INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In an average Indian capital city, the daily production of unsegregated waste exceeds 5000 tons. Despite a doubling of this garbage production rate in the last 5 years, the methods employed for waste management still rely on manual labor. This project proposes a more advanced approach by incorporating smart technology, specifically leveraging machine learning strategies such as Convolutional Neural Network (CNN) to analyze waste content. The model utilizes the You Only Look Once (YOLO) image processing framework to categorize garbage into recyclable and non-recyclable waste. The information generated is then transmitted to a physical robotic arm, responsible for depositing the waste into appropriate bins. The machine learning model can accurately identify solid waste types based on materials like Wood, Metal, Paper, Plastic, and Glass. The aim of this research is to implement the model in both semi-urban and urban areas, enhancing the efficiency of waste segregation, with a willingness to modify physical components as needed.
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" SOLID WASTE SEGREGATION USING COMPUTER VISION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d780-d786, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404386.pdf
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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
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