Master Thesis “Liquid Lenses for Inline Inspection”

As

for applied research, we are dedicated to making substantial contributions to solving the major challenges of our time, climate change, and digitization. To achieve our goals, we rely on our specific research, development, and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy and society.

Our

located in

invites applications for a

.

For this Master thesis project, you will become a team member of the

, where we innovate 2D & 3D vision systems that go beyond the state of the art, by developing advanced vision sensor concepts, designing scalable embedded vision systems, and applying machine learning methods to conduct high-performance visual quality inspection in industrially relevant settings. The Competence Unit has been active in research for industrial inspection and quality assurance systems for over 20 years, which creates a stimulating and supportive framework for the students working with us.

The objective of this Master’s thesis project is to

the potential of

for industrial inspection, particularly for two industrially relevant use cases, including fast optical line-scanning and 3D inline computational imaging. Several industries are facing the challenge of becoming more

by enhancing their production processes to use energy and material resources more efficiently. This can be supported by

avoiding/reducing waste during production. However, for fast optical inspection systems, required for high-throughput production processes, the limited depth of field of view of conventional optical imaging systems becomes a major obstacle. It is possible to overcome this limitation with liquid lenses, which are mature enough to be used in industrially relevant scenarios.