Journal Home
Login
Register
Open Access Journal
Submit a Paper
Propose a Special lssue
Open Access
ARTICLE
Ai-Powered Aquatic Robots: Revolutionizing River Plastic Segregation
Issue Vol. 1 No. 01 (2024): Volume 01 Issue 01 --- Section Articles
pdf
Abstract
Plastic pollution in aquatic ecosystems poses a significant global environmental challenge, severely impacting biodiversity, water quality, and human health. Traditional waste collection methods are often inefficient, resource-intensive, and hazardous in dynamic riverine environments. This article explores the design, conceptualization, and potential implementation of an autonomous river cleaning robot integrating advanced Artificial Intelligence (AI) for precise plastic waste segregation at the source. By combining robust robotic mobility, sophisticated real-time sensing, and intelligent computer vision systems, this proposed solution aims to significantly enhance the efficiency of debris removal operations and facilitate improved recycling processes by yielding higher-quality, pre-sorted materials. The implementation of such intelligent aquatic robotics offers a scalable, sustainable, and safer approach to mitigating river plastic pollution, paving the way for healthier aquatic ecosystems and contributing to a more circular economy.
Keywords
References
Akash, R., Arulmani, P., Vignesh, C., Yogeswaran, C., & Navaneethan, N. (2024). Design and development of river cleaning robot using IoT technology. International Scientific Journal of Engineering and Management, 3(4), 1–9. https://doi.org/10.55041/isjem01627.l
Premkumar, M., Desai, C. B., Mylar, B., Chaithanya, B. K., & Monish, G. (2024). Design and development of an intelligent wireless pond/lake cleaning robot. In Proceedings of the International Conference on Advanced Computing and Intelligent Systems (IACIS 2024) (pp. 1–5). IEEE. https://doi.org/10.1109/iacis61494.2024.10721954
Sushmitha, S., Jebaraj, B. S., Vivekrabinson, K., Azarudeen, K., Priyadharshini, S., & Gnanasekaran, T. (2024). Internet of Things (IoT) based watercraft for environmental surveillance and maintenance. In Proceedings of the International Conference on Intelligent Processing and Communication Networks (ICIPCN) (Vol. 4, pp. 720–724). IEEE. https://doi.org/10.1109/icipcn63822.2024.00125
Tigulla, H. G., Sujitha, B., Kanithi, K. R., & Kumar, M. R. (2024). AI powered cleaning robot. International Journal for Multidisciplinary Research, 6(3). https://doi.org/10.36948/ijfmr.2024.v06i03.20282
Mohd, A. A. M., Shahrani, M. S., Al-Humairi, S. N., Puad, N. S. M., & Zulkipli, M. A. (2021). River water quality robot embedded with real-time monitoring system: Design and implementation. In Proceedings of the International Conference on Smart Grid and Clean Energy Technologies (ICSGRC). IEEE. https://doi.org/10.1109/ICSGRC53186.2021.9515209
N. R. (2024). Autonomous surface water cleaning robots. Indian Scientific Journal of Research in Engineering and Management. https://doi.org/10.55041/ijsrem32535
Sankar Naicker, H., Srivastava, Y., Pramod, A., Ganatra, N. P., Sood, D., Singh, S., & Guruviah, V. (2021). Water Care: Water surface cleaning bot and water body surveillance system. arXiv preprint arXiv:2111.12579. https://arxiv.org/abs/2111.12579
Carcamo, J., Shehada, A., Arda, C., Vaghasiya, N., Abdullayev, M., Melnyk, A., & Rumiński, J. (2024). AI-powered cleaning robot: A sustainable approach to waste management. In Proceedings of the International Conference on Human System Interaction (HSI) (Vol. 199, pp. 1–6). IEEE. https://doi.org/10.1109/hsi61632.2024.10613552
Chidambaram, V., Zaynab, M. A., Keerthana, J., & Hariharan, R. (2022). Design and development of river water trash collector for a sustainable environment. In Advances in Green Energy and Sustainable Computing (pp. 453–463). Springer. https://doi.org/10.1007/978-981-19-3053-9_45
Chen, L., Huang, X. R., Chen, W., Pai, W., Huang, G., & Wang, W. (2023). Design and implementation of an artificial intelligence of things-based autonomous mobile robot system for cleaning garbage. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2023.3254902
Anas, M. M., Athira, M., Suresh, A., Archana, K., & Shaji, M. (2022). Water cleaning bot with waste segregation using image processing. In Lecture Notes in Electrical Engineering (pp. 1413–1421). Springer. https://doi.org/10.1007/978-981-19-1742-4_1334
Wu, X., Wang, S., Wang, X., & He, G. (2021). A wireless real-time monitoring system on intelligent underwater pollution cleaning robot. Journal of Computational Methods in Sciences and Engineering, 21(1). https://doi.org/10.3233/JCM-204780
Huang, X., Chen, W.-H., Pai, W.-Y., Huang, G.-Z., Hu, W., & Chen, L.-B. (2022). An AI edge computing-based robotic automatic guided vehicle system for cleaning garbage. In Proceedings of the IEEE International Conference on Life Sciences and Technologies (LifeTech). IEEE. https://doi.org/10.1109/LifeTech53646.2022.9754931
Sun, H. C. (2020). A robot cleaner using artificial intelligence and control method thereof. U.S. Patent No. US20190184569A1. U.S. Patent and Trademark Office.
Alloghani, M. A. (2023). Artificial intelligence for ocean conservation: Sustainable computer vision techniques in marine debris detection and classification. In Signals and Communication Technology (pp. 99–136). Springer. https://doi.org/10.1007/978-3-031-45214-7_6
Sayem, F. R., Akter, S., Rahman, M. M., Kabir, H., Arefin, M. S., & Mahmud, M. P. (2024). Enhancing waste sorting and recycling efficiency: Robust deep learning-based approach for classification and detection. Neural Computing and Applications. https://doi.org/10.1007/s00521-024-10855-2
Dudek, M., Tomczyk, P., Wygonik, P., Korkosz, M., Bogusz, P., & Lis, B. (2013). Hybrid fuel cell–battery system as a main power unit for small unmanned aerial vehicles (UAV). International Journal of Electrochemical Science, 8(6), 8442–8463. https://doi.org/10.1016/s1452-3981(23)12901-4
Anurag, R. S. (2020). Modern Trends on Image Segmentation for Data Analysis-A Review. International Journal of Research and Development in Applied Science and Engineering, 20(1).
Srivastava, A., & Banoudha (2014), A. Techniques of Visualization of Web Navigation System. International Journal of Research and Development in Applied Science and Engineering, 6(1).
