Volume no :
10 |
Issue no :
1
Article Type :
Google Scholar
Author :
Ms.C.E.Rajaprabha , Harsha Vardhini M, Kavya S, Mirnali K, Praveen S
Published Date :
26 - March - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 8
Abstract : Rapid urbanization and population growth have significantly increased the volume of municipal solid waste, posing serious environmental and public health challenges. Traditional waste management systems often rely on manual segregation, which is inefficient, time-consuming, and prone to human error, leading to improper disposal and reduced recycling efficiency. This paper proposes an IoT-based intelligent waste segregation system aimed at automating the classification and monitoring of waste to enhance operational efficiency and sustainability.The proposed system integrates multiple sensors, including moisture sensors, metal detectors, and infrared sensors, to identify and categorize waste into biodegradable, non-biodegradable, and metallic components. A microcontroller-based architecture is employed to process sensor data, while IoT connectivity enables real-time monitoring and data transmission to cloud platforms for analysis and decision-making. The system is designed to minimize human intervention and optimize waste handling processes through automation and smart bin mechanisms.Experimental evaluation demonstrates that the proposed system achieves high segregation accuracy and improved operational efficiency compared to conventional manual methods. Performance metrics such as accuracy, response time, and system reliability indicate significant improvements, making the system suitable for deployment in smart city environments.
Keyword IoT, Smart Waste Management, Waste Segregation, Sensor-Based Automation, Smart Cities
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