IMPLEMENTACIÓN DE REDES NEURONALES PARA LA CLASIFICACIÓN DE DESECHOS DENTRO DE UN CESTO INTELIGENTE

José J Pascasio G; Robinson H Mela R; María Luisa Vélez; José Carlos Rangel

Submitted December 15, 2021

Published 2022-01-05

Artículos

Vol. 11 No. 1 (2022): Centros: Revista Científica Universitaria

IMPLEMENTATION OF NEURAL NETWORKS FOR THE CLASSIFICATION OF WASTE WITHIN A SMART BASKET

José J Pascasio G⁺⁻
Robinson H Mela R⁺⁻
María Luisa Vélez⁺⁻
José Carlos Rangel⁺⁻

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Citación:

DOI: ND

Published: 2022-01-05

How to Cite

Pascasio G, J. J., Mela R, R. H., Vélez, M. L., & Rangel, J. C. (2022). IMPLEMENTATION OF NEURAL NETWORKS FOR THE CLASSIFICATION OF WASTE WITHIN A SMART BASKET. Centros: Revista Científica Universitaria, 11(1), 229–245. Retrieved from https://revistas.up.ac.pa/index.php/centros/article/view/2542

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Abstract

This article introduces the implementation of hardware tools like (Raspberry Pi, cameras, sensors, motors, drivers) and software like (convolutional neural networks, mobile app) for debris classification. In the future, the implementation of the proposed collector and classifier will contribute to caring for the environment and environmental education. The innovation of the project lies in the automation of the waste classification process through the integration of neural networks, the generation of notifications automatically from the prototype that are transmitted through the web server to the mobile application developed when a container is full. And the flexibility of the prototype so that it can be implemented in various environments from educational, office, industrial, among others. The advances that are presented are Creation of a mobile application that allows to visualize the level of the containers, design of the prototype, results of the training of the selected neural networks, evaluation of the final network with test images.

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