查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 351844 自動光學檢測 1 3.0 3 ★ 何昭慶製科所 17 0 製科◎

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	351844	自動光學檢測	1	3.0	3	★	何昭慶	製科所	17	0	製科◎

教學大綱與進度：

教師姓名何昭慶　教師諮商時間(Office Hours)

Email hochao@ntut.edu.tw

最後更新時間 2025-05-20 16:58:55

課程大綱本課程主要介紹自動化光學精密檢測相關技術，內容包括如下：前言，精密量測概論，機器視覺原理，二維光學檢測技術及實習，三維光學檢測技術及實習，影像處理與人工智慧技術運用，智慧型量測系統及應用，系統整合之相關技術，產業相關技術應用。 [▲修課學生務必具備C++ and Python程式語言基礎(C++ and Python is required during the hand on class), 需自備筆電 This course aims to introduce the concept, methodology, and algorithms of Automatic Optical Inspection and machine vision as well as the hardware and software used by automatic optical inspection. The object is to provide a fundamental understanding upon automatic optical inspection so that the students can quickly apply what they have learned to solve quality inspection problems. The course is particularly suitable for students who are interested in the subject of automatic optical inspection.

課程進度 1. Machine Vision Overview 2. C Programming 3. Windows Programming 4. Open Source Computer Vision Introduction (GUI) 5. Digital Image Fundamentals 6. Optics (Hand on experiment) 7. lighting (Hand on experiment) 8. Color Space Introduction 9. 期中考試週 10. Binary Image Processing 11. Regions (安排產業導師蒞臨諮詢) 12. Image Filtering I 13. Image Filtering II 14. Edge Detection I 15. Edge Detection II 16. Camera calibration 17. Final Project Presentation 18. Final Project Review

評量方式與標準作業　　　30% 期中考 30% 期末專題 30% 課堂表現 10% This course emphasizes on hands-on approaches with PowerPoint slides.

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
1.Machine Vision Ramesh Jain and R. Kasturi McGraw Hill 1995 2.Visual servoing control based three-dimensional tracking: theory, algorithms, practicalities, ISBN:978383830535 C.-C. Ho Lambert Academic Publishing 2009 3.Depth Map and 3D Imaging Applications: Algorithms and Technologies, ISBN:978161350326 A. S. Malik, T. S. Choi, and H. Nisar, Eds., ed USA: IGI Global 2012

課程諮詢管道 i學園與 Microsoft Team 群組

延伸教學與資源

課程對應SDGs指標 SDG1：消除貧窮（No Poverty）
SDG4：優質教育（Quality Education）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG10：減少不平等（Reduced Inequalities）

課程是否導入AI ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

備註

教師姓名	何昭慶　教師諮商時間(Office Hours)
Email	hochao@ntut.edu.tw
最後更新時間	2025-05-20 16:58:55
課程大綱	本課程主要介紹自動化光學精密檢測相關技術，內容包括如下：前言，精密量測概論，機器視覺原理，二維光學檢測技術及實習，三維光學檢測技術及實習，影像處理與人工智慧技術運用，智慧型量測系統及應用，系統整合之相關技術，產業相關技術應用。 [▲修課學生務必具備C++ and Python程式語言基礎(C++ and Python is required during the hand on class), 需自備筆電 This course aims to introduce the concept, methodology, and algorithms of Automatic Optical Inspection and machine vision as well as the hardware and software used by automatic optical inspection. The object is to provide a fundamental understanding upon automatic optical inspection so that the students can quickly apply what they have learned to solve quality inspection problems. The course is particularly suitable for students who are interested in the subject of automatic optical inspection.
課程進度	1. Machine Vision Overview 2. C Programming 3. Windows Programming 4. Open Source Computer Vision Introduction (GUI) 5. Digital Image Fundamentals 6. Optics (Hand on experiment) 7. lighting (Hand on experiment) 8. Color Space Introduction 9. 期中考試週 10. Binary Image Processing 11. Regions (安排產業導師蒞臨諮詢) 12. Image Filtering I 13. Image Filtering II 14. Edge Detection I 15. Edge Detection II 16. Camera calibration 17. Final Project Presentation 18. Final Project Review
評量方式與標準	作業　　　30% 期中考 30% 期末專題 30% 課堂表現 10% This course emphasizes on hands-on approaches with PowerPoint slides.
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 1.Machine Vision Ramesh Jain and R. Kasturi McGraw Hill 1995 2.Visual servoing control based three-dimensional tracking: theory, algorithms, practicalities, ISBN:978383830535 C.-C. Ho Lambert Academic Publishing 2009 3.Depth Map and 3D Imaging Applications: Algorithms and Technologies, ISBN:978161350326 A. S. Malik, T. S. Choi, and H. Nisar, Eds., ed USA: IGI Global 2012
課程諮詢管道	i學園與 Microsoft Team 群組
延伸教學與資源
課程對應SDGs指標	SDG1：消除貧窮（No Poverty） SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG10：減少不平等（Reduced Inequalities）
課程是否導入AI	● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
備註