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_e _e _aAmparo, Nicole Alexandria D.; Leyble, Dan Christian P.; Trajeco, Michael Angelo G. _d _b4 _u _c0 _q16 |
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_a _aSala: An autonomous water trash skimmer using path planning algorithm / _d _b _n _cAmparo, Nicole Alexandria D.; Leyble, Dan Christian P.; Trajeco, Michael Angelo G. _h6 _p |
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_3 _3 _a _d _b _cJanuary 2024.46 |
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_e _e _c28 cm. _axi, 209 pp. _b |
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_b _atext _2rdacontent |
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_3 _30 _b _aunmediated _2rdamedia |
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_a _aUndergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024. _d _b _c56 |
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_b _b _c _aABSTRACT: This research aims to develop and evaluate the prototype Sala. This autonomous water trash skimmer utilizes a path-planning algorithm for the effective collection of plastics, particularly microplastics reffered to as small plastic particles that are less than 5mm. These can be found in various significant aquatic habitats, encompassing oceans, lakes, and rivers. The primary objective of this is to lessen the accumulation of water and plastic trash in aquatic habitats. By effectively collecting microplastics, Sala aims to contrib ute to the preservation of marine life and the overall health of aquatic ecosystems. This research also seeks to assess the efficiency and feasibility of using autonomous technology of environmental conservation efforts. To address the issue, Sala is equipped with a dual filtration system that separates the microplastics from macroplastics. Additionally, Sala has a mobile application that has been developed to monitor the robot's activities. The application provides real-time information on the microplastics compartment's fullness and displays concentration levels of microplastics in sampled water with the help of an A02YYUW ultrasonic sensor. The mobile application also allows users to track Sala's location and movement in real-time, making it easier to manage and optimize its cleaning routes. This innovative technology also contributes to ongoing research on microplastic contamination in aquatic environments. Using Arduino Mega 2560 and GPS module Ublox Neo 6m V2, in conjunction with a path planning algorithm, facilitates the effective gathering of microplastics. Moreover, with the same GPS module, the application enables users to monitor the real-time location of the robot, enhancing its operations. Additionally, the application is equipped with a remote control function for hassle-free retrieval of the robot once the chosen path by the user for collection is done. The rapid and dependable data flow between the robot and the application is notably facilitated by ESP8266, ensuring seamless connection.Furthermore, the Arduino Mega 2560 allows for easy integration of sensors to enhance the robot's capabilities in detecting and collecting microplastics efficiently. The combination of these technologies results in a comprehensive solution for effectively managing and monitoring microplastic pollution in various environments. _u |
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