ROV Inspection System with Vision-based Color Correction and Tracking Algorithm

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

ROV Inspection System with Vision-based Color Correction and Tracking Algorithm

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	Spanish
Pages (from-to)	1-6
Number of pages	6
Journal	IEEE Xplore
State	Published - 1 Jan 2022

Cite this

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title = "ROV Inspection System with Vision-based Color Correction and Tracking Algorithm",

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.",

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T1 - ROV Inspection System with Vision-based Color Correction and Tracking Algorithm

AU - Arce, Diego

AU - Rodriguez, Laureano

AU - Segovia, Alexander

AU - Vargas, Miguel

AU - Carranza, Cesar

AU - Cuellar, Francisco

PY - 2022/1/1

Y1 - 2022/1/1

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.

UR - https://ieeexplore.ieee.org/document/9775317

M3 - Artículo

SP - 1

EP - 6

JO - IEEE Xplore

JF - IEEE Xplore

ER -

ROV Inspection System with Vision-based Color Correction and Tracking Algorithm

Abstract

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