Mobile-Based Smart Monitoring Garbage System Using IoT and Flutter for Efficient Waste Management

Efficient waste management is a critical challenge in developing smart cities, where traditional collection methods often lead to overflowing bins, resource inefficiency, and environmental pollution. This paper presents the design and development of a Mobile-Based Smart Monitoring Garbage System that integrates Internet of Things (IoT) sensors with a Flutter-based mobile application to enable real-time monitoring and management of garbage bins. Ultrasonic sensors are deployed to measure bin fill levels, while a GPS module tracks bin location. Data from these sensors are transmitted via Wi-Fi to a Firebase Realtime Database, where authorized users: administrators and staff can monitor waste levels and locations through a mobile interface. The study employs quantitative method incorporate with Agile methodology, with iterative design, testing, and user feedback to enhance performance and usability. Experimental testing across multiple bins in urban settings demonstrated accurate real-time monitoring and significant improvements in waste collection efficiency. The results show that timely notifications and optimized routing reduce operational costs and prevent bin overflow. The proposed system offers a scalable and sustainable solution for smart waste management, contributing to cleaner urban environments and more efficient municipal operations.

IoT, Smart Waste Management, Mobile Application, Flutter

1. Vishnu, S., Ramson, S. R. J., Senith, S., Anagnostopoulos, T., Abu-Mahfouz, A. M., Fan, X., Srinivasan, S., & Kirubaraj, A. A. (2021). IoT-Enabled solid waste management in smart cities. Smart Cities, 4(3), 1004–1017. https://doi.org/10.3390/smartcities4030053 [Google Scholar] [Crossref]

2. Ramson, S. R. J., Moni, D. J., Vishnu, S., Anagnostopoulos, T., Kirubaraj, A. A., & Fan, X. (2021). An IoT-based bin level monitoring system for solid waste management. Journal of Material Cycles and Waste Management, 23, 516–525. https://doi.org/10.1007/s10163-020-01137-9 [Google Scholar] [Crossref]

3. Saha, S., & Chaki, R. (2023). IoT based smart waste management system in aspect of COVID-19. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100048. https://doi.org/10.1016/j.joitmc.2023.100048 [Google Scholar] [Crossref]

4. Alnanih, R., Elrefaei, L., & Al-Ahwal, A. (2025). Advancing sustainability through an IoT-driven smart waste management system with software engineering integration. Sustainability, 17(21), 9803. https://doi.org/10.3390/su17219803 [Google Scholar] [Crossref]

5. Sosunova, I., & Porras, J. (2022). IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review. IEEE Access, 10, 73326–73363. https://doi.org/10.1109/ACCESS.2022.3188308 [Google Scholar] [Crossref]

6. Ahmed, M. M., Hassanien, E., & Hassanien, A. E. (2023). IoT-based intelligent waste management system. Neural Computing and Applications, 35, 23551–23579. https://doi.org/10.1007/s00521-023-08970-7 [Google Scholar] [Crossref]

7. Szpilko, D., De La Torre Gallegos, A., Jiménez Naharro, F., Rzepka, A., & Remiszewska, A. (2023). Waste management in the smart city: Current practices and future directions. Resources, 12, Article 115. https://doi.org/10.3390/resources12100115 [Google Scholar] [Crossref]

8. Zoumpoulis, P., Konstantinidis, F. K., Tsimiklis, G., & Amditis, A. (2024). Smart bins for enhanced resource recovery and sustainable urban waste practices in smart cities: A systematic literature review. Cities, 152, Article 105150. https://doi.org/10.1016/j.cities.2024.105150 [Google Scholar] [Crossref]

9. Sheng, T. J., Islam, M. S., Misran, N., Baharuddin, M. H., Arshad, H., Islam, M. R., Chowdhury, M. E. H., Rmili, H., & Islam, M. T. (2020). An Internet of Things based smart waste management system using LoRa and TensorFlow deep learning model. IEEE Access, 8, 148793–148811. https://doi.org/10.1109/ACCESS.2020.3016255 [Google Scholar] [Crossref]

10. Ghahramani, M., Zeng, M., Molter, A., & Pilla, F. (2022). IoT-based route recommendation for an intelligent waste management system. IEEE Internet of Things Journal, 9(14), 11883–11892. https://doi.org/10.1109/JIOT.2021.3132126 [Google Scholar] [Crossref]

11. Pardini, K., Rodrigues, J. J. P. C., Kozlov, S. A., Kumar, N., Furtado, V., & de Albuquerque, V. H. C. (2020). A smart waste management solution geared towards citizens. Sensors, 20(8), 2380. https://doi.org/10.3390/s20082380 [Google Scholar] [Crossref]

12. Cheema, S. M., Hannan, A., & Pires, I. M. (2022). Smart waste management and classification systems using cutting edge approach. Sustainability, 14(16), 10226. https://doi.org/10.3390/su141610226 [Google Scholar] [Crossref]

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