Course detail
Optical Measurement Systems for Industrial Inspection
FSI-GOIAcad. year: 2019/2020
The main content of the course is a review of optical systems of industrial inspection with emphasis on the high-speed measurement systems and industrial microscopy.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
ČERNECKÝ, J., PIVARČIOVÁ, E. Possibilities and prospects of holography (EN)
ČERNECKÝ, J., PIVARČIOVÁ, E. Holografia a jej technické aplikácie [online]. 2002. . (SK)
HARDING, Kevin G. Handbook of optical dimensional metrology. London: Taylor & Francis, 2013, xiii, 492 pages. ISBN 14-398-5481-5. (EN)
SVOBODA, Tomas a Václav HLAVÁČ. Machine vision: a MATLAB companion. Toronto: Thomson, c2008, xi, 255 s. ISBN 978-0-495-29595-2. (EN)
Recommended reading
VERNON, D. Machine Vision. New York: Prentice Hall, 1991. 255 p. ISBN 0-13-543398-3. (EN)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Overview and design of optical measuring systems, polarization and interference methods
3. High-speed measurement systems, triggering, lightning
4. Microscopy
5. Optical 3D Scanning
6. Processing of measurement results - object detection
7. Processing of measurement results - measurement of dimensions
8. Processing of measurement results - tracing
9. Processing of measurement results - evaluation of velocity
10. Processing of measurement results - evaluation of acceleration
11. Processing of measurement results - Particle Image Velocimetry
12. Processing of measurement results, measurement uncertainty
13. Using of filters and effects (moiré, polarization, shadowing, ghost analysis, gray scale analysis)
Laboratory exercise
Teacher / Lecturer
Syllabus
2. Practical measurements
3. Practical measurements
4. Practical measurements
5. Practical measurements
6. Practical measurements
7. Practical results processing
8. Practical results processing
9. Practical results processing
10. Practical results processing
11. Practical results processing
12. Practical results processing
13. Presentation of projects