Real-Time Automated Solid Waste Segregation System
Keywords:
Arduino Uno, IR sensor, Metal detection, Moisture sensor, Sensor, Smart waste segregation, Solid waste managementAbstract
The real-time automated solid waste segregation system is an advanced and eco-friendly waste management solution developed to improve the process of waste collection and segregation. The rapid increase in population, urbanization, and industrial growth has led to a significant rise in waste generation, creating serious environmental and health-related issues. Improper disposal and manual segregation of waste not only consume time and labour but also increase the risk of pollution and diseases. To overcome these challenges, this project proposes an automated system capable of identifying and separating different categories of waste, such as wet waste, dry waste, and metal waste, using intelligent sensing technologies. The system is designed using a microcontroller integrated with various sensors such as moisture sensors, metal detectors, and infrared sensors. These sensors help in detecting the physical properties of waste materials and classify them accordingly. Once the waste type is identified, the microcontroller processes the input data and activates the appropriate mechanism to direct the waste into separate containers. The automation of the segregation process improves efficiency, reduces human effort, and increases the accuracy of waste classification.
References
A. Nigam, “Interfacing of automatic waste segregation system using Arduino UNO,” in Mechatronics and Automation Technology, J. Xu, Ed., IOP Press, 2024, pp. 780–787.
P. Jegadeeshwari, M. Nagadurgarao, N. Raviteja, and P. Balakrishna, “Arduino-based automated waste segregation system for efficient recycling,” Journal of Electrical Engineering and Automation, vol. 8, no. 1, pp. 25–39, Mar. 2026.
G. Aahash, V. Ajay Prasath, D. Gopinath, and M. Gunasekaran, “Automatic waste segregator using Arduino,” International Journal of Engineering Research & Technology (IJERT), vol. 6, no. 7, pp. 1–3, 2018.
L. Megalan Leo., S. Yogalakshmi., A. Jerrin Simla., R. T. Prabu, P. Sathish Kumar and G. Sajiv., “An IoT based automatic waste segregation and monitoring system,” 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India, 2022, pp. 1262–1267.
M. Anbalakan, T. Siva, K. Srijith, R. Srisurya and N. Subramanian, “Automatic waste segregation system,” International Journal of Intellectual Advancements and Research in Engineering Computations, vol. 8, no. 3, pp. 438–444, May 2021.
C. E. Tan, V. J. M. C. Siason, P. A. P. Palomo, M. G. S. Salibio, A. A. Ibarra, and J. A. Limos-Galay, “Automated waste segregation system using Arduino Uno R3,” International Journal of Research Studies in Educational Technology, vol. 8, no. 3, pp. 89–97, Jul. 2024.
M. A. Raqeeb, J. S. Reddy, J. Prasad, R. Gopinath, and A. P. R. Satya, “Embedded system-based smart waste classification for sustainable waste management,” International Journal of Engineering Research and Science & Technology, vol. 22, no. 2, pp. 2179–2187, Apr. 2026.
M. Thamarai and V. S. Naresh, “Smart self-power generating garbage management system using deep learning for smart cities,” Microprocessors and Microsystems, vol. 98, Apr. 2023.
M. Faccio, A. Persona and G. Zanin, “Waste collection multi objective model with real time traceability data,” Waste Management, vol. 31, no. 12, pp. 2391–2405, Dec. 2011.
S. Longhi et al., “Solid waste management architecture using wireless sensor network technology,” 2012 5th International Conference on New Technologies, Mobility and Security (NTMS), Istanbul, Turkey, 2012, pp. 1–5.
A. Medvedev, P. Fedchenkov, A. Zaslavsky, T. Anagnostopoulos, and S. Khoruzhnikov, “Waste management as an IoT-enabled service in smart cities,” Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2015, pp. 104–115.
S. Kumar, M. Kaur and N. Rakesh, “IoT-based smart waste management system,” Innovations in Information and Communication Technologies, Jan. 2021, pp. 133–139.
Arduino, “UNO R3,” Arduino Documentation, 2025.