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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 12, ISSUE 5, MAY 2025

SMART WASTE SEGREGATION SYSTEM

Telugu Maddileti, Sriramadasu Kaushik, Shettipalli Vamshi, Sirikonda Karthikeya

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Abstract: This study introduces a system designed to segregate the waste automatically based on its moisture nature categorizing it into wet and dry waste automatically. The rapid increase in solid and hazardous waste due to ongoing economic growth, urbanization, and industrialization has made efficient waste management a major challenge for governments. According to the Global Waste Management Market Report 2007, municipal solid waste reached 2.02 billion tons in 2006, growing at 7% annually since 2003. Poor waste handling poses risks to public health and the environment, and effective waste separation is key to unlocking its economic value. However, most households lack systems to separate waste into dry, wet, and metallic categories. To address this, we propose a Waste Segregator Robotic (WSR) system-an affordable and easy-to-use solution that separates waste using capacitive sensors. It identifies dry and wet waste, detects trash levels and foul odors, tracks relocation, and sends alerts to responsible personnel. Experimental results confirm the system's effectiveness in automating waste segregation and improving home-level waste management.

Keywords: Waste Segregation, IoT, Arduino, Raspberry Pi, GSM Communication, Automated Sorting etc...

How to Cite:

[1] Telugu Maddileti, Sriramadasu Kaushik, Shettipalli Vamshi, Sirikonda Karthikeya, “SMART WASTE SEGREGATION SYSTEM,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.125309

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