find

This Python package is a nice port of a system I wrote [1] which I call FIND (the Framework for Internal Navigation and Discovery) [2]. I believe whereami mostly supports laptops, but with FIND you can do internal positioning on a lot devices - Android phones, Electric Imps, Raspberry Pis, Particles, and soon ESP8266s [3] and even iPhones if you are willing to go through some extra setup. [4] [1]: https://news.ycombinator.com/item?id=11517667 [2]: https://github.com/schollz/find [3]: https://www.internalpositioning.com/client/ [4]: https://github.com/schollz/find-lf

FIND author here. It's not doing internal positioning with Channel State Information (CSI), but there are folks that are [1]. The approach in FIND is different [2] - FIND just uses RSSI+MAC information which works great on mobile devices and simple esp8266 chips and doesn't require code for the specific network interface. As far as I know you have to write some network card specific code to be able to use CSI. [1] https://arxiv.org/pdf/1603.07080.pdf [2] https://github.com/schollz/find#about

Thanks for the links! I haven't seen those. I know that this already exists in many variations: https://github.com/schollz/find/blob/master/FAQ.md#doesnt-th... Still, I've never seen one that is open-source that works pretty well, so I thought I'd put mine out there.

For those of you curious how it works, it's a parasitic radar system using the wireless APs of you/your neighbors to triangulate it's own position. https://github.com/schollz/find/blob/master/FAQ.md#how-does-...

Yes according to the FAQ: "The WiFi fingerprints are also the same across all devices so that learning using one device is guaranteed to work across all devices." https://github.com/schollz/find/blob/master/FAQ.md#doesnt-th...

For those interested, I'm working on an open-source project for doing this at home: https://github.com/schollz/find My solution basically uses the RSSI values for generating classifiers for each room. It works well enough to replace motion sensors.