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Tell me about the confidence key #197

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mrmay-dev opened this issue May 8, 2023 · 5 comments
Open

Tell me about the confidence key #197

mrmay-dev opened this issue May 8, 2023 · 5 comments
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question Further information is requested

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@mrmay-dev
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mrmay-dev commented May 8, 2023

Hi all,

Haystack reports have a key called conf. I’ve seen it go as high as 115. What is this number telling me? What’s the scale?

My best guesses are:

  • it’s the dBm of the beacon’s signal. This would allow a very rough estimate of the distance between the tag and the iPhone.

  • it’s the estimated distance, in feet, between the tag and the iPhone sending the report. Using this as a confidence radius produces reasonable results.

I think the first is most likely, but the second produces reasonable ranges.

What am I missing or don’t know?

Thanks in advance

@mrmay-dev mrmay-dev added the question Further information is requested label May 8, 2023
@michellarcari
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michellarcari commented May 19, 2023

I'm also curious to know what that piece of data means, but my best guess is that it's the estimate distance between the tag and the reporting device. Anyone?

@humpataa
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humpataa commented Nov 8, 2023

I get confidence values up to 220 ... my guess is the distance to the tag: the closer the higher the more accurate the gps values. I believe it is based on the strength of the signal (dBm) which can be used to measure the distance.

@mrx23dot
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mrx23dot commented Nov 8, 2023

If we could intercept what an original airtag returns back via API
and what's shown in original map as radius then we could reverse engineer it.

@humpataa
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humpataa commented Jan 5, 2024

Just read in the author's paper that it likely represents the accuracy in meters. If you open google maps and look at yourself it shows a blue circle – "confidence" being the diameter of it – if I understand it right.

@mrx23dot
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Paper doesn't give details on confidence.
But GPS comes from the finder phone not from the tag,
so maybe it's related to BLE RSSI e.g. -115dBm

would be easy to reverse engineer it, do 5 measurements via the network, meters vs confidence value,
something like 1m, 5m, 10m , 15m, 30m I don't think it goes further.

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