Smart Garbage Monitoring System Using IoT

Abstract: This paper presents a smart garbage monitoring system leveraging Internet of Things (IoT) technology to optimize waste management in urban areas. The system is designed to detect the waste level in garbage bins using ultrasonic sensors and communicate real-time data to municipal authorities via the Blynk IoT platform. The proposed solution addresses inefficient waste collection processes and helps maintain hygienic urban environments by ensuring bins are emptied before overflowing. Key components include Arduino Uno, ultrasonic sensors, GSM modules, and IoT-based data visualization through Blynk. The methodology encompasses three phases: sensing and data acquisition, wireless transmission using GSM, and real-time visualization via mobile application. This system reduces manual monitoring efforts, facilitates timely garbage collection, and supports scalable implementation across cities. Results show consistent bin-level detection, reliable SMS alerts to the control center, and seamless IoT integration, making the prototype an effective model for smart city waste management initiatives.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-14
DOI
https://doi.org/10.22214/ijraset.2025.70543
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Garbage Monitoring System Using IoT

Bhuvan Girhepunje
International Journal for Research in Applied Science and Engineering Technology
Fire Detection and Safety Systems
article

Smart Garbage Monitoring System Using IoT

Bhuvan Girhepunje
article en

Abstract

Abstract: This paper presents a smart garbage monitoring system leveraging Internet of Things (IoT) technology to optimize waste management in urban areas. The system is designed to detect the waste level in garbage bins using ultrasonic sensors and communicate real-time data to municipal authorities via the Blynk IoT platform. The proposed solution addresses inefficient waste collection processes and helps maintain hygienic urban environments by ensuring bins are emptied before overflowing. Key components include Arduino Uno, ultrasonic sensors, GSM modules, and IoT-based data visualization through Blynk. The methodology encompasses three phases: sensing and data acquisition, wireless transmission using GSM, and real-time visualization via mobile application. This system reduces manual monitoring efforts, facilitates timely garbage collection, and supports scalable implementation across cities. Results show consistent bin-level detection, reliable SMS alerts to the control center, and seamless IoT integration, making the prototype an effective model for smart city waste management initiatives.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 88%
Fire Detection and Safety Systems
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