Computervision

This course aims to familiarize students with the basic principles and techniques of image processing and understanding. Different feature engineering and (deep) learning based approaches will be studied and evaluated on a variety of industrial use cases.

Goal of the course

The student is given the opportunity to gain some experience with some practical computer vision applications. Through integrated exercises and examples in the labs, the student will have the ability to visualize, analyze and manipulate images/video according to the learned techniques.

The students

Master of Science in Machine and Production Automation Engineering Technology

Input at the start

Dataset + problem description (needs/requirements/...)

End result

Prototype + report

Example projects

New course in 2021-2022

Practicalities

Teaching language

English

Budget

Worktime for students

24h

Timing

2nd semester