Course Catalog 2011-2012
International

Basic Pori International Postgraduate Open University

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Course Catalog 2011-2012

TTE-5516 Machine Vision and Optical Measurements, 6 cr

Additional information

Course uses Moodle page (https://moodle.tut.fi/course/view.php?id=3166) for all communications, distributing materials, etc. Moodle page requires an enrollment key, which will be sent to enrolled students before course starts.

Person responsible

Heikki Tikka, Timo Prusi

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Excercises
Assignment
Online work
 4 h/week
 2 h/per
 20 h/per
 5 h/per

+4 h/per
+40 h/per
+5 h/per




 




 




 
TTE-5516 2011-01 Tuesday 14 - 16, K3114
Thursday 14 - 16, K3114

Requirements

Completed and accepted assignments (3 assignments) and 5 essays about topics discussed during the lectures.
Completion parts must belong to the same implementation

Learning outcomes

After completing the course student knows machine vision system types, their components, and their basic operating principles. Student can apply this knowledge and specify and select components for simple applications. Student knows the basic terms, concepts, and methods of programming machine vision systems and is able to program simple machine vision applications. Student knows the most common optical measuring methods suitable for small- and middle size workpieces. According to this knowledge he/she can choose the best suitable co-ordinate measuring method. He/She understands different measuring strategies, filtering of measured points, the terms of measuring uncertainty and how to determine measuring uncertainty by international harmonized methods.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Machine vision systems and their components: applications, basic properties, operating principles, specifying components   More detailed knowledge about camera and camera interface properties, more rare optical and illumination systems   3D machine vision 
2. Basic concepts and methods of programming machine vision systems  Operating principles of most common image processing and analysis methods used in machine vision, suitability of methods for different tasks   
3. Calibration of machine vision system: unit conversion, compensation for image deformations, combining coordinate systems     
4. The principles, and possibilities of most important optical co-ordinate measuring systems (dimesional metrology).   Knowing the principles, features as well problems helps to find the best solutions.   Modern optical measurement and digital operations of picture 
5. Measuring strategies and filtering of points. Different methods to analyse the measured points (Least Squares, Minimum Zone, Chebysev).     
6. Terms of measuring uncertainty. Using harmonized principles how to determine measuring uncertainty. (EA-4/02 and Substitution Method - ISO 15530)  These methods are suitable to any other quantities   

Evaluation criteria for the course

Course grade is determined by successfully completed essays from topics discussed during the lectures and assignments. There will be 5 essays which give altogether 25% of course grade. Each of the three assignments give 25% of course grade. Grade 3 is possible once the student masters the course Core content well. To get grade 4, the student needs to know and understand matters from Complementary knowledge column. Grade 5 is possible if student knows Complementary knowledge topics well. If student has minor deficiencies in mastering Core content topics, grades 1 and 2 are possible. If student has major deficiencies in mastering Core content topics, he or she will not pass the course.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Lecture slides     Lecturers            English  

Additional information about prerequisites
This is a Masters level course mainly aimed for students who study Production Engineering. Therefore basic knowledge about production engineering and/or production automation helps in understanding the topics discussed on the course. In addition, some basic knowledge about the basics of programming makes completing course assignments easier.

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
TTE-5516 Machine Vision and Optical Measurements, 6 cr TTE-5210 Machine Vision in Production Automation, 5 cr +
TTE-5216 Machine Vision in Production Automation, 5 cr
 

More precise information per implementation

Implementation Description Methods of instruction Implementation
TTE-5516 2011-01 All communications related to this course will be done on course Moodle page (https://moodle.tut.fi/course/view.php?id=3166). It requires a registration key which was sent to enrolled students on 24.8.2011.   Lectures
Practical works
   
Contact teaching: 30 %
Distance learning: 20 %
Self-directed learning: 50 %  

Last modified17.08.2011