AI Tech to Detect Smuggled Seahorses in Luggage
Scientists have developed an AI-powered algorithm capable of identifying smuggled marine wildlife, such as shark fins and seahorses, in X-ray CT scans with 92% accuracy. This technology aims to assist airport security in detecting illegal wildlife trafficking, which is a major threat to global marine ecosystems.
Why it matters
Illegal wildlife trade is a multi-billion dollar industry that threatens biodiversity; automated detection tools could significantly improve enforcement and environmental protection efforts.
When we think of wildlife trafficking, we might think of rhino horns or baby orangutans sold as pets - 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 round this, scientists used AI to develop an algorithm which can detect samples of commonly-trafficked sea creatures - shark fins, seahorses, and sea cucumber - with 92% accuracy.
The article focuses on scientific innovation and environmental conservation efforts using neutral, descriptive language.
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