Aquatic Conservation Technology
Current Sight develops practical computer vision technology to help conservation professionals better understand and protect wild fisheries.
Technology isn't the mission. Conservation is.
Every project begins with a simple question:
How can we leave our rivers healthier
than we found them?
Computer vision in action
Built on curiosity, collaboration, and continuous learning, Current Sight is exploring how artificial intelligence can make fish monitoring more efficient, scalable, and actionable.
In this clip, the model identifies a Sacramento Pike Minnow from underwater video — the kind of analysis that would otherwise require hours of manual review.
See all solutions →Current Focus
01
Developing and refining an underwater computer vision model for reliable species identification in real-world conditions.
02
Our training library now exceeds 7,500 annotated underwater images and grows with every field day.
03
Improving species recognition across multiple fish classes and preparing for edge deployment and real-world field testing.
California watershed · Current Sight field work
Who we work with
Current Sight exists to build practical tools that support the scientists, biologists, tribes, and conservation organizations working toward healthier rivers.
Every new dataset, field day, collaboration, and lesson learned helps shape better technology — and, hopefully, better outcomes for our rivers.
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