Mr. Bin: An IoT-Based Smart Waste Management System

Efficient waste management is a crucial aspect of urban sustainability. "Mr. Bin: An IoT-Based Smart Waste Management System" is an innovative approach that automates waste collection through real-time monitoring. The system utilizes an Arduino microcontroller, ultrasonic sensors, and a GPS module to detect waste levels in bins and track their location. A Python middleware receives sensor data from Arduino and stores it in a MySQL database, which is then accessed by an Android app for real-time monitoring. This solution minimizes manual effort, reduces overflow issues, and enhances urban cleanliness. Future enhancements may include AI-based predictive analytics, cloud integration, and machine learning algorithms for optimized waste collection strategies.

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-03-07
DOI
https://doi.org/10.48175/ijarsct-23650
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Mr. Bin: An IoT-Based Smart Waste Management System

Mukund D. Patil, Mst. PranavBapurao Shimpi, Mst. Shubham Navnath Havale, Prof. Suwarna Nimkarde
International Journal of Advanced Research in Science Communication and Technology
Municipal Solid Waste Management
article

Mr. Bin: An IoT-Based Smart Waste Management System

Mukund D. Patil, Mst. PranavBapurao Shimpi, Mst. Shubham Navnath Havale, Prof. Suwarna Nimkarde
article en

Abstract

Efficient waste management is a crucial aspect of urban sustainability. "Mr. Bin: An IoT-Based Smart Waste Management System" is an innovative approach that automates waste collection through real-time monitoring. The system utilizes an Arduino microcontroller, ultrasonic sensors, and a GPS module to detect waste levels in bins and track their location. A Python middleware receives sensor data from Arduino and stores it in a MySQL database, which is then accessed by an Android app for real-time monitoring. This solution minimizes manual effort, reduces overflow issues, and enhances urban cleanliness. Future enhancements may include AI-based predictive analytics, cloud integration, and machine learning algorithms for optimized waste collection strategies.

International Journal of Advanced Research in Science Communication and Technology
Bharati Vidyapeeth (Deemed to be University) (IN)
Openalex Percentile: Top 95%
Municipal Solid Waste Management
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