01817nas a2200205   4500000000100000000000100001008004100002260001200043100002700055700003900082700003000121700002900151700003500180245005800215856008100273300000900354490001300363520122100376022001401597       2023                            d  c05/20231 aMiguel García García1 aMaría Angélica González Arrieta1 aSara Rodríguez-González1 aSergio Márquez-Sánchez1 aCarlos Fernando Da Silva Ramos00aGraffiti Identification System Using Low-Cost Sensors  uhttps://www.ijimai.org/journal/sites/default/files/2023-05/ip2023_05_001.pdf  a1-100 vIn Press3 aThis 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.  a1989-1660