|
|||||||||||||||
|
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: April 2024
Volume 9 | Issue 4
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 : 95
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: | AUTOMATIC WASTE SEGREGATION USING IMAGE PROCESSING |
| Authors Name: | Haritha K N , Gopika S Pillai , Jyothi Krishnan M |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_200068
|
| Published Paper Id: | IJNRD2306489 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Waste management and systematic sorting of them are considered to be a significant role in ecological development around the world. The procedure in which the garbage is segregated is by splitting the garbage into divergent components. This is regularly done by handpicking physically which sometimes causes hazardous and dreadful impact on human health if not appropriately done. Currently used waste sorting technologies have limitations on the composition of recyclable waste, which makes them specialized. Thus, the preliminary sorting of Municipal Solid Waste (MSW) is a necessary step, increasing the efficiency of using municipal solid waste as a resource. Our project aims to create an automated waste segregation system using image processing techniques. The ultimate objective is to segregate the waste into two main categories- recyclable and non-recyclable. This would help in easy recovery of useful and recyclable items. The sorting unit performs detection and classification of waste components on a conveyor belt. Unpacked MSW is supplied to the conveyor belt as a sparse feed so that cases of objects overlapping are rare. Images are gathered from a camera and fed to a neural network input, which determines the position and type of detected objects. A L-Shaped structure is used as the sorting unit to move the MSW from the conveyor and classify them to the corresponding bin. The L-Shaped structure which can place the waste materials like cardboard, glass, metal, paper, plastic, and trash waste can be properly dumped in the corresponding recyclable and non-recyclable bin. The wastes are classified primarily into two levels such as recyclable and non-recyclable. These two main classes can be further classified into categories depending on their reusability. The hardware system is a conveyor, camera, L-shaped clamp and Arduino UNO for controlling conveyor, and the software is an image classification algorithm based on machine learning process. To train the neural network we use a database of municipal solid waste images. |
| Keywords: | Image Processing, Municipal Solid Waste (MSW), Machine learning, Waste Classification, CNN |
| Cite Article: | "AUTOMATIC WASTE SEGREGATION USING IMAGE PROCESSING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.e750-e756, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306489.pdf |
| Downloads: | 000118754 |
| 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:IJNRD2306489 Registration ID: 200068 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: e750-e756 Country: Kottayam, Kerala, India Research Area: Automation & Control Power System Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306489 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306489 |
| 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