Detection of Organic and Inorganic Waste Using Mobile Phone Camera

Ameliana Sihotang

doi:10.59934/jaiea.v5i1.1641

Authors

Ameliana Sihotang STMIK Kaputama

DOI:

https://doi.org/10.59934/jaiea.v5i1.1641

Keywords:

Dataset, Inorganic, Organic,Smartphone Camera,Waste

Abstract

This study aims to develop a dataset of organic and inorganic waste images using a mobile phone camera as the foundation for an automatic detection system. Data collection was carried out in the Binjai area by utilizing a smartphone as the primary image acquisition device. The waste was categorized into two main groups, namely organic (such as food waste, leaves, and fruit peels) and inorganic (such as plastic bottles, cans, and styrofoam). The research method involved image collection, manual labeling, and dataset storage in a structured format. The results produced an initial dataset that can be utilized for the development of machine learning-based classification systems. This dataset is expected to contribute to technology-based waste management efforts at the local level.

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