Artificial Intelligence in Automated Sorting in Trash Recycling

Costa, Bernardo S. and Bernardes, Aiko C. S. and Pereira, Julia V. A. and Zampa, Vitoria H. and Pereira, Vitoria A. and Matos, Guilherme F. and Almeida Soares, Eduardo and Soares, Claiton L. and Silva, Alexandre F. (2018) Artificial Intelligence in Automated Sorting in Trash Recycling. In: Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018). UNSPECIFIED, pp. 198-205.

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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%.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
138719
Deposited By:
Deposited On:
12 Nov 2019 15:50
Refereed?:
Yes
Published?:
Published
Last Modified:
05 Jul 2020 23:30