Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering

DOI: http://dx.doi.org/10.15439/2024R71

Citation: Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering, Vijender Kumar Solanki, Tran Duc Tan, Pradeep Kumar, Manuel Cardona (eds). ACSIS, Vol. 42, pages 23–28 (2024)

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Abstract. This paper presents the design and implementationof Eco Buddy, an automated waste classification system combining IoT and computer vision. The platform integrates anESP32 microcontroller, Raspberry Pi 5, and sensors for real-timewaste detection and sorting. Using TensorFlow Lite, the systemachieves 95\% accuracy in distinguishing between aluminum cans,plastic bottles and anomalies. The platform includes an IoTdashboard for monitoring and a gamified rewards system topromote recycling. This cost-effective solution demonstrates thepractical application of robotics in environmental sustainability.

References

1. I. Voukkali, I. Papamichael, P. Loizia, et al., “Urbanization and solid waste production: prospects and challenges,” Environmental Science and Pollution Research, vol. 31, pp. 17678–17689, 2024.
2. G. Kumar, S. Vyas, S. Sharma, and K. Dehalwar, “Challenges of environmental health in waste management for peri-urban areas,” in Solid Waste Management (M. Nasr and A. Negm, eds.), Sustainable Development Goals Series, Springer, Cham, 2024.
3. E. Ramos, A. G. Lopes, and F. Mendonça, “Application of machine learning in plastic waste detection and classification: A systematic review,” Processes, vol. 12, no. 8, p. 1632, 2024.
4. A. Satav, S. Kubade, C. Amrutkar, et al., “A state-of-the-art review on robotics in waste sorting: scope and challenges,” International Journal of Interactive Design and Manufacturing, vol. 17, pp. 2789–2806, 2023.
5. C. Lubongo, M. A. A. Bin Daej, and P. Alexandridis, “Recent developments in technology for sorting plastic for recycling: The emergence of artificial intelligence and the rise of the robots,” Recycling, vol. 9, no. 4, p. 59, 2024.
6. S. Gutiérrez, I. Martı́nez, J. Varona, M. Cardona, and R. Espinosa, “Smart mobile lora agriculture system based on internet of things,” in 2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX), pp. 1–6, 2019.
7. S. Gutiérrez, L. Islas, F. M. Ibanez, M. Cardona, J. Calzada, and V. K. Solanki, “Wireless ammeter based on zigbee for continuous monitoring of induction motors,” in 2019 IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX), pp. 1–6, 2019.
8. L. Megalan Leo., S. Yogalakshmi., A. Jerrin Simla., R. Prabu, P. Sathish Kumar, and G. Sajiv., “An iot based automatic waste segregation and monitoring system,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), pp. 1262–1267, 2022.
9. G. Gomathy, P. Kalaiselvi, D. Selvaraj, D. Dhinakaran, A. T. P, and D. Arul Kumar, “Automatic waste management based on iot using a wireless sensor network,” in 2022 International Conference on Edge Computing and Applications (ICECAA), pp. 629–634, 2022.
10. A. N. Venkatesh, G. Manimala, P. A. K. Reddy, and S. S. Arumugam, “Iot based solid waste management system: A conceptual approach with an architectural solution as a smart city application,” Nucleation and Atmospheric Aerosols, 2021.
11. J.-S. Zhao, X.-C. Sun, and S.-T. Wei, “Kinematics and statics of the gough-stewart platform,” Applied Sciences, vol. 13, no. 18, p. 10150, 2023.
12. M. Cardona, D. Marroquı́n, B. Salazar, I. Gómez, and S. Gutiérrez, “Explosive gas detection and alert system using internet of things,” in Research in Intelligent and Computing in Engineering (R. Kumar, N. H. Quang, V. Kumar Solanki, M. Cardona, and P. K. Pattnaik, eds.), (Singapore), pp. 291–298, Springer Singapore, 2021.
13. International Organization for Standardization, Information Processing Systems - Open Systems Interconnection - Basic Reference Model. Geneva, Switzerland: ISO/IEC, 1994. ISO/IEC 7498-1:1994.
14. “IEEE standard for information technology—telecommunications and information exchange between systems local and metropolitan area networks—specific requirements part 11: Wireless lan medium access control (mac) and physical layer (phy) specifications,” Dec 2016.
15. V. M. Garcia Gomez, M. Cardona, D. Aguilar, and J. L. Ordoñez-Avila, “Design of a end effector for coffee bean quality monitoring through iot,” in 2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT), pp. 1–6, 2023.
16. V. M. Garcia Gomez, M. Cardona, D. Aguilar, and J. L. Ordoñez-Avila, “Design of a end effector for coffee bean quality monitoring through iot,” in 2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT), pp. 1–6, 2023.
17. J. Alvarado, F. Ramos, J. Rosales, M. Cardona, and C. Garzón, “Digitization of electrical energy reading for residential users using iot technology,” in 2022 IEEE Central America and Panama Student Conference (CONESCAPAN), pp. 1–4, 2022.
18. J. C. Durón, S. Gutiérrez, M. Cardona, and V. K. Solanki, “Street lamp monitoring using iot based on node-red,” in Research in Intelligent and Computing in Engineering (R. Kumar, N. H. Quang, V. Kumar Solanki, M. Cardona, and P. K. Pattnaik, eds.), (Singapore), pp. 215–222, Springer Singapore, 2021.
19. J. Choi, B. Lim, and Y. Yoo, “Advancing plastic waste classification and recycling efficiency: Integrating image sensors and deep learning algorithms,” Applied Sciences, vol. 13, no. 18, p. 10224, 2023.
20. N. Gabdullin and A. Raskovalov, “Google coral-based edge computing person reidentification using human parsing combined with analytical method,” 2022.
21. X. Li and R. Grammenos, “A smart recycling bin using waste image classification at the edge,” 2022.