本研究係建立於MIAT魚類辨識系統的架構上，整合設計一個網頁雲端架構系統、Socket通訊介面與MIAT魚類辨識系統，讓雲端魚類辨識系統的辨識速度可以在使用者感受度較好的情況下完成辨識，藉由這個系統希望可以讓使用者可以快速且簡易的識別魚的種類，並且可以透過使用者收集更多魚類相關照片，未來可以再增加訓練資料庫的模型以提高辨識率，最後以科技接受模型設計體驗問卷，實際讓使用者體驗雲端魚類辨識平台，調查此系統是個能夠吸引其他民眾可以被大量使用的前哨站。

This research is based on the architecture of the MIAT fish recognition system. It integrates a web cloud architecture system, Socket communication interface and MIAT fish recognition system, so that the recognition speed of the cloud fish recognition system can be completed with better user experience. The Fish Recognition system hopes to allow users to quickly and easily recognize the type of fish, and collect more fish-related photos through the user. In the future, the model recognition rate of the training database can be increased, and finally the model can be accepted by technology. The design experience questionnaire actually allows users to experience the cloud fish recognition platform. The system is an outpost that can attract other people to be used in large numbers.

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