CNN-based plastic waste detection system

Abstract

Plastic waste has become a pressing global concern in recent decades, posing significant challenges to our environment due to its non-biodegradable nature and causing significant pollution and damage to our planet. Recycling plastic waste is one of the most effective solutions to this dilemma, which is why the aim of our project was to create a system that detects plastic waste using a large dataset with labeled data and one of the most famous deep learning neural networks, “Convolutional Neural Networks,” to classify and speed up the waste collection process and provide an easier recycling process. Thanks to our work, we have achieved 97% accuracy.