整合雲端辨識引擎的行魚類辨識系統開發;Integrated Fish Recognition Engine for Action Cloud Recognition System Development

NCUIR > College of Electrical Engineering & Computer Science > Executive Master of Computer Science and Information Engineering > Electronic Thesis & Dissertation > Item 987654321/79590

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/79590

Title:	整合雲端辨識引擎的行魚類辨識系統開發;Integrated Fish Recognition Engine for Action Cloud Recognition System Development
Authors:	陳煜珊;Yu-shan, Chen
Contributors:	資訊工程學系在職專班
Keywords:	魚類辨識;雲端平台;系統整合
Date:	2019-01-30
Issue Date:	2019-04-02 15:04:18 (UTC+8)
Publisher:	國立中央大學
Abstract:	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.
Appears in Collections:	[Executive Master of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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