AI applied to Fiber Optic connector inspection

Created July 5, 2021
Technologies and Products

Data-Pixel has designed a new microscopy method for measuring defects and scratches using deep learning algorithms. This is a major advance in the industrial vision applied to fiber optic connectors.

Our Deep Learning software, based on AI, learns from a set of representative samples and diagnoses connector end-faces using taught criteria. This continuous learning process is carried out using images of characterized defects and scratches.

This Deep Learning solution is integrated into BLINK, our software; it establishes a scoring of defects and scratches based on a learned data set enabling a fine adjustment of the detection threshold sensitivity.

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