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dc.contributor.authorGarcía García, Miguel
dc.contributor.authorGonzález Arrieta, María Angélica
dc.contributor.authorRodríguez González, Sara
dc.contributor.authorMárquez-Sánchez, Sergio
dc.contributor.authorDa Silva Ramos, Carlos Fernando
dc.date2023-05
dc.date.accessioned2023-06-01T09:42:02Z
dc.date.available2023-06-01T09:42:02Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/14809
dc.description.abstractThis article introduces the possibility of studying graffiti using a colorimeter developed with Arduino hardware technology according to the Do It Yourself (DIY) philosophy. Through the obtained Red Green Blue (RGB) data it is intended to study and compare the information extracted from each of the graffiti present on different walls. The same color can be found in different parts of a single graffiti, but also in other graffiti that could a priori be of different authorship. Nevertheless, graffiti may be related, and it may be possible to group graffiti artists and "gangs" that work together. The methodology followed for the construction of the colorimeter and its real application in a practical case are described in four case studies. The case studies describe how graffiti were identified and recognized and they provide a comparison of the collected color samples. The results show the added value of the colorimeter in the graffiti recognition process, demonstrating its usefulness on a functional level. Finally, the contributions of this research are outlined, and an analysis is carried out of the changes to be made to the proposed method in the future, for improved graffiti color identification.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligencees_ES
dc.relation.ispartofseries;In Press
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/3313es_ES
dc.rightsopenAccesses_ES
dc.subjectcolorimeteres_ES
dc.subjectcrewes_ES
dc.subjectgraffities_ES
dc.subjectimage color analysises_ES
dc.subjectlow-cost sensorses_ES
dc.subjecttages_ES
dc.subjectIJIMAIes_ES
dc.titleGraffiti Identification System Using Low-Cost Sensorses_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2023.05.001


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