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Implementation of Machine Learning using Fastai for Image Classification on the Automatic Waste Sorter Prototype

by Muchamad Eris Rizqul Ulum, Joko Purnomo, Elfitrin Syahrul, Erfiana Wahyuningsih
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 7
Year of Publication: 2022
Authors: Muchamad Eris Rizqul Ulum, Joko Purnomo, Elfitrin Syahrul, Erfiana Wahyuningsih
10.5120/ijca2022922026

Muchamad Eris Rizqul Ulum, Joko Purnomo, Elfitrin Syahrul, Erfiana Wahyuningsih . Implementation of Machine Learning using Fastai for Image Classification on the Automatic Waste Sorter Prototype. International Journal of Computer Applications. 184, 7 ( Apr 2022), 1-8. DOI=10.5120/ijca2022922026

@article{ 10.5120/ijca2022922026,
author = { Muchamad Eris Rizqul Ulum, Joko Purnomo, Elfitrin Syahrul, Erfiana Wahyuningsih },
title = { Implementation of Machine Learning using Fastai for Image Classification on the Automatic Waste Sorter Prototype },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 7 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number7/32338-2022922026/ },
doi = { 10.5120/ijca2022922026 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:49.723859+05:30
%A Muchamad Eris Rizqul Ulum
%A Joko Purnomo
%A Elfitrin Syahrul
%A Erfiana Wahyuningsih
%T Implementation of Machine Learning using Fastai for Image Classification on the Automatic Waste Sorter Prototype
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 7
%P 1-8
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Indonesia is one of the countries that contribute to waste in the world. Waste management is one way to reduce waste generated. Sensing the type of waste with a camera using computer vision is one method to take waste images. Using this method can create an automatic waste sorting system. The scattered waste is mixed of many types, including cardboard, glass, metal, paper, and plastic. This research uses the machine learning Convolutional Neural Network (CNN) Model to classify waste. The prototype uses a notebook to process classification and sends the classification to Arduino with Firmata protocol. The error rate value obtained from the train was 0.096708. while the accuracy value of the prototype is 84%. in this research, to be able to apply waste separation technology automatically to the waste, it can use fastbook when using a server computer and Arduino to control the device prototype.

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Index Terms

Computer Science
Information Sciences

Keywords

Fastbook Fastai Jupyter Notebook Convolution Neural Network OpenCV PyFirmata Python

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