EcoTrack: AI-Powered Smart Waste Management System

The garbage output has been climbing sharply because of urbanization and increase in population, it's being critical to have efficient waste management. EcoTrack, an integrated IoT and AI-based smart waste management system has been designed to increase the trash and garbage collection efficiency. The system detects the level of garbage using IoT sensors and employs SARIMA-based predictive analytics to recommend the optimum garbage pickup routes. The proposed strategy aims to improve and simplify collection schedules and reduce environmental impact. Additionally, EcoTrack offers a real-time dashboard which monitors the garbage accumulation, and shows analytics for better decision-making, and a dynamic route recommendation system is provided for local authorities. With these enhancements, the system significantly boosts waste collection efficiency, promotes recycling, and reduces operational costs.

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Publication Details

Published
2025-03-27
DOI
https://doi.org/10.1109/icfts62006.2025.11032071
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
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article

EcoTrack: AI-Powered Smart Waste Management System

R Surya, R S Shanmuga Sundaram, V S Subhikshni, J Kasthuri
Internet of Things and AI
article

EcoTrack: AI-Powered Smart Waste Management System

R Surya, R S Shanmuga Sundaram, V S Subhikshni, J Kasthuri
article en

Abstract

The garbage output has been climbing sharply because of urbanization and increase in population, it's being critical to have efficient waste management. EcoTrack, an integrated IoT and AI-based smart waste management system has been designed to increase the trash and garbage collection efficiency. The system detects the level of garbage using IoT sensors and employs SARIMA-based predictive analytics to recommend the optimum garbage pickup routes. The proposed strategy aims to improve and simplify collection schedules and reduce environmental impact. Additionally, EcoTrack offers a real-time dashboard which monitors the garbage accumulation, and shows analytics for better decision-making, and a dynamic route recommendation system is provided for local authorities. With these enhancements, the system significantly boosts waste collection efficiency, promotes recycling, and reduces operational costs.

Vinayaka Missions University (IN)
Responsible consumption and production
Openalex Percentile: Top 80%
Internet of Things and AI
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