Autonomous Boat: Floating Trash Collector and Classifier

The rapid growth of floating trash in water bodies poses a significant environmental challenge worldwide, necessitating innovative solutions for efficient collection and management. Previous approaches, often relying on manual labor or stationary collection systems, have proven limited in scope and effectiveness. Some researchers have explored remote-controlled boats for trash detection and retrieval; however, these lack the autonomy and versatility required for comprehensive trash collection. This project addresses these limitations by combining autonomous navigation capabilities with a robust trash collection mechanism. By integrating GPS and intelligent sensors, our boat can autonomously navigate water bodies, and detect, and collect floating trash, and separate waste into metal and non-metal categories using an inductive proximity sensor. Additionally, the system features a backtracking capability to return to its original position for efficient waste disposal. The scalability and adaptability of our system holds promise for addressing water pollution on a larger scale, contributing to efforts toward cleaner and healthier aquatic ecosystems.

Authors

Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/icses63445.2024.10763206
Citations
3
Primary Topic
Offshore Engineering and Technologies
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomous Boat: Floating Trash Collector and Classifier

Sharmila K. Wagh, Ranjeetsingh Suryawanshi, Sandip Waghchaure, Viraj Jethliya et al.
3 citations
Offshore Engineering and Technologies
1.01
article

Autonomous Boat: Floating Trash Collector and Classifier

Sharmila K. Wagh, Ranjeetsingh Suryawanshi, Sandip Waghchaure, Viraj Jethliya, Vedant Sutar, Vaibhav Zendage
article en
3 citations

Abstract

The rapid growth of floating trash in water bodies poses a significant environmental challenge worldwide, necessitating innovative solutions for efficient collection and management. Previous approaches, often relying on manual labor or stationary collection systems, have proven limited in scope and effectiveness. Some researchers have explored remote-controlled boats for trash detection and retrieval; however, these lack the autonomy and versatility required for comprehensive trash collection. This project addresses these limitations by combining autonomous navigation capabilities with a robust trash collection mechanism. By integrating GPS and intelligent sensors, our boat can autonomously navigate water bodies, and detect, and collect floating trash, and separate waste into metal and non-metal categories using an inductive proximity sensor. Additionally, the system features a backtracking capability to return to its original position for efficient waste disposal. The scalability and adaptability of our system holds promise for addressing water pollution on a larger scale, contributing to efforts toward cleaner and healthier aquatic ecosystems.

Openalex Percentile: Top 24%
Offshore Engineering and Technologies
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Autonomous Boat: Floating Trash Collector and Classifier — Sharmila K. Wagh, Ranjeetsingh Suryawanshi, et al. · (2024) | TGRS Research Map | TGRS