Page 354 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



                      Therefore, in such scenarios, it is essential to monitor not only wildlife but also human activities
                      to minimize the impact of human activities on wildlife habitats.

                      Traditional monitoring of coastal protected areas primarily relies on manual patrols, which
                      are inefficient, limited in scope, and prone to blind spots. Additionally, marine conservation
                      data are diverse and complex, and the current level of data analysis is insufficient to provide
                      accurate information on species distribution, population, and behavior, hindering scientific
                      decision-making for protected area management.

                      Supported by the UNDP Global Environment Facility, China Mobile developed an "AI +
                      5G-A  Enabled Marine Animal Conservation"  solution  for  Xiamen's  wildlife  reserve. This
                      solution addresses three key aspects: enhanced vessel monitoring, wildlife data analysis, and
                      conservation strategy generation. Leveraging AI, autonomous networks, and 5G-A Integrated
                      Sensing and Communication (ISAC), it overcomes maritime network challenges while ensuring
                      seamless communication across air, land, and sea. The system provides 24/7 monitoring of
                      vessel trajectories, significantly improving conservation efficiency.

                      Since its commercial deployment in 2024, the solution has effectively enhanced the habitat of
                      endangered marine species. Compared to traditional methods, the monitored area expanded
                      from 120 km² to 330 km², with wildlife distribution increasing by 60%. Rare species sightings
                      and populations have risen significantly. Over 1 million vessel movements are tracked annually,
                      reducing collision-related animal deaths by 97%. Illegal activity detection and enforcement
                      efficiency improved by 45%. Public engagement in wildlife conservation also increased, with
                      discussions on wildlife topics rising by 69%. The solution was awarded the "Outstanding
                      Catalyst - Tech for Good" at the DTW24 Summit in Copenhagen, gaining global recognition.

                      The solution is highly scalable. As AI and 5G-A ISAC mature, it can be applied beyond coastal
                      areas to rural and forest regions where human-wildlife interactions occur, providing robust
                      support for global conservation efforts. 

                      Use Case Status:  The use case is part of a larger product development

                      Partners : China Academy of Information and Communications Technology (CAICT), 

                      Xiamen Chinese White Dolphin Amphioxus Nature Reserve Affairs Center, Huawei, ZTE, Inspur,
                      China Unitechs, ZZNode,  Xiamen University of Technology


                      2�2     Benefits of the use case

                      This project significantly improves the working environment and safety conditions for marine
                      wildlife protectors. By enabling remote monitoring from shore-based systems, it eliminates
                      the need for frequent offshore enforcement trips. Over a million vessels can be supervised
                      annually, reducing coastal law enforcement deployments by 50%. This shift allows protectors
                      to operate in a safer and more efficient environment while supporting decent and dignified
                      working conditions.

                      The project also showcases an innovative application of advanced technologies such as
                      5G-Advanced and artificial intelligence (AI) in the domain of coastal marine wildlife protection.
                      This not only enhances supervisory capacity within protected areas but also introduces scalable
                      models and new approaches for intelligent infrastructure development across related sectors.






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