I6150 教學大綱表

教學大綱表 (113學年度第1學期)

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課程名稱 Course Title	(中文) 機器視覺原理與應用 (英文) Machine Vision Theory And Applications			開課單位 Departments	資訊工程研究所
				課程代碼 Course No.	I6150
授課教師 Instructor	謝禎冏
學分數 Credit	2.0	必/選修 core required/optional	選修	開課年級 Level	研究所
先修科目或先備能力(Course Pre-requisites)：Basic programming skill and GEPT Intermediate above.
課程概述與目標(Course Overview and Goals)：Overview: This course is one of the courses taught entirely in English and is conducted in the form of lectures. Lecture: Dr. Ralph Foehr Machine vision technology has a wide range of industrial applications. For example, the manufacturing industry applies it to inspection machines of sensing instruments (such as autofocus cameras or sensors), which can detect product defects, judge and select objects, measure volume and size, etc. Objective: Principles, basic technologies, and applications of machine vision. The goal is to allow students to understand the needs of machine vision technology and its current application in industry. The course content includes hardware components, basic technology, pattern matching, defect detection, optical character recognition, two-dimensional measurement, stereo vision, spatial measurement, and the correlation between technology application and the development of Industry 4.0.
教科書(Textbook)	None
參考教材(Reference)	Lecture self-made material

課程大綱 Syllabus			學生學習目標 Learning Objectives	單元學習活動 Learning Activities	學習成效評量 Evaluation	備註 Notes
序 No.	單元主題 Unit topic	內容綱要 Content summary	學生學習目標 Learning Objectives	單元學習活動 Learning Activities	學習成效評量 Evaluation	備註 Notes
1	Requirements and applications	Inspect, measure, position	Apply machine vision to industrial measurement.	講授	作業
2	Hardware components	camera, optics, lighting, laser, computer	The role of each component in a machine vision system.	討論設計研究講授	作業
3	Basic technology	Spot analysis, edge detection, segmentation	Learn how to do basic image processing.	討論講授	作業
4	Template matching	Relevance, key points, descriptors	Template matching for pattern detection	討論講授	作業
5	Surface defect inspection	feature extraction, classification	Learn how to detect object surface defects by feature classification.	設計研究講授	作業
6	Optical character recognition	Barcodes, QR codes, printed handwritten characters	OCR methods	討論講授	作業
7	Mid-Term Exam	Machine Vision Project	Mid term exam.		期中考
8	2D measurement	Affine and perspective transformations	Object image formation and transformation.	討論講授	作業
9	Stereo vision	Camera calibration, rectification, polar geometry	Camera calibration and stereo image pair for depth measurement.	討論講授	作業
10	3D measurement	3D geometry, stereo matching, parallax	3D object reconstruction by stereo image matching.	討論講授	作業
11	Industrial applications	PCB inspection, self-driving cars, profiler	Applications of machine vision	討論講授	作業
12	Machine vision in Industry 4.0	Industry 4.0, interoperability, decentralization	Industrial revolution 4.0 powered by artificial Intelligence.	討論講授	作業
13	Final exam.	Final exam.	Final exam.		期末考

彈性教學週活動規劃

序 No.	實施期間 Period	實施方式 Content	教學說明 Teaching instructions	彈性教學評量方式 Evaluation	備註 Notes
1	起:2024-01-01 迄:2024-01-12	3.實作 Practical class	習作 Term Project	評分習作 Demo and Report

教學要點概述：
1.自編教材 Handout by Instructor：
■ 1-1.簡報 Slids
□ 1-2.影音教材 Videos
■ 1-3.教具 Teaching Aids
□ 1-4.教科書 Textbook
□ 1-5.其他 Other
□ 2.自編評量工具/量表 Educational Assessment
□ 3.教科書作者提供 Textbook

成績考核 Performance Evaluation：期末考：30% 期中考：30% 彈性教學：10% 作業：30%

教學資源(Teaching Resources)：
□ 教材電子檔(Soft Copy of the Handout or the Textbook)
■ 課程網站(Website)
課程網站(Website)：網路大學
扣考規定：https://curri.ttu.edu.tw/p/412-1033-1254.php