A new artificial intelligence system protecting Chinese White Dolphins in China’s Xiamen Bay has identified 13 individual animals and improved conservation response times by 65 percent in just three months by using advanced image recognition to track dolphins based on unique markings on their dorsal fins. The AI platform achieved 90 percent accuracy in identifying individual dolphins and 85 percent success in recognizing complex behaviors after analyzing 2,820 images and videos to create detailed profiles tracking movements, social interactions, breeding patterns, health status, and age for each animal. Chinese White Dolphins are classified as vulnerable, making it a critical habitat where researchers say the next 10 to 15 years will determine whether the species survives. Before this technology, scientists had to manually review countless images and videos in a slow process that failed to provide consistent data needed for effective protection, but the new system improved data labeling efficiency by 400 percent.
Chinese White Dolphins also play an important role fighting climate change because they feed on fish that eat plankton, which absorbs carbon dioxide from the atmosphere through photosynthesis similar to how trees clean the air. The technology demonstrates how AI can support wildlife protection when traditional methods fall short, creating a comprehensive protection system that responds to threats as they happen rather than after damage is done, potentially providing a model for protecting other endangered marine species worldwide.
