ROV Inspection System with Vision-based Color Correction and Tracking Algorithm for High Depth and Low Light Ecosystems

Diego Arce; Laureano Rodriguez; Alexander Segovia; Miguel Vargas; Cesar Carranza; Francisco Cuellar

doi:10.1109/OCEANSChennai45887.2022.9775317

ROV Inspection System with Vision-based Color Correction and Tracking Algorithm for High Depth and Low Light Ecosystems

Diego Arce
, Laureano Rodriguez
, Alexander Segovia
, Miguel Vargas
, Cesar Carranza
, Francisco Cuellar

Pontifical Catholic Univ. of Peru

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

4 Citas (Scopus)

Resumen

In this paper we present the design, implementation and preliminary tests of a high depth underwater ROV inspection system. The ROV is equipped with a sensor-based system in order to characterize the water quality of marine ecosystems, and a vision-based system to identify the marine species. The vision system includes an adaptive color correction algorithm and a tracking algorithm that improves in real time the tracking of living species during inspection. A prototype was implemented to validate the functionality of the ROV operation and the vision system algorithms.

Idioma original	Inglés
Publicación	Oceans Conference Record (IEEE)
DOI	https://doi.org/10.1109/OCEANSChennai45887.2022.9775317
Estado	Publicada - 2022
Evento	OCEANS 2022 - Chennai - Chennai, India Duración: 21 feb. 2022 → 24 feb. 2022

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 14: Vida submarina

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10.1109/OCEANSChennai45887.2022.9775317

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@article{2557d5fca9b14dac952a9414d00d3246,

title = "ROV Inspection System with Vision-based Color Correction and Tracking Algorithm for High Depth and Low Light Ecosystems",

abstract = "In this paper we present the design, implementation and preliminary tests of a high depth underwater ROV inspection system. The ROV is equipped with a sensor-based system in order to characterize the water quality of marine ecosystems, and a vision-based system to identify the marine species. The vision system includes an adaptive color correction algorithm and a tracking algorithm that improves in real time the tracking of living species during inspection. A prototype was implemented to validate the functionality of the ROV operation and the vision system algorithms.",

keywords = "ROV, Tracking algorithm, underwater inspection",

author = "Diego Arce and Laureano Rodriguez and Alexander Segovia and Miguel Vargas and Cesar Carranza and Francisco Cuellar",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; OCEANS 2022 - Chennai ; Conference date: 21-02-2022 Through 24-02-2022",

year = "2022",

doi = "10.1109/OCEANSChennai45887.2022.9775317",

language = "English",

journal = "Oceans Conference Record (IEEE)",

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TY - JOUR

T1 - ROV Inspection System with Vision-based Color Correction and Tracking Algorithm for High Depth and Low Light Ecosystems

AU - Arce, Diego

AU - Rodriguez, Laureano

AU - Segovia, Alexander

AU - Vargas, Miguel

AU - Carranza, Cesar

AU - Cuellar, Francisco

PY - 2022

Y1 - 2022

N2 - In this paper we present the design, implementation and preliminary tests of a high depth underwater ROV inspection system. The ROV is equipped with a sensor-based system in order to characterize the water quality of marine ecosystems, and a vision-based system to identify the marine species. The vision system includes an adaptive color correction algorithm and a tracking algorithm that improves in real time the tracking of living species during inspection. A prototype was implemented to validate the functionality of the ROV operation and the vision system algorithms.

AB - In this paper we present the design, implementation and preliminary tests of a high depth underwater ROV inspection system. The ROV is equipped with a sensor-based system in order to characterize the water quality of marine ecosystems, and a vision-based system to identify the marine species. The vision system includes an adaptive color correction algorithm and a tracking algorithm that improves in real time the tracking of living species during inspection. A prototype was implemented to validate the functionality of the ROV operation and the vision system algorithms.

KW - ROV

KW - Tracking algorithm

KW - underwater inspection

UR - https://www.scopus.com/pages/publications/85131668728

U2 - 10.1109/OCEANSChennai45887.2022.9775317

DO - 10.1109/OCEANSChennai45887.2022.9775317

M3 - Conference article

AN - SCOPUS:85131668728

SN - 0197-7385

JO - Oceans Conference Record (IEEE)

JF - Oceans Conference Record (IEEE)

T2 - OCEANS 2022 - Chennai

Y2 - 21 February 2022 through 24 February 2022

ER -

ROV Inspection System with Vision-based Color Correction and Tracking Algorithm for High Depth and Low Light Ecosystems

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