@inproceedings{scholars18990,
            note = {cited By 0; Conference of 2023 IEEE International Conference on Sensors and Nanotechnology, SENNANO 2023 ; Conference Date: 26 September 2023 Through 27 September 2023; Conference Code:195657},
            year = {2023},
             doi = {10.1109/SENNANO57767.2023.10352554},
         journal = {2023 IEEE International Conference on Sensors and Nanotechnology, SENNANO 2023},
           title = {Unmanned Surface Vehicle for Water Wastes Collection},
           pages = {204--207},
          author = {Dunggat, D. and Nawi, I. M. and Ba Hashwan, S. S. and Khir, M. H. M. and Sadale, I. M. and Isyaku Bature, U. and Razali, A. I. and Ismail, A. and Isa, A. F. A. M. and Mansor, M. H. I. A.},
        abstract = {In recent days, widespread floods and flash floods have been caused by heavy rains in various regions of Malaysia, particularly areas near the Klang Valley. It has been revealed through investigations that river flows are obstructed by overflowing garbage and solid wastes, further exacerbating the flood situation. This finding is further supported by the subpar performance of the SMART tunnel due to obstructions in irrigation and drainage channels. To address this critical issue, the development of an unmanned surface vehicle (USV) garbage collector, operated remotely or autonomously, is proposed to effectively clean Malaysian rivers. The prototype design includes four key subsystems: obstacle avoidance (SS1), coordinate detection (SS2), live-streaming video (SS3), and movement (SS4). These subsystems are crucial for efficient navigation and debris collection by the USV garbage collector. Furthermore, the prototype's operations can be monitored and controlled by incorporating Internet of Things (IoT) technology, ensuring its effectiveness. This report delves into the detailed implementation and functionality of each subsystem and explores the potential positive impact of deploying the USV garbage collector. If successful, this innovative solution promises to mitigate flood risks, improve river health, and contribute to a cleaner and more resilient environment in Malaysia. {\^A}{\copyright} 2023 IEEE.},
        keywords = {Floods; Health risks; Internet of things; Rivers; Unmanned surface vehicles, Blynk app; Flash-floods; Garbage collectors; Guided navigation control; Malaysia; Navigation controls; Obstacles avoidance; Raspberry pi; Waste collection; Water wastes, Python},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182732242&doi=10.1109\%2fSENNANO57767.2023.10352554&partnerID=40&md5=019c8de5e05bea178ef83090f3eb960a}
}