Automatic laser beam alignment using computer vision and actuated mirrors
Kalliomäki, Jussi (2024)
2024
Sähkötekniikan DI-ohjelma - Master's Programme in Electrical Engineering
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2024-06-18
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202406067010
https://urn.fi/URN:NBN:fi:tuni-202406067010
Tiivistelmä
In this thesis, methods and software for an automatic laser beam alignment system are designed, implemented, and tested. The system utilizes actuated mirrors and computer vision interfaced with the software. Tested optimization methods were the Nelder-Mead method, Powell’s method, and the Nelder-Mead method with adaptive parameters. Other possible methodologies such as mathematical modeling of optical systems and approaches based on reinforcement learning are also discussed.
The precision target for the alignment was 1 μm for each laser beam on the system, which was achieved using a combination of Powell’s method and the Nelder-Mead method. By combining the algorithms, reliable and precise alignment of the laser beams was achieved.
The precision target for the alignment was 1 μm for each laser beam on the system, which was achieved using a combination of Powell’s method and the Nelder-Mead method. By combining the algorithms, reliable and precise alignment of the laser beams was achieved.