Flock Safety, the police technology company most notable for their extensive network of automated license plate readers spread throughout the United States, is rolling out a new and troubling product that may create headaches for the cities that adopt it: detection of “human distress” via audio. As...

Oh no, who could have possibly foreseen that this was their endgame?

Flood them with signal so that it’s all noise

excursion22
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No one could’ve ever seen this coming…

ms.lane
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Does this mean the people playing their crappy music at full blast on speakers as they walk are now providing a public service?

Here’s a fun trick: If you have N microphones on an area you can filter the audio to N -1 voices using just linear algebra, no AI.

It’s a very cool trick.

Now imagine what happens when you add AI and blanket an area.

Wait, how? Got a link pls?

I had to do a bit of research to remind myself. We did this in university as an exercise, so it was a while ago.

Basically with N signals (speakers) and M mixes (microphones). When M > N then you can create an MxN matrix and solve it numerically, and we were able to do that pretty easily. We also did the case where M=N as a demo and we used ICA for that with either projection pursuit or SVD, I can’t remember.

You can read more about this on Wikipedia:

With modern models this would be even easier with fewer microphones, and there’s been a lot of time and money between when these methods were devised and now.

My bet is on some Fourier transform fuckery

@harsh3466@lemmy.ml
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ELI like I’m five please?

I want a “target pressure wave attack” necklace

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