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Simulation of an Automated System to select Peruvian avocados by computer vision

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

Resumen

The aim for this study is to develop a simulation of an automated Peruvian avocado classification system based on computer vision. In order to develop the computer vision process, the principle of learning by transfer was analyzed and a flowchart for Factory IO and TIA Portal simulation was created. An environmental system simulation was procured through the software Factory IO, as well as image processing through the Teachable Machine software. Whereby, the characteristics of the three avocado varieties were introduced, and the system had the ability to select the avocados with the data. In conclusion, the current design optimized the process by automatizing the selection and storage of the avocados reducing the execution time for both processes.

Idioma originalInglés estadounidense
Título de la publicación alojadaInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2025
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798331535599
DOI
EstadoIndizado - 2025
EventoIEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2025 - Paris, Francia
Duración: 3 jul. 20256 jul. 2025

Serie de la publicación

NombreInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2025

Conferencia

ConferenciaIEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2025
País/TerritorioFrancia
CiudadParis
Período3/07/256/07/25

Nota bibliográfica

Publisher Copyright:
© 2025 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

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