iQonic partners, ficonTEC and Prima Electro, collaborate on a joint publication about “Micro-optics assembly for fast axis collimation by means of convolutional neural network”

In August 2021 iQonic partners, ficonTEC and Prima Electro released in the peer-reviewed journal Optics Express  a scientific article about “Micro-optics assembly for fast axis collimation by means of convolutional neural network”.

This open-access paper details a new active approach on the use of a pre-trained convolutional network (CNN) to decrease the alignment time of the optical components in the production of high-power diode laser systems. They predict that the implementation of the best performing CNN-based model to decrease the alignment time has important benefits in a high-volume manufacturing environment.

Architecture of the AlexNet-based convolutional network.

This is relevant especially since the manufacture of high-power diode laser systems highly depends on the quality of the collimation of semiconductor laser diodes, collimation that is conducted by precise alignment of micro-optics, where the first and the most critical step is the placement of the fast axis collimator (FAC) lens.

Link to the publication