Graffiti Identification System Using Low-Cost Sensors.

Authors

DOI:

https://doi.org/10.9781/ijimai.2023.05.001

Keywords:

Colorimeter, Graffiti, Image Color Analysis, Low-Cost Sensors
Supporting Agencies
This work has been supported by the project “XAI - XAI - Sistemas Inteligentes Auto Explicativos creados con Módulos de Mezcla de Expertos”, ID SA082P20, financed by Junta Castilla y León, Consejería de Educación, and FEDER funds.

Abstract

This 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.

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Published

2024-06-01
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How to Cite

García García, M., González Arrieta, A., Rodríguez González, S., Márquez Sánchez, S., and Da Silva Ramos, C. F. (2024). Graffiti Identification System Using Low-Cost Sensors. International Journal of Interactive Multimedia and Artificial Intelligence, 8(6), 51–60. https://doi.org/10.9781/ijimai.2023.05.001