361.012 Machine Vision
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019S, VO, 2.0h, 3.0EC, to be held in blocked form

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture

Aim of course

Give the student the means to design a machine vision system for a given scientific or industrial application.

There will be an exam at the end of the last lecture. There will be also two assignment with each a one-page report on a topic related to Machine vision.

Subject of course

Introduction and examples to machine vision - the consideration of a vision system beginning from lighting and media, over sensors to algorithms, methods and examples. The lecture is the result of the growing need of industry to use machine vision systems in inspection and manufacturing. Two thirds of the Institute's assistants are employed via contracts in the field of machine vision. A short Overview: Physics of lighting Line and array cameras, lenses Geometry of camera and objects Algortihms and methods of image processing Applications: Inspection systems, vision-based motion of a robot

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed14:00 - 17:0005.06.2019 Computerlabor, Gusshausstr. 27, 4th floor, CA0426Lecture, blicked
Fri14:00 - 17:0007.06.2019 Computerlabor, Gusshausstr. 27, 4th floor, CA0426Lecture, blocked
Wed14:00 - 17:0012.06.2019 Computerlabor, Gusshausstr. 27, 4th floor, CA0426Lecture, blocked
Thu14:00 - 17:0013.06.2019 Computerlabor, Gusshausstr. 27, 4th floor, CA0426Lecture, blocked
Course is held blocked

Examination modalities

oral. The exam takes place after the last lecture. At the exam you nmeed to hand in the two-page paper.

Course registration

Not necessary

Curricula

Literature

Lecture notes for this course are available on-line in TISS.

Language

English