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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