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  Published Paper Details:

  Paper Title

Automatic Waste Segregation System

  Authors

  Mr. Rahul Khalge,  Mr. Sanket Rasal,  Mr. Ajay Raut,  Mr. Mayuresh Shinde,  Prof. Sachin Nikam,

  Keywords

Arduino Mega, IR Sensor, DC Motor, Rotary Indexer, Container, etc.

  Abstract


The Automatic Waste Segregation System aims to enhance waste management practices by efficiently sorting waste into three categories: wet waste, dry waste, and metallic waste. Utilizing advanced sensor technologies, this system leverages an LM393 IC moisture sensor to detect the moisture content in waste, effectively identifying wet organic materials such as food scraps. Additionally, an infrared (IR) sensor is employed to distinguish dry waste, including paper, plastics, and textiles, based on the reflective properties of the materials. To further enhance the sorting process, a metal detector is integrated to identify and segregate metallic waste, ensuring that recyclables are collected accurately. The automation of waste segregation not only reduces the manual labor involved in traditional waste sorting methods but also increases the accuracy and efficiency of the process. This system is designed to operate autonomously, with real-time monitoring and feedback mechanisms that allow for seamless integration into existing waste management infrastructures.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504614

  Paper ID - 282293

  Page Number(s) - f319-f322

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Rahul Khalge,  Mr. Sanket Rasal,  Mr. Ajay Raut,  Mr. Mayuresh Shinde,  Prof. Sachin Nikam,,   "Automatic Waste Segregation System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.f319-f322, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504614.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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