AI spots smuggled seahorses, shark fins and sea cucumbers with 92% accuracy
Scientists have developed an AI algorithm that uses X-ray CT scanners to detect smuggled marine wildlife, such as shark fins and seahorses, with 92% accuracy. This technology aims to combat the illegal wildlife trade, which threatens marine biodiversity and ecosystems.
Why it matters
Illegal wildlife trafficking is a multi-billion dollar industry; automated detection tools provide a scalable solution to protect endangered species at border crossings.
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