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AI spots smuggled seahorses, shark fins and sea cucumbers with 92% accuracy

When we think of wildlife trafficking, we might think of rhino horns or baby orangutans sold as petsโ€”but the smuggling of sea creatures, a less well-known crime, is just as damaging to marine ecosystems. Unfortunately, many commonly smuggled marine wildlife items, like shark fins

AI spots smuggled seahorses, shark fins and sea cucumbers with 92% accuracy
Phys.org โ€” 7 June 2026
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When we think of wildlife trafficking, we might think of rhino horns or baby orangutans sold as petsโ€”but the smuggling of sea creatures, a less well-known crime, is just as damaging to marine ecosystems. Unfortunately, many commonly smuggled marine wildlife items, like shark fins, can be hidden in baggage or parcels and carried across borders with relative ease, without being detected. To get around this, scientists used AI to develop an algorithm that can detect samples of commonly trafficked sea creaturesโ€”shark fins, seahorses, and sea cucumberโ€”with 92% accuracy.

This report comes from Phys.org. The story centres on AI spots smuggled seahorses, shark fins and sea cucumbers with 92% accuracy. Full coverage and background context is available at the original source. Readers seeking more detail on this developing topic are encouraged to follow updates from Phys.org and related outlets covering this beat.

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