Researchers have developed an artificial intelligence tool capable of identifying illegally trafficked marine wildlife, such as shark fins and seahorses, within airport luggage using standard 3D X-ray imaging technology.

Key Points

• The AI algorithm achieved a 92 percent accuracy rate in identifying dried shark fins, seahorses, and sea cucumbers during testing.
• Researchers published the study in the journal Frontiers in Ocean Sustainability, noting a 13 percent false positive rate for the technology.
• INTERPOL estimates the global illegal trade of plant and animal products is worth approximately $20 billion annually.
• Lead author Vanessa Pirotta of Macquarie University intends for the tool to supplement, rather than replace, human inspectors and biosecurity dogs.
• Future efforts will focus on deploying the software at international airports to strengthen wildlife enforcement and detection capabilities.

Why it Matters

This technology provides a scalable solution to combat the multi-billion dollar illegal wildlife trade by automating the detection of contraband in high-traffic transit hubs. By integrating AI into existing security infrastructure, authorities can more effectively intercept protected marine species and disrupt global trafficking networks.