Artificial Intelligence and the Environment
December 18, 2024
Our Verdantas Flow Labs team recently partnered with Dominion Energy and the Electric Power Research Institute (EPRI) to support research on non-lethal methods for observing, accurately identifying, and quantifying fish eggs and larvae susceptible to entrainment at cooling water intake structures. As part of this effort, the AUTOHOLO, a compact submersible holographic imaging system designed to study marine particles and plankton in their natural environment, was tested. This advanced system can be deployed for extended periods, capturing images using a camera and laser optics.
The study, conducted at the Alden Campus, Taft Fisheries Research and Test Facility, specifically focused on evaluating the AUTOHOLO’s ability to distinguish between two species of fish larvae: Atlantic Sturgeon and Fathead Minnow (Pimephales promelas). It also aimed to build a comprehensive database of fish larvae holograms, which would be used to train and validate the system’s classification algorithms. Additionally, the evaluation also compared the effectiveness and reliability of the AUTOHOLO against traditional ichthyoplankton sampling methods.
Initial results suggest that AUTOHOLO shows strong potential in distinguishing Atlantic Sturgeon from other species, though further data analysis is still needed. As field tests continue, the technology’s full capabilities will be further assessed. By enhancing species identification and imaging techniques, AUTOHOLO holds significant potential for advancing marine conservation. Its application could play a critical role in protecting sensitive species like the Atlantic Sturgeon, while also improving the accuracy and sustainability of environmental monitoring efforts.
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