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Artificial Intelligence in Automated Sorting in Trash Recycling

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Published
  • Bernardo S. Costa
  • Aiko C. S. Bernardes
  • Julia V. A. Pereira
  • Vitoria H. Zampa
  • Vitoria A. Pereira
  • Guilherme F. Matos
  • Eduardo Almeida Soares
  • Claiton L. Soares
  • Alexandre F. Silva
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Publication date22/10/2018
Host publicationAnais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)
Pages198-205
Number of pages8
<mark>Original language</mark>English

Abstract

A computer vision approach to classify garbage into recycling categories could be an efficient way to process waste. This project aims to take garbage waste images and classify them into four classes: glass, paper, metal and, plastic. We use a garbage image database that contains around 400 images for each class. The models used in the experiments are Pre-trained VGG-16 (VGG16), AlexNet, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and, Random Forest (RF). Experiments showed that our models reached accuracy of around 93%.