Design and Implementation of an Intelligent Waste Bin with Real-Time Monitoring and Automated Compaction Facilities

Authors

C.S. Okafor

Department of Electronic & Computer Engineering, Nnamdi Azikiwe University, Awka (Nigeria)

I.C. Dimson

Department of Electronic & Computer Engineering, Nnamdi Azikiwe University, Awka (Nigeria)

N.C. Maduka

Department of Physics, Federal University Gusau, Zamfara (Nigeria)

S.K. Ogbuokebe

National Space Research and Development Agency, Abuja (Nigeria)

Article Information

DOI: 10.51244/IJRSI.2026.1306000159

Subject Category: Engineering

Volume/Issue: 13/6 | Page No: 2109-2127

Publication Timeline

Submitted: 2026-06-07

Accepted: 2026-06-12

Published: 2026-06-29

Abstract

In many urban and rural regions, ineffective waste management techniques pose a serious threat to human health, the environment, and municipal budgets. In order to improve garbage disposal efficiency, this project demonstrates the design and implementation of an intelligent waste management system with automatic waste compaction and real-time monitoring. In order to monitor waste levels, initiate compaction, and alert authorities for prompt evacuation, the system combines ultrasonic sensors, an ATMEGA 328P microcontroller, DC motors, and a GSM communication module. To guarantee dependability, every system component—including the sensing, power, communication, and compaction mechanisms—was created and tested gradually. In addition to delivering SMS warnings when the bin is full, the microcontroller uses sensor data to operate the opening, closing, and compaction operations. Evaluation of the system's performance showed that it operated efficiently, with a low latency of 5.6 seconds for opening and 15.8 seconds for compaction. Over ten trials, the system was 100% available. To guarantee seamless functioning, issues including power management and sensor calibration were resolved. The research work shows how adding intelligent features can boost environmental safety, decrease overflow, and improve waste management

Keywords

Intelligent Waste Bin, Automated Compaction, Real-Time Monitoring, Latency, Microcontroller, Sensor

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