Tobias Seyler

Fraunhofer Institute for Physical Measurement Techniques

Papers

Total Citations

H-Index

About

Tobias Seyler is a leading researcher in digital holography and optical metrology, with a focus on integrating advanced measurement systems into automated production environments. His work centers on hybrid manufacturing processes, where high precision and flexibility are critical, and he has pioneered the use of digital holographic sensors on multi-axis systems such as robots and machine tools. Seyler’s major contributions include the development of the world’s first wireless digital-holographic sensor, HoloCut, and the application of deep learning to detect vibrations in multiwavelength holographic measurements—addressing a key challenge in real-world manufacturing. His research has garnered citations across multiple high-impact papers, including his 2021 study on digital holographic measurement systems for multi-axis systems (6 citations) and his 2023 work on vibration detection using AI (3 citations). Notably, Seyler was the first to present extensive, stitched multiwavelength holographic measurement data recorded using a collaborative robot, demonstrating a significant leap toward automated, high-speed quality control. His achievements are shaping the future of inline inspection in smart factories.