GRENZE International Journal of Engineering and Technology
Vol. 10
(2024), Issue 2
Deep Learning–based Intelligent System for Managing Waste Made of Plastic
Authors
Addepalli Hemavardhan Venkata Manikanta, Chindaluru Ganesh, Rayala Cheruvu Varshitha, Lekkala Jahnavi, J Bennilo Fernandes
Abstract
In today's world, the escalating environmental crisis demands innovative solutions to address plastic waste management. DL-ISPW, an innovative Deep Learning-Based Intelligent System for Managing Plastic Waste. Leveraging advanced deep learning techniques and computer vision, DL-ISPW automatically identifies and classifies plastic waste, revolutionizing waste management. With deep neural networks and strict data sequestration, it optimizes plastic waste processing, promoting eco-friendly disposal, resource effectiveness, and reduced pollution. DL-ISPW aligns with circular economy principles, supporting recycling and upcycling. It offers an intelligent, eco-conscious solution for sustainable waste management, fostering a cleaner, greener environment, and responsible resource conservation.
Pages:
3242 - 3247