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Offline development of active-alignment-algorithms by efficient interpolation of discrete databases

: Hoeren, Maximilian; Zontar, Daniel; Sauer, Sebastian; Schmetz, Arno; Berger, Marvin; Müller, Tobias; Brecher, Christian


Zediker, Mark S. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
High-Power Diode Laser Technology XVII : 3-5 February 2019, San Francisco, California, United States
Bellingham, WA: SPIE, 2019 (Proceedings of SPIE 10900)
ISBN: 978-1-5106-2442-9
ISBN: 978-1-5106-2443-6
Art. 109000V, 7 pp.
Conference "High-Power Diode Laser Technology" <17, 2019, San Francisco/Calif.>
Industrial Laser, Laser Source and Laser Applications Conference (LASE) <2019, San Francisco/Calif.>
Conference Paper
Fraunhofer IPT ()
database; optical component; computer simulation; detection and tracking algorithm; evolutionary algorithm; imaging system; sensors

Automated active alignment of optical components during the assembly process of optical systems is state of the art in todays optics-production. With the increasing demand of optical systems in smart devices and automotive technologies, new methods and strategies have to be developed to guarantee rapid and goal-oriented development of active-alignment algorithms. A key approach to this is offline development via simulations. This paper presents and evaluates an efficient approach to generate a continuous data-feedback for the offline development of active-alignment-algorithms by interpolation of a discrete database. Dependent on the system-input the described procedure generates the raw, array-like output data of a CCD-chip from the existing data of the local neighborhood.