EQS-News
AI Solution Shows Early Success in Protecting Chinese White Dolphins
- AI solution aids in protecting Chinese white dolphins.
- 90% identification accuracy; 400% data efficiency boost.
- 5G-A network enables real-time vessel tracking alerts.
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EQS-News: Huawei / Key word(s): Product Launch/Miscellaneous XIAMEN, China, Nov. 11, 2025 /PRNewswire/ -- Huawei and partners today announced the preliminary results of a groundbreaking AI-powered solution designed to study and safeguard Chinese white dolphins in China's Xiamen Bay. |
Launched under the Huawei TECH4ALL initiative three months ago, the project has so far:
- Identified 13 individual dolphins based on 2,820 images and videos.
- Achieved an individual identification accuracy rate of more than 90% and a recognition rate for complex behaviors of 85%.
- Improved data labeling efficiency by 400%.
- Increased the response time of law enforcement to ships that speed or trespass into conservation areas by 65%.
"The data-driven insights yielded by AI are helping conservationists formulate targeted protection measures to understand and respond to the threats facing this iconic dolphin species, and ensure that they survive and thrive in the wild," said Cui Yangyang, Director of the TECH4ALL Program Office for Huawei.
Chinese white dolphins are a nationally protected species that are classified as vulnerable on the IUCN Red List. Major threats in Xiamen Bay, which is home to 51% of China's dolphin population, include shipping, fishing, and coastal engineering projects.
Noise pollution, entanglement in fishing gear, and habitat loss are endangering their long-term survival.
In partnership with the Third Institute of Oceanography under China's Ministry of Natural Resources and China Mobile, the project includes a feature recognition system that can identify individual animals based on the unique markings of their dorsal fins.
"With the introduction of AI, surveys are now more efficient and conservation efforts more precise," said Wang Xianyan, Leader of the Marine Endangered Species Research and Conservation Team for the Third Institute of Oceanography under China's Ministry of Natural Resources. "The data on individual survival, reproductive dynamics, and social interactions provided by the AI recognition system form an essential basis for developing conservation measures."
