Accuracy study of image classification for reverse vending machine waste segregation using convolutional neural network

• Main Authors: Mohd Azam, Sazuan Nazrah, Tan, Hor Yan, Md Sani, Zamani, Azizan, Azizul
• Format: Article
• Language: English
• Published: Institute Of Advanced Engineering And Science (IAES) 2024
• Online Access: http://eprints.utem.edu.my/id/eprint/28226/2/01591300920241632161178.pdf; http://eprints.utem.edu.my/id/eprint/28226/; https://ijece.iaescore.com/index.php/IJECE/article/view/32243; http://doi.org/10.11591/ijece.v14i1.pp366-374

This study aims to create a sorting system with high accuracy that can classify various beverage containers based on types and separate them accordingly. This reverse vending machine (RVM) provides an image classification method and allows for recycling three types of beverage containers: drink cart...