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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47561

Smart Compression Bin

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47561

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47561

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AV

Abhay Verma1

AK

Anuj Kanchal2

KG

Keshav Gautam3

MF

Mohammed Fardeen4

NG

Neeraj Godwal5

SS

Suman Sharma

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Abstract

The exponential growth of urban populations has led to an increasing volume of municipal solid waste, challenging traditional waste management practices in terms of efficiency, cost, and environmental sustainability. The Smart Compression Bin presents an innovative solution that integrates real-time monitoring, automated waste compression, and wireless communication to improve public waste collection systems. The bin uses ultrasonic sensors to detect fill levels, triggering a compression mechanism when capacity thresholds are reached. This not only maximizes storage space by reducing the volume of waste by up to 60%, but also minimizes the frequency of collection trips, reducing fuel consumption and labour costs. A microcontroller coordinates system functions and communicates bin status to a central dashboard via wireless modules, enabling timely and data-driven collection strategies. Powered by a rechargeable battery supported by solar panels, the system emphasizes energy efficiency and low maintenance. Field testing confirmed the system’s reliability, responsiveness, and effectiveness in various operational conditions. This paper contributes to smart city development by offering a scalable, eco-friendly approach to waste management, addressing key urban challenges through intelligent automation and IoT integration

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Cite This Article

Abhay Verma1, Anuj Kanchal2, Keshav Gautam3, Mohammed Fardeen4, Neeraj Godwal5, Suman Sharma, "Smart Compression Bin," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47561

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Publication Date

12/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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6

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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