Rssi based location calculation with Wi-Fi signal
Budget: $250 – $750 USD
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.
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.