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Design and Initial Validation of an Infrared Beam-Break Fish Counter ('Fish Tracker') for Fish Passage Monitoring.

Juan Francisco Fuentes-Pérez1, Marina Martínez-Miguel1, Ana García-Vega1

  • 1Group of Applied Ecohydraulics, Department of Agricultural and Forest Engineering, Sustainable Forest Management Research Institute, University of Valladolid, ETSIIAA, Avenida de Madrid 44, Campus La Yutera, 34004 Palencia, Spain.

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A new low-cost FishTracker system using infrared (IR) beam-break technology effectively monitors fish passage through river barriers. This affordable, open-source solution offers flexible, non-invasive fish monitoring for adaptive river management.

Keywords:
adaptive river managementaquatic sensor systemsfish morphometricsfish passage monitoringinfrared beam-break sensorlow-cost fish counternon-invasive sensingopen-source hardware

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Area of Science:

  • Aquatic ecology
  • Riverine ecosystem management
  • Bioengineering

Background:

  • Effective fish passage monitoring is crucial for river management and fishway performance evaluation.
  • Traditional monitoring methods are often costly, invasive, or labor-intensive, limiting widespread use.
  • Existing infrared (IR) beam-break counters face challenges with cost and flexibility.

Purpose of the Study:

  • To develop and test a novel, low-cost IR beam-break fish passage counter, named FishTracker.
  • To assess the system's ability to monitor fish passage, estimate movement, direction, speed, and morphometrics.
  • To provide an affordable and flexible alternative to commercial fish monitoring technologies.

Main Methods:

  • Developed FishTracker using open-source Raspberry Pi and Arduino platforms.
  • Utilized an IR curtain to detect fish passage by analyzing beam interruptions.
  • Reconstructed fish silhouettes to estimate movement parameters and morphometrics.
  • Conducted field validation with dummy fish, live bleak, and synchronized video of koi carp under varying turbidity.

Main Results:

  • Achieved 95-100% detection rates in controlled conditions and approximately 70% in semi-natural conditions.
  • Demonstrated consistent body length estimation aligned with established allometric models.
  • Identified surface distortion as a primary source of error, preventable by full submersion.
  • Showcased remote access capabilities for efficient system management.

Conclusions:

  • FishTracker presents a promising, affordable solution for non-invasive, multispecies fish monitoring.
  • The open-source design facilitates flexible adaptation and broad deployment, especially in cost-restricted environments.
  • This technology supports adaptive river management by enabling effective fish passage evaluation.