ME5245

自動化光學檢測原理與應用

Department
Mechanical Engineering
Instructor
陳亮嘉/ CHEN,LIANG-CHIA
分類
2026年春季學期研究生課程

課程介紹

ME5245 · 機械工程學系

自動化光學檢測原理與應用

Principles and Applications of Automatic Optical Inspection — 114-2 Elective course (3.0 credits). English-taught. AOI theory, machine vision, and industrial applications.

ME5245 Curriculum Number 114-2 Semester 3.0 Credits 30 Seat Limit
View Course Information ↓

✦ Course Information

Course title 自動化光學檢測原理與應用 / Principles and Applications of Automatic Optical Inspection
Semester 114-2
Designated for College of Engineering · Department of Mechanical Engineering / College Bachelor Program / Nano Engineering and Science Master's Program / Nano Engineering and Science Doctoral Program / Graduate Institute of Mechanical Engineering
Curriculum Number ME5245
Curriculum Identity Number 522U5320
Class —
Credits 3.0
Full / Half Yr. Half
Required / Elective 選修 (Elective)
Remarks 修課總人數 30 人（本校 30 人）。機械系、奈米工科碩士、奈米工科博士：本課程以英語授課，系定選修，領域專長-先進製造模組、領域專長-機械與機電量測實務模組。工學院院學士、機械所：本課程以英語授課。

為確保您我的權利，請尊重智慧財產權及不得非法影印。

Class Section

Class Instructor Time Location
— 陳亮嘉 Tuesday 7, 8, 9 綜402

Course Description

This subject is arranged to introduce the theory and techniques required in Automatic Optical Inspection (AOI) as well as its applications in various industries. The subject mainly includes the following subtopics: introduction to precision metrology and machine vision, the measurement & detection principles and methods used in the 2D AOI, the detection & measurement principles and techniques used in the 3D AOI, image processing and algorithm methods used in automatic inspection, special topic from experts from industries, system instrumentation, factory visit, and lab practice work.

Important notes for the perspective students:

1

The class will be mainly conducted in English.

2

Extra lecturing videos in Chinese will be provided in NTU Cool a week before every section is delivered, so the students with Chinese background can pre-study the topics.

3

The students can use Chinese or English for their exams, tests, and homework.

4

If requested, some extra time of lecturing can be arranged for the students with Chinese background for their best learning.

Course Objective

1

To familiarize with fundamentals, theories and techniques required in AOI technology.

2

To understand key issues in system design and operations in AOI.

3

To establish the fundamentals of instrumentation needed in AOI.

4

To establish basic hands-on skills of AOI, such as programming in digital imaging processing.

5

To understand the developing trend of AOI industries and its applications.

Course Requirement

  • Science or Engineering background is desirable.
  • Student Workload (Expected weekly study hours before and/or after class): —
  • Office Hours: —
  • Designated reading: —
  • 針對學生困難提供學生調整方式：
    • A2 以錄影輔助 (Assisted by video)
    • D1 由師生雙方議定 (Negotiated by both teachers and students)

References

AOI References for reading and study:

—

Definition of Machine vision: [1, 2]; Image formation and sensing: [3, 4]; Sensors: [5, 6]; Types of lenses and geometrical optics: [4]; Optical Resolution: [7, 8]; CCD Size specification: [9]; Important parameters of CCD and Imaging: [10]; Image format and transform: [11]; Fundamental's parameters of an Imaging system: [10, 12, 13]; MTF: [10]; Telecentric lenses: [14, 15]; Light source and characteristics: [16, 17]; Color Rendering Index: [18]; Light projection method: [19, 20]; LED light source: [21]; Basics of Image Segmentation: [22-24]; Camera calibration: [25-27]; Autofocusing algorithms: [28-30]; Fourier transform: [31-33]

Note: These topics have been taken from Prop. Chen's sir AOI classroom. The primary sources of these topics are from AOI class presentation taught by Prop. Liang-Chia Chen's sir.

1

M. vision. [Online]. Available: https://cortexrobotics.my/machine-vision/.

2

Microscan. [Online]. Available: https://www.microscan.com/en-us/resources.

3

I. f. a. sensing. [Online]. Available: https://www.cse.unr.edu/~bebis/CS791E/Notes/ImageFormation.pdf.

4

D. B.Murphy, "Fundamentals of Light Microscopy and Electronic Imaging, 2nd Edition" Vol. Image formation, pp. Chapter-4-5.

5

R. W. Rafeel Gonzalez, "Digital Image Processing," pp. Chapter1-2.

6

S. E. umbaugh, "Digital Image processing," pp. chapter-1.

7

r. criterion. [Online]. Available: http://hyperphysics.phyastr.gsu.edu/hbase/phyopt/Raylei.html.

8

Edumund, "Optical resolution." [Online]. Available: https://www.edmundoptics.com.tw/knowledge-center/applicationnotes/imaging/resolution/.

9

Edumund, "CCD camera specification." [Online]. Available: https://www.edmundoptics.com.tw/knowledge-center/applicationnotes/imaging/understanding-camera-sensors-for-machine-vision-applications/.

10

Edumund, "Important parameters of CCD and Imaging". [Online]. Available: Important parameters of CCD and Imaging

11

D. B. Murphy, "Fundamentals of light Microscopy and electronic imaging."

12

E. Hecht, "Optics," pp. Chapter-5(Geomtrical optics).

13

edumund, "depth of field." [Online]. Available: https://www.edmundoptics.com/resource-page/application-notes/imaging/depth-of-fieldand-depth-offocus/#:~:text=The%20DOF%20of%20a%20lens,the%20plane%20of%20best%20focus.

14

Edumund, "Telecentric lens video." [Online]. Available: https://www.youtube.com/watch?v=O-NeZcmYyJ4.

15

v. system, "Telecentric lenses." [Online]. Available: https://www.visionsystems.com/factory/manufacturing/article/16737545/telecentric-lenses-focus-onmachine-vision.

16

D. B.MURPHY, "Fundamentals of light microscopy and electronic imaging."

17

R. E. F. B. T.-G. P. R. Yoder, "Optical System Design," pp. Chapter-14.

18

Wikki, "Color rendering index." [Online]. Available: https://en.wikipedia.org/wiki/Color_rendering_index.

19

S. robotics, "light projection method." [Online]. Available: https://www.robotics.hiroshima-u.ac.jp/researches/researches_single/851/.

20

it, "light projection method." [Online]. Available: http://www.it.hiof.no/~borres/j3d/explain/shadow/p-shadow.html.

21

T. lab, "LED light." [Online]. Available: https://www.thorlabs.com/newgrouppage9.cfm?objectgroup_id=2615.

22

D. B.MURPHY, "Fundamentals of light microsocpy " pp. Chapter15-16.

23

A. labs, "Image segmentation." [Online]. Available: https://www.analytixlabs.co.in/blog/what-is-image-segmentation/.

24

cse, "Image filter." [Online]. Available: https://www.cse.usf.edu/~r1k/MachineVisionBook/MachineVision.files/MachineVision_Chapter4.pdf.

25

prateekjoshi, "Cmaera callibration." [Online]. Available: https://prateekvjoshi.com/2014/05/31/understanding-camera-calibration/.

26

sites, "camera callibration." [Online]. Available: https://sites.google.com/site/hyowoncv/ha_iccv15.

27

Matlab, "Camera callibration." [Online]. Available: https://www.mathworks.com/help/vision/ug/camera-calibration.html.

28

stvision, "Autofocussing algorithm." [Online]. Available: https://www.1stvision.com/machine-vision-solutions/tag/autofocus.

29

G. Fu, "A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm." [Online]. Available: https://www.researchgate.net/publication/280172987_A_fast_autofocusing_method_of_microscopic_imaging_based_on_an_improved_MCS_algorithm.

30

J. m. mateos-perez, "Comparative evaluation of autofocus algorithms for a real-time system for automatic detection of Mycobacterium tuberculosis." [Online]. Available: https://onlinelibrary.wiley.com/doi/full/10.1002/cyto.a.22020.

31

E. Hect, "OPTICS 5e."

32

t. fourier, "fourier transform." [Online]. Available: https://www.thefouriertransform.com/.

33

Matlab, "fourier transform." [Online]. Available: https://www.mathworks.com/help/matlab/math/fouriertransforms.html#:~:text=The%20fft%20function%20in%20MATLAB,a%20period%20of%2010%20seconds.

Grading

No. Item % Explanations for the conditions
1.Middle examination30%—
2.Homework & labwork report & Tour report20%—
3.Final student presentation and report50%—
4.Class participation+-0~10%—

評量方式

本校尚無訂定 A+ 比例上限。

等第制

本校採用等第制評定成績，學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考，授課教師可依等第定義調整分數區間。詳見學習評量專區。

Progress

Week Date Topic
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