Paper Title

SMART BIN FOR WASTE MANAGEMENT IN URBAN AREAS USING IMAGE PROCESSING

Article Identifiers

Registration ID: IJNRD_226071

Published ID: IJNRD2407503

DOI: Click Here to Get

Authors

Dr. Amitha I C , Drishya P k , Fathimathul Aifa K P , Sandra C M , Sheetal Madhu

Keywords

Waste Management, YOLOv5 algorithm, YOLOv5 architecture, Waste Detection and classification, CNN, Documentation.

Abstract

Waste management is an increasingly critical issue in today’s society due to its increasing amount. To solve this challenge, we propose a software-based solution inspired by existing solar energy smart sorting boxes. The proposed model aims to classify dry and wet waste using image processing, it also improves the accuracy using deep learning techniques. The software is trained using a dataset of garbage images and its accuracy is evaluated using test images. Real-time implementation can be done by adding a web camera to capture real-time images and classify the waste, and an LED display mounted on the bin will show whether the waste is dry or wet. Although real-time implementation may not be possible at first, this approach is a significant step towards automating waste management processes. The ultimate goal is to promote good management practices and promote a cleaner and more sustainable environment.

How To Cite

"SMART BIN FOR WASTE MANAGEMENT IN URBAN AREAS USING IMAGE PROCESSING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 7, page no.g41-g51, July-2024, Available :https://ijnrd.org/papers/IJNRD2407503.pdf

Issue

Volume 9 Issue 7, July-2024

Pages : g41-g51

Other Publication Details

Paper Reg. ID: IJNRD_226071

Published Paper Id: IJNRD2407503

Downloads: 000121219

Research Area: Computer Science & Technology 

Country: Kannur, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407503.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407503

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area