Lehrstuhl für Angewandte Softwaretechnik - Chair for Applied Software Engineering

Master's Thesis

Automatic Detection of Damaged Small Parts during Overhauling Processes

Advisor

Sajjad Taheri

Author

Ralf Schönfeld

Date

15.04.2018

Creating a model to detect damaged small parts (screws, bolts, nuts, pins, washers, etc.) in overhauling industrial machineries, using deep learning and convolutinal neural networks

Mission Statement

Developing and managing software is always on the move. Continuously growing complexity and shortened development cycles require flexibility, new ideas and courage to challenge traditional approaches. This is what we aim in research and teaching.

Together with industrial and research partners, we develop, evaluate and implement new methods and solutions to deal with today's challenges.

Teaching is our main concern. Following learning by doing, we offer lectures, seminars and practical courses with real projects and customers. Students prepare for their professional life, gain theoretical and practical knowledge and have fun.

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Teaching

Courses: real clients, real projects

Experiential learning

Blended learning

"Tell me and I will forget.
Show me and I will remember.
Involve me and I will understand.
Step back and I will act."

(Chinese Proverb)

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Summer Schools

JASS
St. Petersburg, Russia

Ferienakademie
Sarntal, Südtirol

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