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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Smart Dustbin monitoring and alert system using IOT
Authors Name: Gorla Buchayyagari Sumanth , Devalla Guru Kiran , Chakala Ravi Ram , Dintakurthi Mahidhar
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IJRTI_188424
Published Paper Id: IJRTI2311024
Published In: Volume 8 Issue 11, November-2023
DOI: https://doi.org/10.5281/zenodo.10119520
Abstract: This paper proposes a smart bin system that uses Internet of Things (IOT) to monitor the garbage level in urban areas. The system consists of sensors that measure the fill level of the garbage bins and send the data to a cloud server. The server analyzes the data and notifies the municipality when the garbage bins are about to overflow, so that they can be cleared in time. This way, the system prevents pollution problems caused by overfilled garbage bins and helps the nearby residents to keep their environment clean. The paper also discusses the design, implementation and evaluation of the smart bin system and its benefits for waste management.
Keywords: smartbin, Internet of Things, garbage, cloud server, waste management
Cite Article: "Smart Dustbin monitoring and alert system using IOT", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 11, page no.179 - 182, November-2023, Available :http://www.ijrti.org/papers/IJRTI2311024.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
Publication Details: Published Paper ID: IJRTI2311024
Registration ID:188424
Published In: Volume 8 Issue 11, November-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10119520
Page No: 179 - 182
Country: Kadapa, Andhra Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2311024
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2311024
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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