Development and application of marine exploration and ecological survey technologies under climate change
| Summary | The highlights of the current project are as follows: (1) Underwater biological detection and behavior analysis: Automated lobster detection, counting, and tracking This technology combines environmental data with AI underwater detection technology for ecological analysis in the actual field. The technology can already use object detectors to correctly recognize lobsters, then count and track them. The accuracy of the model can reach 99.5%. Movie 1 is the actual field verification result. Location: Kenting South Bay Filming time: 2022.03.25 Program has been uploaded to GitHub (https://github.com/softcomputinglab520/AI-series-on-Aquatic-Creatures-Part1_Counting ) (2)Coral ecosystem analysis: Automated live coral cover analysis Based on YOLACT, a sample segmentation algorithm released in 2019, this technology can automatically classify eight substrates from the internationally recognized Reef Check method. The classification accuracy can reach 93.1%. Movie 2 is the actual field verification result. Location: Kenting South Bay Filming time: 2022.01.26 ～ 2022.01.27 (3)Coral ecosystem analysis: Indicator biological classification This technique assesses the ecological development of a coral area by observing its biological species. The technology can use to classify a variety of indicator fishes and invertebrates. The classification accuracy can reach 90%. Movie 3 is the actual field verification result. Location: Keelung Chaojing Park Filming time: 2022.05 |
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| Keyword | Artificial Intelligence Underwater Creatures Coral Underwater Ecological Survey Marine Conservation | ||
| Research Project | DevelopmentApplication of Marine ExplorationEcological Survey Technologies under Climate Change | ||
| Research Team | Led by PI：Prof. Kuo-Ping Chiang, National Taiwan Ocean University, Co-PI: Prof. Kuo-Ping Chiang, National Taiwan Ocean University | ||
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