基於影像辨識的嵌入式虛擬儀表系統設計

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姓名

何仁揚(Jen-Yang Ho) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

基於影像辨識的嵌入式虛擬儀表系統設計
(Design of an Embedded Virtual Instrument System based on Image Recognition)

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摘要(中)

智慧製造環境需要擷取大量的現場生產資訊，然而在真實的工廠中，仍有許多舊設備沒有具備數位化資料擷取和傳輸的介面，或是無法相容於標準化資料擷取和交換等問題，本研究因而設計一個嵌入式儀表辨識系統，用以自動擷取傳統儀表上的數字、指針與波形，將其轉換為數位資訊，從而解決設備資訊整合的問題。虛擬儀表系統分別對數字、指針和波形從事對應的影像處理和資訊擷取，同時以神經網路辨識數字資訊。我們使用一個基於ARM Cortex-M7核心的極小化硬體資源的嵌入式平台來進行實驗，其中數字、指針、波形辨識的正確性分別達到76.4%、73.68%和64.7%。驗證了此一嵌入式虛擬儀表系統的可用性。

摘要(英)

To facilitate a smart manufacturing environment, considerable on-site production information must be extracted. However, in real factories, many old equipment and devices are not equipped with interfaces to extract and transmit digital data, or have compatibility problems against standardized data extraction and exchange. Therefore, this study designed an embedded instrument identification system to automatically extract digits, pointers, and waveforms on a conventional instrument and digitalize these data to solve the problem of equipment information integration. The virtual instrument system performs corresponding image processing and extracts data on digits, points and waveforms, and recognizes digits by neural network. We used an embedded platform based on ARM Cortex-M7 core with minimized hardware resources. The accuracy rates of the system in identifying digits, pointers, and waveforms reached 76.4%, 73.68%, and 64.7%, respectively. The results verified the feasibility of the proposed embedded virtual instrument system.

關鍵字(中)

★ 影像辨識

關鍵字(英)

★ image recognition

論文目次

摘要................................................... i

Abstract.............................................. ii

誌謝 ................................................ iii

目錄 ................................................. iv

圖目錄 ............................................... vi

表目錄 ............................................. viii

第1章緒論 ............................................. 1

1.1 研究背景與動機 .................................... 1
1.2 研究目的與論文架構 ................................. 2
第２章方法回顧 ....................................... 4
2.1 基於機器視覺的低成本瓦斯讀表器 ...................... 4
2.2 基於影像處理的電表自動讀取系統 ...................... 6
2.3 基於水平與垂直二元形態方法的數位電表辨識 ............. 8
2.4 採用數位訊號處理器遠端獲取水表數據 .................. 9
第３章虛擬儀表系統設計 ................................ 11

3.1 虛擬儀表系統架構 .................................. 11
3.2 影像前處理 ........................................ 12
3.2.1 二值化 ......................................... 12
3.2.2 侵蝕與膨脹 ...................................... 14
3.2.3 數字字元切割 .................................... 15
3.2.4 指針與波形影像切割 .............................. 16
3.3 PNN 數字辨識、指針辨識與波形辨識 ................... 18
第４章系統整合驗證 ................................... 23
4.1 軟硬體實驗平台 .................................... 23
4.2 虛擬儀表系統 ...................................... 26
4.3 實驗 ............................................. 30
4.4 討論 ............................................. 33
第 5 章結論與未來工作 ................................ 37
5.1 結論 ............................................. 37
5.2 未來工作 .......................................... 38
參考文獻 .............................................. 39

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指導教授

陳慶瀚(Ching-Han Chen)

審核日期

2019-1-28

推文