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TTE-5216 Machine Vision in Production Automation, 5 cr
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Per 4 :
Tuesday 16 - 18, K3114
Wednesday 14 - 16, K3114
Thursday 8 - 10, K3114
Monday 8 - 16, Department's computer class
This course aims to give the students basic knowledge and readiness to use and apply machine vision in different applications in the field discrete product automation. During this course we will, among other things, have a look at different camera types, illumination methods and light sources, factors affecting the measurement resolution and accuracy, programming of vision systems, and also basics of image analysis from machine vision point-of-view. This course is parallel to course TTE-5210 Konenäkö tuotantotekniikassa. The only differences between these two courses are the language and the implementation of the lectures: the content of the lectures, the exercises, and the assignments are the same on both courses. I hope that those of you who understand Finnish would participate the lectures of the Finnish course (TTE-5210) instead of lectures of this course. If you want, you can make the assignments (and the exam) in English if you want to have the credit points from this English course.
Timo Prusi
Automaatio-, kone- ja materiaalitekniikan tiedekunta
Automaatiotekniikan koulutusohjelma
DI-Opiskelijat
International Students
Konetekniikan koulutusohjelma
Numerical evaluation scale (1-5) will be used on the course
Methods of instruction | Hours |
Lectures | 72.0 |
Excercises | 12.0 |
Laboratory assignments | 34.0 |
Other contact teaching | 1.0 |
Study journal, portfolio and other literary work | 4.0 |
Other measurings | Hours |
Preparation for examination | 8.0 |
Examination/partial examinatinss | 3.0 | 134.0 |
Contact teaching: 0 %
Distance learning: 2 %
Proportion of a student´s independent study: 0 %
This course consists of lectures, classroom exercises and laboratory assignments. The assignments are a mandatory part of the course. This means that you have to complete and pass all (likely four) assignments to pass the course. The assignments give a total of 1/3 of the course grade while the exam gives the rest. The assignments are done in groups of two. At least some knowledge about programming is recommended for completing the assignment projects. The times and dates of classroom exercises and the meetings related to laboratory assignments will be announced later in Moodle (link will be added later on). All communication, distribution of course materials, etc. will be done using course Moodle page (link above). So please use course Moodle page as your primary source for information after registering to course. Course Moodle page will open at the end of period 3 and it requires a registration key which will be sent to you after you enroll to the course from POP.