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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM24889

Recyclable Waste Classification using Computer Vision and Deep Learning

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-

Subject:

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Paper ID:

IJSREM24889

Volume:

7 |

7 |

Jul 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MAC

Meghashree A C

SAS

Swathi A S

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Abstract

Effective waste management plays an important role in reducing environmental pollution and promoting sustainable development. Analysing manual waste is a time-consuming, labour-intensive, and error-prone process. With advances in machine learning techniques, automated waste separation systems have emerged as a promising option. This article provides a comprehensive review of waste identification using machine learning, highlighting the various methods, data, and performance measures used in recent research. We discuss the challenges, opportunities, and future directions for the development of smart waste management.

KEYWORDS

Waste management automated systems waste classification machine learning performance metrics

Cite This Article

Meghashree A C, Swathi A S, "Recyclable Waste Classification using Computer Vision and Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 7, Jul 2023.

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Publication Date

7/30/2023

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The authors declare no conflict of interest related to this research work.

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