Perancangan Alat Pemilah Plastik Berdasarkan Bentuk dan Warna Berbasis Kecerdasan Buatan
Keywords:
Plastic Waste, Artificial Intelligence, Image Classification, Edge Impulse, ESP32S3 Sense, Automatic Waste Sorting System.Abstract
The increasing amount of plastic waste has become one of the environmental issues that requires effective management. Manual plastic waste sorting still faces several challenges, including the time required for the sorting process and the potential for errors in waste classification. Therefore, this study aims to design a plastic waste sorting system based on color and shape using Artificial Intelligence (AI) technology. The proposed system utilizes the Seeed Studio XIAO ESP32S3 Sense as both the microcontroller and image acquisition device. Object identification is performed using an Artificial Intelligence model based on image classification developed through the Edge Impulse platform. The classified objects are divided into three categories, namely bottle, cup, and cap. The classification results are used to control a servo motor that directs the objects into the appropriate collection bins. In addition, an LCD is employed to display the classification results in real time. The expected outcome of this research is the development of a prototype plastic waste sorting system capable of automatically identifying and classifying objects based on predefined categories. This system is expected to provide an alternative solution for improving the effectiveness and efficiency of plastic waste management through the implementation of Artificial Intelligence technology.
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