Apply now to Bosch Research and combine academic excellence with real-world industrial impact. In this Master thesis, you will contribute to the development of advanced anomaly detection methods for industrial multi-channel vision systems for quality assessment in series production. Our goal is to design a generalizable deep-learning model that leverages vision features to reliably detect defects across varying products and manufacturing scenarios.
- During your Thesis you will explore cutting-edge approaches in anomaly detection and multi-channel image processing to develop a novel, generalizable model for quality assessment in industrial production.
- Furthermore you will implement, train, and evaluate your approach using real-world production data, ensuring its robustness and suitability for industrial applications.
- Lastly you will work closely with experts from research and development as well as production, regularly presenting your results and thus fostering continuous innovation in computer vision for manufacturing.