Desarrollo de un sistema integrado de clasificación y control industrial con visión artificial y automatización PLC
DOI:
https://doi.org/10.24054/rcta.v2i48.4390Palabras clave:
robótica, visión artificial, PLCResumen
Este artículo presenta el diseño e implementación de un prototipo para la identificación, manipulación y transporte de objetos, orientado a simular un proceso industrial de clasificación y control de calidad. El sistema integra un brazo robótico, el modelo de detección YOLO, marcadores ArUco, un módulo de transporte controlado por PLC y figuras impresas en 3D, programado principalmente en Python. La metodología consistió en desarrollar cada sistema por separado, y posteriormente integrarlo en una sola interfaz gráfica, el segmento de robótica y visión artificial se desarrollaron completamente en Python; el PLC se programó en TIA Portal y se conectó a Python mediante Snap7. Para la evaluación del sistema se realizaron pruebas de repetibilidad en la manipulación y el transporte, y se midió la precisión de clasificación y segmentación del modelo YOLO, así como la exactitud de los marcadores ArUco.
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Derechos de autor 2026 Diego Alejandro Landinez Quintero, Francisco Ernesto Moreno García, Wlamyr Palacios Alvarado
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
