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.

2024S, VO, 2.0h, 3.0EC, to be held in blocked form


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

Learning outcomes

After successful completion of the course, students are able to recognize machine vision systems and identify their components. The students are familiar with basic methods of machine vision and can classify new methods.

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

Teaching methods

The methods mentioned above are explained in the lecture and backed up with examples.

Mode of examination




Course dates

Wed14:00 - 17:0010.04.2024 ACIN Computerlabor CA0426Lecture
Thu14:00 - 17:0011.04.2024Seminarraum 366 Lecture
Tue14:00 - 17:0016.04.2024 ACIN Computerlabor CA0426Lecture
Tue14:00 - 17:0023.04.2024 ACIN Computerlabor CA0426Lecture
Mon16:30 - 17:3029.04.2024 ACIN Computerlabor CA0426Exam
Course is held blocked

Examination modalities

Elaboration of two small projects and short, oral exam. Exam at the end of the last lecture.

Course registration

Begin End Deregistration end
05.03.2024 00:00 18.04.2024 23:59


Study CodeObligationSemesterPrecon.Info
710 FW Elective Courses - Electrical Engineering Elective


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