Volume no :
10 |
Issue no :
1
Article Type :
Google Scholar
Author :
Dr. R. Senthilkumar, Dharun Revanth N, Aakash S, Balavijay M, Dharshan sri A
Published Date :
27 - March - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 6
Abstract : Waste management has become one of the most significant environmental challenges due to increasing population growth, rapid urbanization, and industrial expansion. Improper waste segregation at the source leads to inefficient recycling, increased landfill waste, and severe environmental pollution. Traditional waste management methods rely heavily on manual sorting processes, which are inefficient, time-consuming, and hazardous to human health. To address these challenges, this paper proposes an IoT-based Smart Waste Segregation System designed to automatically classify and segregate waste into different categories such as wet waste, dry waste, and metal waste. The proposed system utilizes Arduino-based embedded technology combined with sensors such as moisture sensors, metal detection sensors, and ultrasonic sensors to identify the type of waste. Based on the sensor readings, servo motors are used to direct the waste into the appropriate bins automatically. The integration of Internet of Things (IoT) technology allows real-time monitoring of waste levels and system status, enabling efficient waste management and timely waste collection.
Keyword Internet of Things (IoT), Smart Waste Management, Waste Segregation System, Arduino Based Automation, Environmental Sustainability, Sensor-Based Waste Classification.
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