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Identify real world objects defects and differentiate between them

Hello guys,
How to identify between several real world objects which looks alike through Gaze? . For example - say there are 100 monitors placed adjacent or with some space between each other. So how to differentiate between Monitor 1 and and Monitor 2? Also, say I have a data of defects in the backend, so when I gaze at Monitor 1 how to highlight the defect in that particular area on Monitor 1?

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    utekaiutekai ✭✭✭

    Check out computer vision APIs like Microsoft's Cognitive Services or Vuforia.

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    @jbienzms Thank you for your response. You wrote

    They could simply look at the equipment, find the defect using gaze and mark it using voice or gesture

    Seems I did not write it clearly.The specialist is not marking the defects. Instead the defect position(x,y) is already recorded through some other platform during the manufacturing of the product(Monitors in this example) so when the Specialist looks at the monitor the defect position is pulled from that platform and the exact (X,Y) position is highlighted on the real world monitor. Is this implementation possible? How can HoloLens translate the defect (X,Y) to real world monitor's (X,Y)

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