Very nice integration of the two technologies! Has your team ever considered attempting RF localization in addition to acoustic data? Most of the interesting wavelengths are pretty close to the audio range you're currently operating with and aside from applying some data-reduction techniques it seems like many of your algorithms and data pipelines would be directly applicable. There are obvious applications in security and counter-intelligence but might be useful for a wide array of engineering applications.
There is a big difference between speed of light and speed of sound. I think it will be well outside the range of processor speeds available to capture valuable data. But I have to say these gfai tech guys are damn smart so they will probably be able to find a way.
solid !
Very nice integration of the two technologies!
Has your team ever considered attempting RF localization in addition to acoustic data? Most of the interesting wavelengths are pretty close to the audio range you're currently operating with and aside from applying some data-reduction techniques it seems like many of your algorithms and data pipelines would be directly applicable. There are obvious applications in security and counter-intelligence but might be useful for a wide array of engineering applications.
Hi jcims,
great idea. We have not considered RF yet, but the technology itself is not limited to audible sound.We will have a look into it!
There is a big difference between speed of light and speed of sound. I think it will be well outside the range of processor speeds available to capture valuable data. But I have to say these gfai tech guys are damn smart so they will probably be able to find a way.
The Fourier transform is a amazing math tool...
👏