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

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

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 languageEnglish
JournalOceans Conference Record (IEEE)
DOIs
StatePublished - 2022
EventOCEANS 2022 - Chennai - Chennai, India
Duration: 21 Feb 202224 Feb 2022

Keywords

  • ROV
  • Tracking algorithm
  • underwater inspection

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