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Simulation System of a Tomato Sorting Process Using Artificial Vision

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Emerging Research in Intelligent Systems (CIT 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 405))

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Abstract

This present research consists of a design of a virtual plant to simulate the automatization of a tomato sorting process by means of artificial vision. This sorting process starts with the entry of tomatoes on a conveyor belt, the fruits move at a constant speed until they are under the scope of the camera. An image processing system developed in LabVIEW software is in charge of detecting three main characteristics: green color, red color and defects on the surface of the fruit. The simulation was performed in Factory I/O software in conjunction with TIA Portal to obtain a real simulation environment.

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Author information

Authors and Affiliations

  1. Universidad Nacional de Colombia, Medellín, Colombia

    Sandro Balarezo

  2. Universidad de Las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Xavier Arias & Kevin Espín

  3. Escuela Superior Politécnica de Chimborazo, Riobamba, Ecuador

    Miguel Aquino & Guillermo Novillo

Authors
  1. Sandro Balarezo
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  2. Xavier Arias
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  3. Kevin Espín
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  4. Miguel Aquino
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  5. Guillermo Novillo
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Corresponding author

Correspondence to Sandro Balarezo .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Henry Cruz

  3. University of Valencia, Valencia, Spain

    Angela Díaz Cadena

  4. International University of Sarajevo, Sarajevo, Bosnia and Herzegovina

    Benjamin Durakovic

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Cite this paper

Balarezo, S., Arias, X., Espín, K., Aquino, M., Novillo, G. (2022). Simulation System of a Tomato Sorting Process Using Artificial Vision. In: Botto-Tobar, M., Cruz, H., Díaz Cadena, A., Durakovic, B. (eds) Emerging Research in Intelligent Systems. CIT 2021. Lecture Notes in Networks and Systems, vol 405. Springer, Cham. https://doi.org/10.1007/978-3-030-96043-8_11

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