dc.contributorLarco Torres, Victor David
dc.creatorRamírez Quiroga, Carlos Alberto
dc.date.accessioned2022-02-21T21:37:25Z
dc.date.accessioned2022-10-20T18:36:28Z
dc.date.available2022-02-21T21:37:25Z
dc.date.available2022-10-20T18:36:28Z
dc.date.created2022-02-21T21:37:25Z
dc.date.issued2022
dc.identifierhttp://dspace.ups.edu.ec/handle/123456789/21893
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4580929
dc.description.abstractDevelops a pollutants classification system on a water sample, using a machine learning model obtained by using "Lobe" tool, it was trained with a categorized images data set; this model was downloaded to a Raspberry Pi 4 and by programming the comparison routine and the result of classification are determined.
dc.languagespa
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/
dc.rightsopenAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Ecuador
dc.subjectINTELIGENCIA ARTIFICIAL
dc.subjectAPRENDIZAJE AUTOMÁTICO
dc.subjectMODELO PRE-ENTRENADO
dc.subjectDETECCIÓN DE OBJETOS
dc.subjectRECONOCIMIENTO DE IMAGEN
dc.subjectLOBE
dc.titleDesarrollo de un sistema clasificador de contaminantes en una muestra de agua utilizando inteligencia artificial
dc.typemasterThesis


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