Implementation and integration of image processing blocks in a real-time bottle classification system

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:03Z
Fecha de publicación2022-01-01
ResumenA practical solution to the problems caused by the water, air, and soil pollution produced by the large volumes of waste is recycling. Plastic and glass bottle recycling is a practical solution but sometimes unfeasible in underdeveloped countries. In this paper, we propose a high-performance real-time hardware architecture for bottle classification, that process input image bottles to generate a bottle color as output. The proposed architecture was implemented on a Spartan-6 Field Programmable Gate Array, using a Hardware Description Language. The proposed system was tested for several input resolutions up to 1080 p, but it is flexible enough to support input video resolutions up to 8 K. There is no evidence of a high-performance bottle classification system in the state-of-the-art. The main contribution of this paper is the implementation and integration of a set of dedicated image processing blocks in a high-performance real-time bottle classification system. These hardware modules were integrated into a compact and tunable architecture, and was tested in a simulated environment. Concerning the image processing algorithm implemented in the FPGA, the maximum processing rate is 60 frames per second. In practice, the maximum number of bottles that can be processed would be limited by the mechanical aspects of the bottle transportation system.es_ES
Doihttps://doi.org/10.1038/s41598-022-08777-xes_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/4899
Idiomaenes_ES
EditorialNATURE PORTFOLIOes_ES
RelaciónScientific Reportses_ES
URL relacionadohttps://doi.org/10.1038/s41598-022-08777-xes_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteScientific Reports
TítuloImplementation and integration of image processing blocks in a real-time bottle classification systemes_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorAurelio Nuno-Maganda, Marco
AutorHeli Jimenez-Arteaga, Josue
AutorHugo Barron-Zambrano, Jose
AutorHernandez-Mier, Yahir
AutorCarlos Elizondo-Leal, Juan
AutorDiaz-Manriquez, Alan
AutorTorres-Huitzil, Cesar
AutorPolanco-Martagon, Said
AutorAurelio Nuno-Maganda, Marcoes_ES
AutorHeli Jimenez-Arteaga, Josuees_ES
AutorHugo Barron-Zambrano, Josees_ES
AutorHernandez-Mier, Yahires_ES
AutorCarlos Elizondo-Leal, Juanes_ES
AutorDiaz-Manriquez, Alanes_ES
AutorTorres-Huitzil, Cesares_ES
AutorPolanco-Martagon, Saides_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número1es_ES
URL relacionadahttps://doi.org/10.1038/s41598-022-08777-x
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen12es_ES

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