Academic teaching

MVTec is convinced that profound knowledge of the technologies and methods that are actually used in the machine vision industry is essential to give deep insights in industrial image processing.

For this reason, MVTec's research staff is active in academic teaching and has been giving courses about machine vision methods since 2001. The courses also describe how the methods are used in practice to solve real-world applications. Prof. Dr. Carsten Steger is holding a course named "Industrielle Bildverarbeitung (Machine Vision)" every semester at the Technical University of Munich (TUM). Prof. Dr. Steger was appointed as an honorary professor by TUM in 2011. In addition to giving courses, our research team regularly supervises Bachelor's and Master's theses. Additionally, MVTec offers interesting internships for students who are interested in machine vision.

Further, MVTec sponsors the DAGM MVTec Dissertation Award of the German Association for Pattern Recognition (DAGM) in order to honor outstanding dissertations in the fields of pattern recognition, image processing, machine vision, and machine learning.

Newest Award Winner

MVTec's machine vision expertise

MVTec has actively participated in the furtherance of science. Our staff members have published more than 100 scientific papers on many aspects of computer vision and machine vision. Furthermore, MVTec's staff has received several prestigious scientific awards.

View our Publications

MVTec's experience in academic teaching has been condensed into the textbook Machine Vision Algorithms and Applications, which has become a standard reference within the machine vision community. The book has been translated into Japanese as well as simplified and traditional Chinese.

Read more about the Machine Vision Book

Would you like to use MVTec software in your academic lectures?

We are happy to provide our software to professors and lecturers free of charge for their academic teaching. Furthermore, we offer free HALCON licenses for academic research projects for your university.

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