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Marine

In fisheries and marine applications, robotic systems with underwater cameras and sensors, automate tasks such as fish detection, net monitoring, and ocean exploration, increasing productivity and reducing environmental impact. Computer vision technology is vital for species identification and tracking to ensure sustainable fishing practices and marine conservation. Machine learning plays a role in data analysis, aiding in fisheries management, predicting fish stocks, and preserving the delicate balance of marine ecosystems.

  • Simulation with 3D fish: a building block for fishing industry automation

    In a few years, fishing vessels will be equipped with cameras and robots that were developed using synthetic data and machine learning. Researcher Arjan Vroegop talks about game engines, Masenro 3, and how to count fish even if you can't see them all.

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  • Using AI to monitor and measure biodiversity and wildlife

    Artificial Intelligence (AI) is emerging as a powerful ally for researchers and professionals tasked with monitoring and measuring biodiversity and wildlife.

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