Fringe detection and displacement sensing for variable optical feedback-based self-mixing interferometry by using deep neural networks

HIGHLIGHTS

• who: Asra Abid Siddiqui et al. from the School of Electrical Engineering and Computer Science, National University of Sciences LAAS-CNRS, University of Toulouse, INP-ENSEEIHT, Toulouse, France have published the article: Fringe Detection and Displacement Sensing for Variable Optical Feedback-Based Self-Mixing Interferometry by Using Deep Neural Networks, in the Journal: Sensors 2022, 22, 9831. of /2022/
• what: This paper presents a work that employs deep neural_networks (DNNs) for FD and subsequent displacement measurement specifically under VOF conditions. The work presented uses a convolutional neural_network (CNN) to directly retrieve displacement from SMI signals . . .
  

   

  

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