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The aim of this work is to develop an engine which uses modern artificial intelligence approach, deep learning and computer vision to automatically classify the waste into plastic or non-plastic.

Home Page: https://vinayakumarr.github.io/DSP/

segregation plastic deep-learning capsule-network

segregation-of-plastic's Introduction

Segregation-of-Plastic

https://vinayakumarr.github.io/DSP/

https://ieeexplore.ieee.org/abstract/document/8728405/

Sreelakshmi K, Vinayakumar R and Soman KP, Deep-Segregation of Plastic (DSP): Segregation of Plastic and Non-Plastic using Deep learning. In Big Data Recommender Systems: Recent Trends and Advances, Institution of Engineering and Technology (IET) [Book chapter - In Press]

Sreelakshmi K, Akarsh S, Vinayakumar R and Soman KP, Capsule Neural Networks and Visualization for Segregation of Plastic andNon-Plastic Wastes ### Best paper award in 2019 International Conference on Advanced Computing & Communication Systems (ICACCS)

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