Blockchain based solid waste classification with AI powered tracking and IoT integration

Smart waste management is vital for reducing environmental impact and improving quality of life in smart cities. This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. IoT-connected bins transmit data to a central server, which uses blockchain to ensure secure, transparent data storage. AI algorithms, including machine learning (ML) and deep learning (DL), classify waste in real-time, optimizing waste collection and recycling. Blockchain ensures data integrity, while ML and DL models enhance sorting efficiency. The system aims to improve waste management and sustainability through intelligent decision-making and secure data handling. Performance will be assessed using retrieval metrics and visualization tools to evaluate the impact of hybrid ML and DL models on waste detection and classification.

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Publication Details

Journal
Scientific Reports
Published
2025-04-30
DOI
https://doi.org/10.1038/s41598-025-97030-2
Citations
12
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
38.95

Funders

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article

Blockchain based solid waste classification with AI powered tracking and IoT integration

Aliaa M. Alabdali
12 citations
Scientific Reports
Blockchain Technology Applications and Security
38.95
article

Blockchain based solid waste classification with AI powered tracking and IoT integration

Aliaa M. Alabdali
article en
12 citations

Abstract

Smart waste management is vital for reducing environmental impact and improving quality of life in smart cities. This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. IoT-connected bins transmit data to a central server, which uses blockchain to ensure secure, transparent data storage. AI algorithms, including machine learning (ML) and deep learning (DL), classify waste in real-time, optimizing waste collection and recycling. Blockchain ensures data integrity, while ML and DL models enhance sorting efficiency. The system aims to improve waste management and sustainability through intelligent decision-making and secure data handling. Performance will be assessed using retrieval metrics and visualization tools to evaluate the impact of hybrid ML and DL models on waste detection and classification.

Scientific ReportsVol. 15(1)
King Abdulaziz University (SA)
King Abdulaziz University
Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
38.95
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