博碩士論文 105552033 詳細資訊




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姓名 陳煜珊(Yu-shan,Chen)  查詢紙本館藏   畢業系所 資訊工程學系在職專班
論文名稱 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)
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檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2024-1-30以後開放)
摘要(中) 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。
摘要(英) 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.
關鍵字(中) ★ 魚類辨識
★ 雲端平台
★ 系統整合
關鍵字(英)
論文目次 摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章、 緒論 1
1.1 研究背景 1
1.2 研究目標 3
1.3 論文架構 5
第二章、 魚類辨識 6
2.1 魚類識別相關技術 6
2.2 紋理特徵擷取 7
2.3 形狀特徵擷取 10
2.4 顏色特徵擷取 11
2.5 深度神經網路分類器設計 13
第三章、 雲端平台建構概念 19
3.1 前端介紹 21
3.2 後端介紹 23
3.3 通訊架構 24
3.4 系統整合 25
3.5 科技接受模型 27
第四章、 系統設計與驗證 28
4.1 實驗與雲端環境建置 28
4.2 系統實作 31
4.3 魚類辨識實驗 39
4.4 以科技接受模型測試雲端魚類辨識系統 47
第五章、 結論與未來展望 52
5.1 結論 52
5.2 未來展望 53
參考文獻 54
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指導教授 陳慶瀚 審核日期 2019-1-30
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