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Object Recognition

Discussion in 'AR' started by sHarCoooN, Jul 20, 2020.

  1. sHarCoooN

    sHarCoooN

    Joined:
    Jul 20, 2020
    Posts:
    1
    Hey guys,

    for my study i do a practical project with augmented reality. The goal of the project is to recognize defects on industrial objects. My first method i want to use is image tracking and use reference images for the defects to recognize them. Now i want to test it with 3d scanning with ArKit. And now my question. Is it possible to get a percentage number of how much the object got recognized? Like Tensorflow does it. And if its possible i wanted to use this percentage like "if the percentage the scanned object is recognized is higher than 80%, its not defective and if its under this percentage it could be defect."

    would be nice if someone could help me :)

    Greetings Dominik
     
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