Main objectives for this course are acquiring knowledge and getting familiar with different types of machine vision systems and solutions (including robotics applications). Studying in this course require fundamentals in field of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE ENGINEERING PRACTICE
Student is familiar and able to use image acquisition, image pre-processing and image analysis functions in machine vision systems with grayscale and color cameras. Student is familiar with hardware component properties (cameras, image processing components, light sources, optics, connections) in machine vision. Student understands functionalities, limits and opportunities in machine vision systems. Student is able to design machine vision system and program machine vision application and algorithms according to end-user requirements. Student is able to design the installation of the machine vision system according to end-user needs (designing optical geometry, choosing camera and lightning options, implementing interface to automation system, designing environmental protection).