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Neural-network-assisted in situ processing monitoring by speckle pattern observation

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Document pages: 12 pages

Abstract: We propose a method to monitor the progress of laser processing using laserspeckle patterns. Laser grooving and percussion drilling were performed usingfemtosecond laser pulses. The speckle patterns from a processing point weremonitored with a high-speed camera and analyzed with a deep neural network. Thedeep neural network enabled us to extract multiple information from the specklepattern without a need for analytical formulation. The trained neural networkwas able to predict the ablation depth with an uncertainty of 2 micron, aswell as the material under processing, which will be useful for compositematerial processing.

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