preprintZenodo (CERN European Organization for Nuclear Research)Aug 9, 2024GREEN OA

Automated Indent Scanning: Artificial intelligence assisted scanning of large regular and irregular nanoindentation arrays in scanning electron microscopes

RTReclik, Tom Markus

RWTH Aachen University

Indexed indatacite

Abstract

Recording larger arrays of indents is a tedious and time intensive task. This project aims to automate this process through the use of the Python API provided by the Tescan microscope (SharkSEM), simple automation scripts, and the use of object detection techniques (YOLO).

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Authors

1
  • RT
    Reclik, Tom MarkusCorresponding

    RWTH Aachen University

Topics & keywords

Topics
Keywords
  • Object detection
  • Computer science
  • Artificial intelligence
  • Bounding overwatch
  • Pipeline (software)
  • Margin (machine learning)
  • Frame (networking)
  • Minimum bounding box
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