|
|||||||||||||||
|
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) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | SOLID WASTE SEGREGATION USING COMPUTER VISION |
| Authors Name: | Mihir Anand , Ayush Kumar , Dr. Muralidharan C |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217628
|
| Published Paper Id: | IJNRD2404386 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | |
| Cite Article: | " 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 |
| Downloads: | 00036 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2404386 Registration ID: 217628 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: d780-d786 Country: Kanchipuram, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404386 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404386 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn