New York’s new system uses machine-learning models to scan posts, images, and hashtags, instantly identifying illegal wildlife items hidden online.
These systems analyze texture, shape, and color patterns — detecting illegal wildlife items with accuracy rates reaching up to 90%.
AI models can scan millions of online images, identifying endangered species even when photos are blurred, cropped, or disguised.
Advanced AI tools give investigators a clearer view of hidden wildlife trafficking networks operating across social media and encrypted platforms.
AI tools quietly scan social media, online marketplaces, and hidden groups — detecting illegal wildlife activity without direct human contact.