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Author(s): Jatin Bora, Dharmesh Lodhi, Arpita Gupta

Email(s): jatinb358@gmail.com

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    Department of Electronics and Communication Engineering, IIMT College of Engineering, Greater Noida, UP, India

Published In:   Volume - 5,      Issue - 1,     Year - 2025

DOI: 10.55878/SES2025-5-1-8  

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ABSTRACT:
This paper presents an advanced automated waste segregation system with real-time monitoring, implemented using Arduino and multi-sensor technology. The proposed system addresses critical challenges in waste management by ensuring proper segregation and containment, thereby enhancing the recyclable value of materials while minimizing health risks. Manual waste handling poses significant hazards, including disease transmission and infections; our automated solution mitigates these risks by reducing human exposure through rapid, enclosed processing. The system incorporates infrared (IR) sensors, proximity detectors, and rain sensors to classify waste accurately, while a DC motor facilitates mechanical sorting. A TFT display provides real-time monitoring of segregated waste quantities, enabling industries to optimize recycling processes and maximize resource recovery. By integrating microcontroller-based automation with sensor networks, this design offers a hygienic, efficient, and economically viable solution for modern waste management.

Cite this article:
Jatin Bora, Dharmesh Lodhi, Arpita Gupta (2025), Design and Development of an Advanced Waste Segregation System, Spectrum of Emerging Sciences, 5 (1) 41-45, 10.55878/SES2025-5-1-8DOI: https://doi.org/10.55878/SES2025-5-1-8


. REFERENCES

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2.      Wilson JS, editor. Sensor Technology Handbook. Amsterdam: Elsevier Inc.; 2005.

3.      Naveen N. Automated waste segregator using Arduino. Int J Adv Eng Res Dev. 2018;5(5).

4.      Smith AG. Introduction to Arduino: A Piece of Cake. [Place unknown]: [Publisher unknown]; [Year unknown].

5.       Bajaj JS. Urban Solid Waste Management in India. New Delhi: Planning Commission, Government of India; 1995.

6.      Tiwari A, Demir MM. Advanced Sensor and Detection Materials. Hoboken (NJ): Wiley; 2014. ISBN: 978-1-118-77348-2


 

 

 

 

 

 

 

                                                                 

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