Smart Waste Collection Management System

Waste management remains a critical challenge in urban areas due to the increasing volume of waste and inefficient segregation practices. Poor waste segregation at the source leads to contamination of recyclable materials, increased landfill use, and higher processing costs, making it difficult to implement sustainable waste management systems. To address these issues, this project proposes a smart bin system that leverages Internet of Things (IoT) technology and advanced sensors such as moisture sensors, inductive proximity sensors, and capacitive proximity sensors. The smart bin automates the identification and segregation of waste into organic, metallic, and non-metallic categories, promoting source segregation as a key solution to the waste management problem. By accurately segregating waste at the point of disposal, this system reduces the need for manual sorting and improves the efficiency of recycling processes. The data collected through the sensors is transmitted to a cloud platform for real-time monitoring and analysis, enabling better decision-making in waste management strategies. This automated solution aims to enhance sustainability efforts by reducing environmental pollution and improving resource recovery rates, making it a scalable and effective approach for modern cities.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/iccsp64183.2025.11089300
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
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article

Smart Waste Collection Management System

Shanmugam Kolangiammal, Md. Sayzar Rahman Akash, Vimala Prakash S, Kamal Raj P
Recycling and Waste Management Techniques
article

Smart Waste Collection Management System

Shanmugam Kolangiammal, Md. Sayzar Rahman Akash, Vimala Prakash S, Kamal Raj P
article en

Abstract

Waste management remains a critical challenge in urban areas due to the increasing volume of waste and inefficient segregation practices. Poor waste segregation at the source leads to contamination of recyclable materials, increased landfill use, and higher processing costs, making it difficult to implement sustainable waste management systems. To address these issues, this project proposes a smart bin system that leverages Internet of Things (IoT) technology and advanced sensors such as moisture sensors, inductive proximity sensors, and capacitive proximity sensors. The smart bin automates the identification and segregation of waste into organic, metallic, and non-metallic categories, promoting source segregation as a key solution to the waste management problem. By accurately segregating waste at the point of disposal, this system reduces the need for manual sorting and improves the efficiency of recycling processes. The data collected through the sensors is transmitted to a cloud platform for real-time monitoring and analysis, enabling better decision-making in waste management strategies. This automated solution aims to enhance sustainability efforts by reducing environmental pollution and improving resource recovery rates, making it a scalable and effective approach for modern cities.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 75%
Recycling and Waste Management Techniques
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