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Related Experiment Video

Updated: Dec 8, 2025

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

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Automatic Bluefin Tuna Sizing with a Combined Acoustic and Optical Sensor.

Pau Muñoz-Benavent1, Vicente Puig-Pons2, Gabriela Andreu-García1

  • 1Institute of Control Systems and Industrial Computing (AI2), Universitat Politècnica de València (UPV), 46022 València, Spain.

Sensors (Basel, Switzerland)
|September 19, 2020
PubMed
Summary
This summary is machine-generated.

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This study introduces a novel underwater sensor that combines acoustic and optical data to automatically measure juvenile bluefin tuna (Thunnus thynnus). The system accurately sizes fish, improving efficiency by 7.2 times over previous methods.

Area of Science:

  • Marine Biology
  • Acoustic and Optical Sensing Technology
  • Fisheries Science

Background:

  • Accurate fish sizing is crucial for fisheries management and stock assessment.
  • Traditional methods for measuring fish size can be labor-intensive and may stress the fish.
  • Developing non-invasive, automated systems for fish measurement is a key research area.

Purpose of the Study:

  • To propose and validate a novel underwater sensor system for automatic sizing of juvenile bluefin tuna.
  • To combine acoustic and optical data for accurate Snout-Fork Length (SFL) and width measurements.
  • To improve the efficiency of automated fish sizing compared to existing methods.

Main Methods:

  • Development of an underwater sensor integrating acoustic (echogram) and optical (video) devices.
Keywords:
automatic 3D measurementsbiomass estimationfish sizingfishery managementunderwater acousticsunderwater computer vision

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  • Application of image processing for identifying fish traces in acoustic data and fitting ventral silhouettes in video frames.
  • Verification of correspondence between acoustic and optical data for accurate fish sizing.

    • Main Results:

    • The combined acoustic-optical sensor successfully provided automatic and accurate measurements of juvenile bluefin tuna SFL and width.
    • The proposed system demonstrated a 7.2-fold increase in samples per hour compared to stereoscopic vision methods.
    • Measurement accuracy was maintained without compromise, even with a high density of fish (77 juveniles).

    Conclusions:

    • The study validates the efficacy of combining acoustic and optical data for automated fish sizing.
    • This integrated sensor represents a significant advancement towards autonomous, real-time fish measurement systems.
    • Future work will focus on optimizing electronics and processing for a fully autonomous embedded sensor.