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by qwertox
1832 days ago
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Next step is to set up a grid of ESP32s with MEMS microphones and a FFT routine, stream that data to a server and apply some neural network to get to know the real amount of flies by tracking them individually. Then compare this to the model, and keep improving it until it fits. |
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Turns out one exists [2] (in theory—no commercial product a decade later), but the one I was thinking of would use microphones rather than cameras [3] to detect the bloody suckers. Thing is, I can't find any prior research or even hints that people have considered this approach. (The closest I can find is an app [4] that detects a mosquito from ≤10cm away.) Here are some of my guesses for why it's not been done:
I'm curious what you all think about this. It'd be an interesting thing to try making—who hasn't wanted to make a death ray while simultaneously furthering the fight against humanity's deadliest enemy? [6]See also this research paper: Detecting Insect Flight Sounds in the Field: Implications for Acoustical Counting of Mosquitoes [7] (I'm pretty sure this is not directional—they hung an attractant 15cm from the mic and I don't see any dish.)
[1]: https://www.youtube.com/watch?v=BKm8FolQ7jw
[2]: https://www.ted.com/talks/nathan_myhrvold_could_this_laser_z...
[3]: I don't think cameras are well-suited to detecting something so small. The "photonic fence" from the TED talk only kinda works by adding a white background behind the bugs so it's really easy for the camera to detect them—not that practical in a normal room.
[4]: https://www.theguardian.com/science/2018/mar/29/mosquito-ear...
[5]: https://www.youtube.com/watch?v=Rcm3rPz_Q94&t=127
[6]: https://mysteriousuniverse.org/2014/08/why-mosquitos-are-hum...
[7]: https://pdfs.semanticscholar.org/a0bf/4fcd478b6214759046a739...