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Comment by nether | Hacker News Reader

we're having similar issues in aerospace. time series data out the wazoo.

I used to deal with radar data on roughly this order of magnitude, which had to be synced to the output of other sensors.

I really miss the challenges of real-time signal and data processing. I really want back into it.

Video data from multiple cameras FTW.

So I'm listening to this Radiolab episode [0] about drones with cameras that can solve crime (traffic and other societal ills) and it occurs to me that with everyone soon to be walking around with DSLR-quality smartphones, couldn't we triangulate all this video/ audio data and provide substantially better resolution to daily life? Think of it as continuous Meerkat/ Periscope localized around an event in four dimensions.

[0] http://www.radiolab.org/story/eye-sky/

Yeah ... there is a ton of research out there on multi-sensor fusion; super-resolution & synthetic viewpoint reconstruction.

Even the buzzword-du-jour is getting involved[0].

[0] https://www.youtube.com/watch?v=cizgVZ8rjKA&feature=youtu.be

I was involved in a project conceptualizing real-time video streams from smartphones and synchronizing, adjusting/correcting quality before having it be presentable... in real-time!

Think of a soccer stadium, with fans taking "video" of the game. All the feeds would be gathered, synchronized, quality adjusted and put online for anyone to view, from any angle.

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