AI-Enabled Smart IoT Waste Bin Monitoring and Dynamic Collection System for Sustainable Urban Sanitation

Shikha Uniyal Gairola, K. Ruth Isabels, V. Priyadharsini, P. John Britto, V. Divya, Indhuja M.

2025

Abstract

Effective waste treatment is an important challenge of all of sustainable urban areas. In this paper, we propose a smart IoT based AI system that is able to monitor a real-time status of a garbage bin and also optimize waste collection automatically. This system is built based on cost-effective sensor nodes, edge-cloud connectivity, and predictive analytics for real-time monitoring of bin fill-level and environmental conditions. A machine learning routing engine allows for real-time optimization of collections based on traffic load, bin fullness, and seasonal variances in waste generation to drive operational efficiency and cost savings. It also utilizes smart waste type detection, making it easier to segregate, and provides an intelligent interface for both local bodies and the citizens. Field validation shows the high accuracy of bin monitoring, as well as low fuel consuming and resource effective, thus scalability of the solution is proven for smart city environment.

Paper Citation

in Harvard Style

Gairola S., Isabels K., Priyadharsini V., Britto P., Divya V. and M. I. (2025). AI-Enabled Smart IoT Waste Bin Monitoring and Dynamic Collection System for Sustainable Urban Sanitation. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 436-442. DOI: 10.5220/0013867300004919

in Bibtex Style

@conference{icrdicct`2525,
author={Shikha Gairola and K. Isabels and V. Priyadharsini and P. Britto and V. Divya and Indhuja M.},
title={AI-Enabled Smart IoT Waste Bin Monitoring and Dynamic Collection System for Sustainable Urban Sanitation},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={436-442},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013867300004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - AI-Enabled Smart IoT Waste Bin Monitoring and Dynamic Collection System for Sustainable Urban Sanitation
SN - 978-989-758-777-1
AU - Gairola S.
AU - Isabels K.
AU - Priyadharsini V.
AU - Britto P.
AU - Divya V.
AU - M. I.
PY - 2025
SP - 436
EP - 442
DO - 10.5220/0013867300004919
PB - SciTePress