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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

Issue per Year : 12

Volume Published : 11

Issue Published : 119

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Paper Title: Smart AI Dustbin With Automatic Sorting
Authors Name: Sriram reddy Pasam , M. Akash , M. Tanveer
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IJRTI_211364
Published Paper Id: IJRTI2604093
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: The Smart AI Dustbin with Automatic Sorting is an intelligent waste management system designed to improve efficiency and hygiene in waste disposal. This system utilizes sensors and AI-based classification techniques to automatically segregate waste into categories such as metal and dry waste. Infrared and proximity sensors enable touchless operation by allowing the lid to open automatically when a user approaches, ensuring better sanitation. The dustbin is equipped with level detection sensors to monitor the fill status in real time. The collected data is integrated with a mobile application, which displays the bin’s fill percentage and provides alerts when it reaches a predefined threshold, such as 90% capacity. This feature helps in timely waste collection and prevents overflow. By combining automation, sensor technology, and IoT connectivity, the proposed system enhances waste management practices, reduces human effort, and promotes environmental sustainability. It is particularly useful in smart cities, public spaces, and institutions where efficient waste handling is critical
Keywords: Smart Dustbin, Automatic Waste Segregation, IoT , Waste Management, Sensor-Based System, AI-Based Classification, Metal Detection, Mobile Application,
Cite Article: "Smart AI Dustbin With Automatic Sorting", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a659-a664, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604093.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: IJRTI2604093
Registration ID:211364
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: a659-a664
Country: Podili(M),Prakasam(D), Andrapradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604093
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604093
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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