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Hi, author here. Happy to answer questions :)


Can you describe what kinds of accuracy are possible in various situations? What data sources are currently supported other than WiFi and Bluetooth (magnetic fields are mentioned)? Is mapping of the WiFi/BT/Magnetic field required? (And how often is remapping typically required? If I move my WiFi emitting laptop to a new location does that require remapping the entire WiFi space?)


> Can you describe what kinds of accuracy are possible in various situations?

Accuracy depends highly on the environment. If you're talking about houses/apartments its generally room level or subroom level (~10 sq ft). It depends on the number of WiFi routers in the vicinity, but this number if always growing so accuracy can get pretty good in some areas. Of course it's accuracy goes way down if you are in a remote area with no bluetooth or wifi points in the vicinity.

> What data sources are currently supported other than WiFi and Bluetooth (magnetic fields are mentioned)?

The FIND system accepts any data source that can be quantified. In the API you just label your data and the system will try classifying with it. For my purposes I developed an app and a CLI tool that can geolocate phones/computers and these use bluetooth and wifi.

> Is mapping of the WiFi/BT/Magnetic field required?

You don't need to map the fields, but you do need to go through a learning phase to help the system learn what kind of fingerprint each area has.

> And how often is remapping typically required?

It depends on your location. If you are in a rural area with only one WiFi router and it gets moved, then you need to remap. Surprisingly I've used this in airports (which have tons of ad-hoc wifi networks) and the accuracy stays resilient to the adhoc networks coming and going.

> If I move my WiFi emitting laptop to a new location does that require remapping the entire WiFi space?

It depends again, if your laptop is the only source of WiFi then yes you will need to remap. However, if your laptop is one of 10 or 20 sources, then it probably won't matter for the accuracy. In the system there are controls for this (visualization of patterns, test validations, etc.) so that you can monitor how this affects your system.


Just an FYI but there's a bunch o weird shit indexed by Google on ml2.internalpositioning.com and ml.internalpositioning.com.


Thanks. I moved DO droplets and deleted the DNS for those, but I guess they hung around long enough to get muddied. I re-enabled the DNS so those domains should point back to my domain.




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