Smart Waste Management System Using IoT forEfficient Segregation

The increasing urban population and industrialization have led to an exponential rise in waste generation, posing significant environmental and health challenges.Traditional waste management systems, relying heavily on manual labor, are inefficient and error-prone.This paper proposes a Smart Waste Segregation System that integrates Internet of Things (IoT) and advanced sensor technologies to address these challenges.The system automatically categorizes waste into dry, wet, and metallic categories using ultrasonic, moisture, and inductive proximity sensors and ensures efficient collection and recycling.By leveraging real-time monitoring and automation, the system minimizes human intervention, reduces resource wastage, and prevents environmental degradation.This research consolidates findings from previous studies, highlights innovative design improvements, and presents a modified, cost-effective, and scalable system aimed at revolutionizing urban waste management.Additionally, the system's integration with IoT platforms enables better decision-making and promotes sustainable waste management practices.

Authors

Publication Details

Journal
IJARCCE
Published
2025-09-28
DOI
https://doi.org/10.17148/ijarcce.2025.14910
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Smart Waste Management System Using IoT forEfficient Segregation

Ms. Isha Ms. Sarbjeet Kaur
IJARCCE
IoT-based Smart Home Systems
article

Smart Waste Management System Using IoT forEfficient Segregation

Ms. Isha Ms. Sarbjeet Kaur
article en

Abstract

The increasing urban population and industrialization have led to an exponential rise in waste generation, posing significant environmental and health challenges.Traditional waste management systems, relying heavily on manual labor, are inefficient and error-prone.This paper proposes a Smart Waste Segregation System that integrates Internet of Things (IoT) and advanced sensor technologies to address these challenges.The system automatically categorizes waste into dry, wet, and metallic categories using ultrasonic, moisture, and inductive proximity sensors and ensures efficient collection and recycling.By leveraging real-time monitoring and automation, the system minimizes human intervention, reduces resource wastage, and prevents environmental degradation.This research consolidates findings from previous studies, highlights innovative design improvements, and presents a modified, cost-effective, and scalable system aimed at revolutionizing urban waste management.Additionally, the system's integration with IoT platforms enables better decision-making and promotes sustainable waste management practices.

IJARCCEVol. 14(9)
Openalex Percentile: Top 74%
IoT-based Smart Home Systems
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