Aplicación de Visión Artificial para la Calificación Automática de Pruebas Escritas

Freddy Bolaños Martinez; Eliana Isabel Arango Zuluaga; Monica Ayde Vallejo Velasquez

doi:10.33571/rpolitec.v14n26a6

Autores/as

Freddy Bolaños Martinez Universidad Nacional de Colombia, Sede Medellín http://orcid.org/0000-0002-3123-5481
Eliana Isabel Arango Zuluaga Universidad Nacional de Colombia, Sede Medellín http://orcid.org/0000-0002-0947-3694
Monica Ayde Vallejo Velasquez Universidad Nacional de Colombia, Sede Medellín http://orcid.org/0000-0002-5958-1490

DOI:

https://doi.org/10.33571/rpolitec.v14n26a6

Palabras clave:

Visión artificial, procesamiento digital de imágenes, automatización

Resumen

Este artículo describe una aplicación de visión artificial para la automatización del proceso de calificación de exámenes escritos del tipo de selección múltiple. Una cámara digital es usada para capturar fotografías de las hojas de respuesta, que luego son adecuadas y procesadas con el fin de determinar la nota del estudiante. La adecuación de las imágenes se hace por medio de algoritmos heurísticos de filtrado y redimensionamiento de baja complejidad, con miras a portar la aplicación a una plataforma móvil en el futuro. Los resultados obtenidos son prometedores, con una tasa de aciertos de alrededor del 97 %, y con buena tolerancia a condiciones cambiantes de iluminación y orientación en la toma de las fotografías.

Métricas de artículo

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Citas

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