Paper Title

Automated Waste Segregator

Authors

Atharv Gavali , Sahil Raut , Shivam Rudra , Prof. Shailesh Jadhav

Keywords

Waste management, Image processing, Waste segregation, Electronics, Microcontroller.

Abstract

Automated Waste Dustbins utilize IoT, AI, and computer vision for efficient waste management. They feature multiple compartments, sensors, and automatic lid mechanisms for real-time waste sorting. Computer vision and AI algorithms accurately identify and segregate waste. Smart Waste Dustbins monitor fill levels and offer a user-friendly interface for public engagement. Sensors include ultrasonic, moisture, and metal sensors for proximity, moisture analysis, and metal item segregation. Automated Waste Dustbins revolutionize waste management, enhancing efficiency in segregation, recycling, and collection processes, leading to reduced environmental impact and improved resource utilization for sustainable communities.

How To Cite

"Automated Waste Segregator", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.12, Issue 4, page no.a674-a677, April-2025, Available :https://tijer.org/TIJER/papers/TIJER2504101.pdf

Issue

Volume 12 Issue 4, April-2025

Pages : a674-a677

Other Publication Details

Paper Reg. ID: TIJER_157351

Published Paper Id: TIJER2504101

Downloads: 000319

Research Area: Science and Technology

Country: Pune, Maharashtra, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2504101

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2504101

About Publisher

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

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