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Detection and Collection of Waste Using a Partially Submerged Aquatic Robot

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Intelligent Systems and Applications (IntelliSys 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 544))

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Abstract

With the amount of waste being dispersed into oceans on the rise, mitigating this issue has become a global concern. In the past few decades, governments, scientists, organizations, and individuals have been attempting to attenuate the effects of global warming, partially caused by improper waste disposal into oceans. This study presents a solar powered, partially submerged aquatic robot constructed from recycled, recyclable, upcycled, and sustainable materials. The robot aims to provide flexibility in the choice of construction materials by not being limited to what operating system, microcontroller, motors, and robot floaters are used. This robot detects and collects seven different categories of commonly littered waste namely cardboard (95.3%), wrappers (94.1%), metal cans (93.8%), surgical face masks (93.2%), plastic bags (96.2%), polystyrene (92.6%), and plastic bottles (93.8%). The custom detection system was evaluated based on whether it is capable of detecting waste and how well if little, medium, and high movement was introduced to the robot. Furthermore, the detection system’s performance in low light situations along with the drivetrain’s effectiveness was tested. Future improvements include forming larger dataset, enhancing the detection system’s low light capabilities, and attaching a larger battery.

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Authors and Affiliations

  1. Qatar University, Doha, 2713, Qatar

    Malek Ayesh & Uvais Qidwai

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  1. Malek Ayesh
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  2. Uvais Qidwai
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Correspondence to Malek Ayesh .

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Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

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Ayesh, M., Qidwai, U. (2023). Detection and Collection of Waste Using a Partially Submerged Aquatic Robot. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-031-16075-2_9

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