An Automatic e-waste Classification Model by Improved Deep Learning Algorithm

An Automatic e-waste Classification Model by Improved Deep Learning Algorithm

Registration ID: IJNRD_208733

Published ID: IJNRD2311145

DOI: Click Here to Get

Bodapati Samatha , Prof. B.Prajna

E-waste classification, Deep Learning

Waste of Electronic and Electrical Equipment (WEEE) or e-waste is generated at an increasing rate throughout the world. The high demand for electronic devices used in daily activities led to the development of e-wastage. The improper disposal of e-waste has an adverse effect on the environment and human health. For better recycling, e-waste must be properly classified, since each electronic device contains different types of hazardous elements. Manual sorting of e-waste is a very hazardous, expensive, and time-consuming process. The need for automatic e-waste classification is addressed in this paper using YOLOv5. The dataset used for evaluation contains 1350 RGB images that are classified into 10 categories. After training the model for 50 epochs, the mAP, precision, recall and F1score are 99.6, 99.8, 95.5 and 97.6 respectively.

Published Paper   E-Certificate

"An Automatic e-waste Classification Model by Improved Deep Learning Algorithm", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b350-b354, November-2023, Available :https://ijnrd.org/papers/IJNRD2311145.pdf

Volume 8 Issue 11, November-2023

Pages : b350-b354

Paper Reg. ID: IJNRD_208733

Published Paper Id: IJNRD2311145

Downloads: 000121125

Research Area: Biological Science

Country: Visakhapatnam, Andhra Pradesh, india

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311145.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311145

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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