Procesamiento de imágenes industriales: una aplicación al control del tostado del maní

Autores

  • Juan José Palma Universidad Tecnológica Nacional, Regional Córdoba
  • Silvia María Ojeda Universidad Tecnológica Nacional, Regional Córdoba
  • Mario Roberto Modesti Universidad Tecnológica Nacional, Regional Córdoba

Palavras-chave:

Maní a Granel, Regresión Logística, Procesamiento de Imágenes, Redes de Computadoras, Horno de Tostado de Maní.

Resumo

Este trabajo se enmarca en el ámbito del control automático aplicado al sector agroindustrial. Responde a la creciente incorporación de tecnología en el sector primario por parte de algunas empresas dedicadas a la elaboración de derivados de la pasta de maní, en su búsqueda de un aumento en la productividad y calidad de sus productos. Concretamente, se presenta una metodología automática y en línea, para distinguir distintos niveles de tostado de maní pelado sin piel a granel e introducir, en caso de fallas, correcciones en el proceso de tostado. El método propuesto utiliza la información proporcionada por sensores ópticos instalados a la salida del horno de tostado y está basado en el modelo de regresión logística.   

10.13084/2175-8018.v03n06a08

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Publicado

2012-05-19

Como Citar

Palma, J. J., Ojeda, S. M., & Modesti, M. R. (2012). Procesamiento de imágenes industriales: una aplicación al control del tostado del maní. beroamerican ournal of ndustrial ngineering, 3(6), 120–135. ecuperado de https://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/1567