River cleaning robot

Thayalan, Yalleni and Kanaga Naidu, Indujaa and Venugopal, Yogini and Sasikumar, Sarvina and Vimalan, Thanishka (2023) River cleaning robot. International Exhibition & Symposium On Productivity, Innovation, Knowledge & Education. pp. 761-764. ISSN 9789672948568

Official URL: https://ispike.uitm.edu.my

Abstract

The River Cleaning Robot is an innovative solution designed to address the challenges of river pollution and environmental sustainability. Rivers play a vital role in supporting ecosystems, biodiversity, and providing water resources for human consumption and agriculture. However, they are often subjected to pollution from various sources, endangering aquatic life and impacting communities. This robotic system utilizes advanced technologies, including artificial intelligence and autonomous navigation, to detect and remove debris, pollutants, and waste from rivers. Equipped with sensors and imaging systems, the robot can identify and classify different types of contaminants, such as plastic, organic matter, or chemical pollutants, enabling targeted cleaning actions. The River Cleaning Robot offers an efficient and proactive approach to river cleaning, contributing to the preservation of natural resources and promoting a healthier environment for both aquatic life and communities dependent on rivers.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Thayalan, Yalleni
kolendavelu57@gmail.com
Kanaga Naidu, Indujaa
UNSPECIFIED
Venugopal, Yogini
UNSPECIFIED
Sasikumar, Sarvina
UNSPECIFIED
Vimalan, Thanishka
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Said, Roshima
roshima712@uitm.edu.my
Chief Editor
Yusoff, Siti Norfazlina
fazlina836@uitm.edu.my
Subjects: T Technology > T Technology (General) > Technological change
T Technology > T Technology (General) > Technological change > Technological innovations
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: International Exhibition & Symposium On Productivity, Innovation, Knowledge & Education
ISSN: 9789672948568
Page Range: pp. 761-764
Keywords: Robot, Pollution, Environmental sustainability
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/128159
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128159

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