TY  - BOOK
AU  - Amparo, Nicole Alexandria D.; Leyble, Dan Christian P.; Trajeco, Michael Angelo G.
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SN  - 2
PY  - 2024///.46
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KW  - 
KW  - 2
KW  - 0
KW  - 6
KW  - 20
N1  - Undergraduate Thesis: (Bachelor of Science  in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024; 5
N2  - ABSTRACT:  	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
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