About this document
Waste Classification with CNNs and Imaging by gitasib553 is a document available to read on EtoBox.
This document presents a waste classification system utilizing image processing and convolutional neural networks (CNNs) to automate the segregation of plastic waste. The proposed system classifies four types of plastic: polyethylene terephthalate, high-density polyethylene, polypropylene, and polystyrene, addressing the global challenge of effective waste management. The research demonstrates that CNNs can efficiently recognize and classify waste, leading to improved recycling processes.
- Author
- gitasib553
- Language
- EN