Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The rapid increase in municipal solid waste has created an urgent demand for intelligent segregation systems capable of improving recycling efficiency while minimizing manual handling. This study presents the development of an Arduino-based smart electro-mechanical waste segregation system integrating hybrid sensor classification, motorized rotating segregation, and IoT-enabled monitoring. Metallic, wet, and dry waste are identified using inductive proximity sensing and moisture detection, while an ultrasonic sensor continuously monitors bin capacity and enables automated GSM alerts. The proposed system emphasizes compact design, low-cost implementation, and reliable automation suitable for domestic and institutional environments. Experimental evaluation demonstrates segregation accuracy of approximately 91% with stable indoor operation. The developed prototype provides an efficient and scalable solution toward smart waste management systems.
"Development Of An Arduino-Based Smart Electro-Mechanical Waste Segregation System With Automated Sorting", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.b9-b15, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602103.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator