Discussion
Holy shit.
This guy takes a couple of minutes of audio from a security camera anywhere in the US, with no clues from the video whatsoever, and finds the exact spot where it was recorded.
How?
By correlating the Doppler curve sounds from two almost inaudible planes passing by with public ADS-B flight data.
https://www.youtube.com/watch?v=UytYrhYLOKI (29 min)
I think this is the #OSINT video of the year.
YouTube
I would assume that any municipal microphone (ALPER, ShotSpotter, security camera) could map a city and provide ground truth for anonymous audio.
@scy @drahardja I guess you have to do your shenanigans near airports - or fake an airport by playing random doppler curves… Impressive!
@scy Military forces have been doing this for decades.
@scy Man..., and my high was just hitting that good place too...
@scy That is incredible.
The physics modelling, searching over massive data sets, layering all of that together to find a needle in that haystack.
@scy Amazing. What a thrilling video. Thanks for sharing.
@scy sometimes I think about all the things we’re going to learn from old film (eg, Zapruder) with mass facial recognition and things like this. It’s an amazing time.
Two thoughts about this method:
1. They assume a constant base frequency that only shifts because of the Doppler effect, but I'd argue you can get more precise results if you consider frequency changes due to flight maneuvers, changing speed etc., too.
2. You could combine this method with ENF analysis to narrow down the date and/or time.
https://en.wikipedia.org/wiki/Electrical_network_frequency_analysis
YouTube
@scy I wonder if me living near an international airport with near constant air travel means this is easier to do or harder to do to my audio recordings