Smart Waste Segregation using IoT Technology

The Internet of Things (IoT)-based Waste Segregation System revolutionizes waste management by automating the classification of waste into wet, dry, and metal categories. Leveraging advanced sensors—including proximity, IR, and raindrop moisture detectors—the system ensures precise detection. The Arduino Uno processes sensor inputs, controlling servo and stepper motors to direct waste into appropriate bins with exceptional accuracy. A buzzer adds real-time alerts to enhance user engagement. This innovative system not only reduces human intervention but also promotes efficient recycling and sustainable waste management practices. Future integrations with cloud platforms promise real-time tracking and advanced analytics, enabling smarter and cost-effective solutions for modern waste challenges.

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-03-23
DOI
https://doi.org/10.48175/ijarsct-23993
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Waste Segregation using IoT Technology

Heena Kousar, Bharathi Bai R, Prof. Shwetha T. J., Pakalapati Arpitha
International Journal of Advanced Research in Science Communication and Technology
Municipal Solid Waste Management
article

Smart Waste Segregation using IoT Technology

Heena Kousar, Bharathi Bai R, Prof. Shwetha T. J., Pakalapati Arpitha
article en

Abstract

The Internet of Things (IoT)-based Waste Segregation System revolutionizes waste management by automating the classification of waste into wet, dry, and metal categories. Leveraging advanced sensors—including proximity, IR, and raindrop moisture detectors—the system ensures precise detection. The Arduino Uno processes sensor inputs, controlling servo and stepper motors to direct waste into appropriate bins with exceptional accuracy. A buzzer adds real-time alerts to enhance user engagement. This innovative system not only reduces human intervention but also promotes efficient recycling and sustainable waste management practices. Future integrations with cloud platforms promise real-time tracking and advanced analytics, enabling smarter and cost-effective solutions for modern waste challenges.

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 93%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.