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Rssi based location calculation with Wi-Fi signal

It is necessary to calculate the location of a phone with the signals received from the Access Points placed at certain locations indoors.

In order to feed the system, sample rssi signals collected from indoor will be shared over a list. Using these signals, the location can be calculated by machine learning. At the same time, the accuracy of position calculation can be increased with the trilateral algorithm. Our aim is to calculate location with 1 meter accuracy with Wifi rssi signals.

Example Access Point Definitions:

AP, Floor Langtitude, Longtitude

AP1, 1 41.112491, 29.298048

AP2, 1 41.111652, 29.304504

AP3, 2 41.113330, 29.292928

Sample data collected from indoor

Device, Floor Langtitude, Longtitude, AP, Rssi

Android-1, 1 41.111736, 29.298939 AP1, -50

Android-1, 1 41.111736, 29.298939 AP2, -85

iPhone-1, 2 41.112605, 29.300455 AP1, -85

We request that a library be written that we can use for this job. It will be delivered with source codes.

Kemahiran: Pengaturcaraan C, Pengaturcaraan C++, Machine Learning (ML), Algoritma, Python

Tentang Klien:
( 0 ulasan ) İstanbul, Turkey

ID Projek: #34774575

20 pekerja bebas membida secara purata $495 untuk pekerjaan ini

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thepro

Hi, Seems like a very interesting project. I don't think that triangulation will work indoors with irregular wave paths. But ML seems like a perfect solution if I can get 1000 or more observations to learn the ML al Lagi

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