aqibsaeed/Place-Recognition-using-Autoencoders-and-NN
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
This helps you accurately pinpoint a device's indoor location using existing WiFi signals, much like a GPS for inside buildings. You provide a database of WiFi signal strengths from known locations (fingerprints) and new, unlabeled WiFi data, and it tells you where those new measurements were taken. This is ideal for anyone managing indoor navigation, asset tracking, or location-based services within large buildings.
265 stars. No commits in the last 6 months.
Use this if you need to determine precise indoor locations without relying on GPS or deploying new hardware, leveraging existing WiFi infrastructure.
Not ideal if you need outdoor positioning or if you don't have a pre-collected dataset of WiFi fingerprints for your desired locations.
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265
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Nov 06, 2017
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