running_page VS sbts-aru

A resource recently shared in HN for running tech lovers https://github.com/yihong0618/running_page

Unfortunately a Raspberry Pi is a bit ill suited for production environments. Id recommend an RTC module. Otherwise this might be helpful: https://github.com/hcfman/sbts-aru

If you install my sbts-aru project

https://github.com/hcfman/sbts-aru

It will shrink your partitions, add news and install one of these and set up a sub micro second system clock and an audio recorder suitable for sound localization with a single install command.

I recommend primo EM272 microphone capsules for use with https://github.com/hcfman/sbts-aru. They are high quality, very sensitive with high signal to noise ratio, lauded for nature recording use cases. They can be bought assembled for around 65 euros in the Netherlands. However these capsules are often found in much more expensive equipment.

My sound localizing Raspberry Pi installs a resilient base system as part of its install.

https://github.com/hcfman/sbts-aru

https://hackaday.com/2023/12/30/localizing-fireworks-launche...

With one command it for all Pi’s for both Raspbian and bookworm it:

* Shrinks the file system (Gee, how does it do that with just one disk ? ;-) )

I have a sound localization project that can help with that

https://github.com/hcfman/sbts-aru

You need to be able to hear the sound from three or more recorders. And normally localization is better within the polygon of microphones but there’s an area of better localizability extending outside of a vertex.

Interesting history!

And while we are in the subject of sound localizing may I take the liberty of introducing my new raspberry pi sound localizing audio recorder.

https://github.com/hcfman/sbts-aru

It installs with one command on all Raspberry Pi versions and synchronizes the system time to less than 1 microsecond of error with a cheap GPS.

With three of these I’ve been able to sound localize the explosions from illegal fireworks to a specific car park from more than 3km away with lots of houses in between.

When I got to the car park I could smell the sulphur from the fireworks.

This will even run on a Raspberry Pi zero running of a battery with a 6 euro neo 7m gps and a 6 euro usb mic.

Very nice tool!

So grab a spare Raspberry Pi, a GPS, a cheap USB sound card and a mic and get recording with this Pi based Acoustic Recording Unit

https://github.com/hcfman/sbts-aru

And while you are at it, install 3x or more and localize where the birds are.

Sound localizing. I was intensely passionate about it when I saw the possibility to do it well on a Raspberry Pi. There were quite a few more problems than so expected which is why it took five months (of weekends) to complete it well.

But I’m super happy with the result and have a bunch of geeks with recording nodes setup a long distance apart. Localizing large explosions show that it’s possible to localize to a carpets even when some of the nodes are almost 5 away.

For those interested, here is the project:

https://github.com/hcfman/sbts-aru