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.
The lecture will be held via Zoom on the specified dates. Link can be found in TUWEL.
Please register in TISS.
The idea is to hold a discussion lecture: Students read the lecture material before the appointment. The appointment is used to first repeat the most important points and then answer questions at any time.
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
