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And now think of how much high definition video, CCTV, and other forms of recordings already exist.. and then think about running large collections of pre-existing video through such algorithms, along with the best speech-to-text in the business. You could have a whole new Wikileaks on your hands :-)
And now think of how much high definition video, CCTV, and other forms of recordings already exist.. and then think about running large collections of pre-existing video through such algorithms, along with the best speech-to-text in the business. You could have a whole new Wikileaks on your hands :-)
If you want to record a particular person through a window, for instance, you can get a laser microphone that catches the vibrations of the glass.
It doesn't seem to mention what kind of camera you'd need to do this at the mentioned distance (15 feet). I'm assuming it's at least a couple thousand bucks, or maybe even so expensive that most professional photographers won't have it, but does anyone actually know? Or did I miss it in the article?
Earlier quoted context omitted.
Cameras basically read their sensors one row of pixels at a time. By measuring the distortion of each row, they can detect vibrations higher than the camera's frame rate.
So it's like if 960-row video at 60fps were actually a 57600 rows-per-second video, right? Which they can extract info from because having more rows in a still frame doesn't mean having more information (at least not linearly), i.e. in still frames with no rolling shutter, rows contain redundant vibration already extracted from previous rows. So having a rolling shutter is good for this specific application because i…
It doesn't seem to mention what kind of camera you'd need to do this at the mentioned distance (15 feet). I'm assuming it's at least a couple thousand bucks, or maybe even so expensive that most professional photographers won't have it, but does anyone actually know? Or did I miss it in the article?
1) A lot of the tests were done with a camera that costs thousands of dollars. You can see images of the camera used in one of the experiments.
2) They were able to use consumer-grade cameras to also capture sound. Even frequencies up to 5x higher than the actual 60 FPS of the captured video.
This is from the movie Eagle Eye, right? The evil computer watches the vibrations in a cup of coffee while someone is speaking.