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Opintojakso, lukuvuosi 2020–2021
MEI-56606
Machine Vision, 5 op
Tampereen yliopisto
- Kuvaus
- Suoritustavat
Opetusperiodit
Aktiivinen periodissa 1 (1.8.2020–18.10.2020)
Aktiivinen periodissa 2 (19.10.2020–31.12.2020)
Koodi
MEI-56606Opetuskieli
englantiLukuvuosi
2020–2021Opintojakson taso
Syventävät opinnotArvosteluasteikko
Yleinen asteikko, 0-5Vastuuhenkilö
Vastuuopettaja:
Niko SiltalaVastuuorganisaatio
Tekniikan ja luonnontieteiden tiedekunta 100 %
Ydinsisältö
- Machine vision in production automation: Typical applications (2D/3D). Typical system structures. Commonly used 3D imaging methods.
- Machine vision hardware:
* Different system types (PC based system, smart camera based system)
* Camera types and selection principles: Specifying camera resolution (field-of-view, spatial resolution) and resulting expected measurement resolution.
* Lenses and other optical components: Specifying lens focal length.
* Illumination in machine vision: Importance of illumination concerning the resulting image. Illumination methods and light sources. - Machine vision software and image processing:
Digital image. Typical functionality and special properties of machine vision software. Common programming concepts and methods in machine vision. - Typical machine vision applications/tasks in production automation:
Checking the presence/counting parts - methods
Locating parts for robot pickup - robot and machine vision calibration
Dimensional measurements - measurement accuracy and/or uncertainty
Täydentävä tietämys
- Typical color camera vs. grey-scale camera. Shutter types.
Concepts of depth-of-focus/depth-of-field and optical resolution.
Effect of different light colors (wavelengths). - Understanding basic operating principles of the most commonly used machine vision software algorithms.
Programming simple machine vision application. - Communicating with other equipment.
Calibrating machine vision system and combining camera and robot coordinates.
Calculating measurement uncertainty.
Osaamistavoitteet
Esitietovaatimukset
Lisätiedot
Oppimateriaalit
Vastaavat opintojaksot
Kokonaisuudet, joihin opintojakso kuuluu
Suoritustapa 1
Completed and accepted assignments and exercises about topics discussed during the lectures. Accepted project work.
Osallistuminen opetukseen
26.08.2020 – 01.12.2020
Aktiivinen periodissa 1 (1.8.2020–18.10.2020)
Aktiivinen periodissa 2 (19.10.2020–31.12.2020)