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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM32535

Autonomous Surface Water Cleaning Robots

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM32535

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM32535

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RN

RESHIKA N

DVG

Dr VASUDEVA G

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Abstract

Water resources are indispensable for sustaining life on Earth, playing a crucial role in various ecosystems and supporting human civilization. However, the escalating levels of plastic and waste pollution in water bodies have become a pressing concern in recent years. This pollution not only disrupts aquatic ecosystems but also compromises water quality and obstructs sunlight penetration. Additionally, the advent of the coronavirus pandemic has exacerbated the problem, with the widespread usage of disposable masks, gloves, and other biomedical waste further contributing to water pollution.The improper disposal of waste, especially biomedical waste, poses significant challenges to both public health and environmental integrity. Inadequate management of such waste not only jeopardizes human well-being but also threatens the delicate balance of ecosystems. Consequently, addressing waste management has become an urgent imperative, with potentially dire consequences if left unaddressed.In response to this critical issue, our paper proposes the design of an innovative product: an autonomous water cleaning robot. This robot is engineered to efficiently tackle the problem of improper waste disposal in water bodies. Its design features a sturdy mechanical frame, complemented by advanced sensor fusion and computer vision technologies, enabling it to operate autonomously in cleaning water surfaces.The autonomous water cleaning robot serves as a proactive solution to combat water pollution effectively. Equipped with sensors and cameras, it navigates water bodies with precision, identifying and collecting floating garbage and waste materials. By harnessing the power of automation, the robot can operate continuously, covering large areas of water bodies and efficiently removing pollutants.One of the key strengths of our design is its adaptability to diverse environments and types of pollutants. The robot’s sensor fusion capabilities allow it to distinguish between various types of waste, enabling targeted and efficient cleaning. Moreover, its autonomous operation reduces the need for manual intervention, minimizing human labor and associated costs.Furthermore, the design prioritizes sustainability by incorporating environmentally friendly materials and energy-efficient components. By utilizing renewable energy sources such as solar power, the robot minimizes its carbon footprint while maximizing operational efficiency. This approach aligns with global efforts to promote sustainable practices and mitigate the impacts of climate change.In conclusion, the autonomous water cleaning robot represents a promising solution to the escalating problem of water pollution caused by improper waste disposal. Through its innovative design and advanced technologies, it offers a proactive and sustainable approach to preserving water quality and safeguarding aquatic ecosystems. By addressing the root causes of pollution and promoting responsible waste management, our design contributes to the collective effort to ensure a healthier and more sustainable future for generations to come.

KEYWORDS

Autonomous Robot surface water cleaning raspberry pi machine learning obstacle avoidance

Cite This Article

RESHIKA N, Dr VASUDEVA G, "Autonomous Surface Water Cleaning Robots," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM32535

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Publication Date

12/31/45417

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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3

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5

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