ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             

Scientific Visualization, 2024, volume 16, number 5, pages 179 - 196, DOI: 10.26583/sv.16.5.12

Deep Learning for Effective Visualization and Classification of Recyclable Material Labels

Authors: V.O. Kuzevanov1, D.V. Tikhomirova2

National Research Nuclear University “MEPhI”, Moscow, Russia

1 ORCID: 0009-0005-7093-7709, slava.kuzevanov@mail.ru

2 ORCID: 0000-0002-0812-2331, dvsulim@mail.ru

 

Abstract

This paper presents an example of a system to improve the process of sorting recyclables by using deep learning techniques to automatically detect, classify and visualize recycling codes on product packages. In this paper, the authors discuss various approaches to optical character recognition and object detection in a video stream or image. The authors have developed and proposed a combination of neural networks for detection and classification of recycling codes. The proposed neural network system is designed to facilitate efficient recycling processes by automating the identification of recycling symbols, thereby facilitating the sorting and processing of recyclables.

 

Keywords: Deep learning, neural networks, recycling codes, automated sorting of recyclables, computer vision, image recognition.