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.

Learning outcomes of the course unit

The course allows the students to take up on the knowledge obtained in previous studies, to deepen it and broaden it with the given fields. Students get familiar with application of advanced methods and procedures of inspection of industrial processes.


Knowledge of mathematics and physics in the extent of previous studies at the Faculty of Mechanical Engineering is expected.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

SVOBODA, Tomas a Václav HLAVÁČ. Machine vision: a MATLAB companion. Toronto: Thomson, c2008, xi, 255 s. ISBN 978-0-495-29595-2. (EN)
VERNON, D. Machine Vision. New York: Prentice Hall, 1991. 255 p. ISBN 0-13-543398-3. (EN)
HARDING, Kevin G. Handbook of optical dimensional metrology. London: Taylor & Francis, 2013, xiii, 492 pages. ISBN 14-398-5481-5. (EN)
PATA, Vladimír. Vysokorychlostní kamerové systémy. Vyd. 1. Brno: Akademické nakladatelství CERM, 2006, 92 s. ISBN 80-7204-480-x. (CS)
CIELO, Paolo G. Optical techniques for industrial inspection. Boston: Academic Press, c1988, xii, 606 p. ISBN 01-217-4655-0. (EN)
ČERNECKÝ, J., PIVARČIOVÁ, E. Possibilities and prospects of holography (EN)
ČERNECKÝ, J., PIVARČIOVÁ, E. Holografia a jej technické aplikácie [online]. 2002. . (SK)

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures. According to the possibility of teaching can be organized lectures for students by practitioners and excursions to companies focused on activities related to the course content.

Assesment methods and criteria linked to learning outcomes

Requirements for course-unit credit award: presence and active participation in seminars, semestral work elaboration, in justified cases, the lecturer may set alternative requirements.

Language of instruction


Work placements

Not applicable.


The aim of the course is to make students familiar with the methods in the field of optical measurement systems used in industrial inspection. The logical structure of the course is focused on high-speed and microscope metrology.

Specification of controlled education, way of implementation and compensation for absences

Participation in the course is compulsory. In justified cases alternative form of tuition, solution of individual semestral project.

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-KSB , 1. year of study, summer semester, 3 credits, elective (voluntary)

Type of course unit



13 hours, optionally

Teacher / Lecturer


1. Industrial inspection and requirements to measuring systems, an overview of industrial processes in which utilizes optical inspection
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

13 hours, compulsory

Teacher / Lecturer


1. Rules of safety work in laboratory
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