Defects recognition algorithm development from visual uav inspections

HIGHLIGHTS

• who: Nicolas P. Avdelidis et al. from the School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield , AL, UK have published the article: Defects Recognition Algorithm Development from Visual UAV Inspections, in the Journal: Sensors 2022, 22, 4682. of /2022/
• what: The authors propose a two-step process for automating the defect and classification from visual images. This is also the main reason why the authors used the techniques of reduce learning and early stopping.
• how: The models were implemented using TensorFlow as this is a well-established deep learning library widely used . . .
  

   

  

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