Papers
3
Total Citations
11
H-Index
2
About
Daniel Carl is a pioneering researcher in the field of digital holography and hybrid manufacturing, with a focus on integrating high-precision optical measurement systems into automated production environments. His key contributions center on developing wireless digital-holographic sensors and multiwavelength measurement techniques for use on multi-axis systems, such as robots and machine tools. Carl introduced the world’s first wireless digital-holographic sensor with the HoloCut system, enabling flexible, high-speed quality control in production lines with decreasing vertical manufacturing ranges. His work addresses critical challenges like vibration detection during hologram reconstruction, for which he employs deep learning to improve measurement accuracy in dynamic industrial settings. Notably, he has demonstrated the first extensive, stitched multiwavelength digital holographic measurements using a collaborative robot for handling, showcasing the potential for automated, high-precision inspection. With his most-cited paper garnering 6 citations, Carl’s research is foundational for advancing quality control in machining production, offering solutions that enhance flexibility and speed while maintaining precision. His achievements highlight a commitment to bridging optical metrology and industrial automation, making his work essential for students and researchers exploring next-generation manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1Digital holographic measurement system for use on multi-axis systems6 citations · 2021
- 2
- 3Multi-wavelength digital holography on a collaborative robot2 citations · 2021