Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
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Article Number | 01167 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/matecconf/202439201167 | |
Published online | 18 March 2024 |
Classification of waste in natural environments
School of Computer Science and Artificial Intelligence, SR University, Warangal 506 371, Telangana, India.
* Corresponding author: sureshkonline@gmail.com
A worldwide issue affecting the world is waste disposal; hence, the need to construct a waste detection system that is based on deep learning. Ten wastes are evaluated in this article with a view of providing an integrated framework for measurement and evaluation. It also offers a comprehensive account of the wastes studied further by looking at its detail finding and the challenges they pose as well as views associated with waste detection. Recycling both has economical and ecological benefits which help to eliminate pollution. Technology can now be used to turn waste into resource materials thus recycling more than before especially through the use of deep learning among other technologies.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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