International Journal of Engineering and Modern Technology (IJEMT )
E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 11 NO. 1 2025
DOI: 10.56201/ijemt.vol.11.no1.
Babalola, T. B., Muoghalu, C. N., Achebe, P. N., and Nwafor, C. N.
The growing global challenge of waste management, particularly in urban settings, necessitates innovative solutions to mitigate environmental pollution, health hazards, and operational inefficiencies in traditional waste collection methods. This paper presents the design and implementation of an IoT-based smart trash bin system aimed at optimizing waste management processes through real-time monitoring of waste levels and the detection of hazardous gases. The system integrates laser diode sensors for waste level detection and gas sensors including TGS2611 and MQ135, for monitoring methane and ammonia emission. These sensors, combined with the ATMEGA128p microcontroller and SIM808 GSM module, allow for seamless data transmission to the ThingSpeak cloud platform for analysis and timely decision-making. The system was tested under various conditions, demonstrating high accuracy in fill-level monitoring and gas detection, with response times averaging 5.6 seconds. By providing real-time insights into waste accumulation and environmental conditions, this smart trash bin system offers an efficient, cost- effective, and scalable solution for municipalities and waste management authorities. The integration of IoT technology into waste management enhances operational efficiency, reduces environmental hazards, and promotes sustainable urban development. Future work will focus on improving system scalability and minimizing reliance on internet connectivity, making the solution viable for broader applications in both urban and rural settings.
IoT-based waste management, smart trash bin, ultrasonic sensors, real-time
Abidemi, O., Olamide, F., Adeyinka, A. and Alashiri, O. (2022) ‘Design and development of a
smart waste bin for effective waste collection’, Future Trends in Networks and Computing
Technology, pp. 363–372. doi: 10.1007/978-981-19-50-37-726.
Chandra, R. and Tawani, T. (2020) ‘Design of Smart Trash Bin’, IOP Conference Series:
Materials Science and Engineering, Vol 879, pp. 112–121.
Juwariyah, T., Krisnawati, T. and Sulasminingsih, S. (2021) ‘Design of IoT-based Smart Bins
monitoring System using Blynk’, IOP Conference Series: Materials Science and
Engineering. doi: 10.1088/1757-899x/1125/1/012078.
Li-Fen, T., Peng, Q.and Rongpan, D.(2022). “Design and Implementation of Intelligent Control
Garbage Bin”. Journal of Electrical and Computer Engineering, Volume 2022, Article
ID 7306548. School of Physics and Electronic Information Engineering, Hubei, China
Lopez, F., Da Silver, D.S., & Cardoso, J.(2018). A survey of internet of Things platforms for
smart cities”. Journal of King Saud University-Computer and Information Sciences
Mahajan, S.A., Akshay, S.K., Apoorva, S., Mrunaya, S. and Shivani, I. (2017) ‘Smart waste
management system using IoT’, International Journal of Advanced Engineering
Research and Science (IJAERS), 4(4), pp. 21–39. (9) Madakam, S., & Ramachandran,
R.(2015). “Barcelona Smart City: The Heaven on Earth”. (Internet of Things:
Technological God). ZTE Communications 13(4): 3-9
Nkolika, O., Nafiu, I. and Olanrewaju, K. (2019) ‘Development of a smart, automated waste
management system’, European Journal of Engineering and Technology, 7(2), pp. 56–75.
Ogunwolu, F., Mbonu, H., Raji, A. and Omiyale, A. (2022) ‘Design and implementation of an
IoT-based smart bin for fill level and biodegradability monitoring’, Journal of Engineering
Research, 25(3), pp. 84–89.