MEI-56606 Machine Vision, 5 cr
This course will focus on industrial applications of Machine Vision, and especially from production automation point-of-view.
Course will include large amounts of independent studies in the form of reading texts (book chapters, articles, etc.), performing tasks on-line in Moodle, writing essays, etc. In addition, course will include hands-on work in laboratory.
|MEI-56606 2019-01||3 - 4||
|Completed and accepted assignments and exercises about topics discussed during the lectures.|
After completing the course student has know-how about industrial machine vision at the level that he/she can analyse simple applications from machine vision point-of-view, select suitable machine vision hardware components for the application, and program the machine vision equipment. Student can also analyse how reliable the measurement/inspection results are and identify error sources.
|1.||Machine vision in production automation: Typical applications (2D/3D). Typical system structures. Commonly used 3D imaging methods.|
|2.||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.||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).|
|3.||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.||Understanding basic operating principles of the most commonly used machine vision software algorithms. Programming simple machine vision application.|
|4.||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||Communicating with other equipment. Calibrating machine vision system and combining camera and robot coordinates. Calculating measurement uncertainty.|
|Book||Machine Vision Handbook||Bruce G. Batchelor||ISBN: 978-1-84996-168-4 (Print||TUT has one paper copy at library (only short term loans) and license to eBook, see link.||No|
|Lecture slides||Lecture materials etc.||Lecturer(s)||Lecture slides, exercise problems, assignment instructions, etc.||No|
This course has no formal prerequisites, but since this is a Master's level course, we expect that students have some previous knowledge about production automation. Elementary know-how on programming will help completing course tasks, but is not strictly required.
|MEI-56606 Machine Vision, 5 cr||MEI-44506 Machine Vision and Optical Measurements, 6 cr|