AI-Driven Bio-Waste Classification and Bin Management System Using Sensor Fusion and IOT

The bio-waste classification and bin management system leverages AI, sensor fusion, and IoT technology to enhance waste management efficiency. It employs infrared, ultrasonic, and gas sensors for accurate waste classification and real-time bin monitoring. Smart bins equipped with sensors detect fill levels and alert the system when full, enabling automated scheduling of waste collection on a first-come, first-served basis through a synchronized mobile app. The system optimizes waste collection routes, reduces fuel consumption, and incorporates hazard detection mechanisms to identify toxic and flammable materials. A threshold algorithm determines optimal waste sorting criteria, improving precision and ensuring accurate segregation into composting and recycling streams biodegradable and non-biodegradable, respectively. Cloud-based analytics facilitate large-scale deployment, while seamless integration into smart cities promotes automation, scalability, and cost-effectiveness. Designed to support sustainability and circular economy principles, the system enhances operational efficiency, reduces landfill usage, and streamlines waste management processes.

Authors

Publication Details

Published
2025-04-29
DOI
https://doi.org/10.1109/aimla63829.2025.11040495
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
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article

AI-Driven Bio-Waste Classification and Bin Management System Using Sensor Fusion and IOT

G. M., V. Banupriya, P Renugadevi, A. T. et al.
1 citations
Smart Agriculture and AI
1.75
article

AI-Driven Bio-Waste Classification and Bin Management System Using Sensor Fusion and IOT

G. M., V. Banupriya, P Renugadevi, A. T., C Unnamalai
article en
1 citations

Abstract

The bio-waste classification and bin management system leverages AI, sensor fusion, and IoT technology to enhance waste management efficiency. It employs infrared, ultrasonic, and gas sensors for accurate waste classification and real-time bin monitoring. Smart bins equipped with sensors detect fill levels and alert the system when full, enabling automated scheduling of waste collection on a first-come, first-served basis through a synchronized mobile app. The system optimizes waste collection routes, reduces fuel consumption, and incorporates hazard detection mechanisms to identify toxic and flammable materials. A threshold algorithm determines optimal waste sorting criteria, improving precision and ensuring accurate segregation into composting and recycling streams biodegradable and non-biodegradable, respectively. Cloud-based analytics facilitate large-scale deployment, while seamless integration into smart cities promotes automation, scalability, and cost-effectiveness. Designed to support sustainability and circular economy principles, the system enhances operational efficiency, reduces landfill usage, and streamlines waste management processes.

Responsible consumption and production
Openalex Percentile: Top 14%
Smart Agriculture and AI
1.75
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