt_BR
dc.subjectRaspberry PIen
dc.titleSistema de controle de pontos de soldapt_BR
dc.typeTCCpt_BR


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