Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 351844 Automatic Optical Inspection 1 3.0 3 ★ Chao-Ching,Ho GMT 17 0 製科◎

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	351844	Automatic Optical Inspection	1	3.0	3	★	Chao-Ching,Ho	GMT	17	0	製科◎

Course Plan：

Instructor Chao-Ching,Ho　Office Hours

Email hochao@ntut.edu.tw

Last Updated 2025-05-20 16:58:55

Course Objective 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.

Course Schedule 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

Evaluation and grading policy 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.

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
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

The access to curricular consultation i學園與 Microsoft Team 群組

Expanding teaching and resources

The course corresponds to the SDGs 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）

Does the course incorporate 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）

Note
　

Instructor	Chao-Ching,Ho　Office Hours
Email	hochao@ntut.edu.tw
Last Updated	2025-05-20 16:58:55
Course Objective	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.
Course Schedule	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
Evaluation and grading policy	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.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 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
The access to curricular consultation	i學園與 Microsoft Team 群組
Expanding teaching and resources
The course corresponds to the SDGs	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）
Does the course incorporate 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）
Note