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)
Traditional waste management systems often face challenges such as overflow and missed collections. The Trash Disposal Monitoring and Management System integrates IoT sensors with a web-application to improve waste management. The system uses ultrasonic sensors to measure bin fill levels and location tracking to monitor bin positions in real-time. The data is sent to a web application, allowing users to track bin status, receive SMS alerts for full bins, and optimize collection schedules. Initial results demonstrate significant improvements in operational efficiency and resource management.
Keywords:
Internet of things , Trash Management , IOT Device , Arduino uno , sensor dectection , Bin monitoring , smart bin alert system
Cite Article:
"Trash Disposal Monitoring and Management System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.d25-d33, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504304.pdf
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ISSN:
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