Hi Elie, Attempting to correlate signal strengths (RSSI values) with the distance from blue-tooth devices isn't going to get you a 10cm precision especially indoors where radio signals are reflected and scattered. Using the Raspberry Pi devices listening to the RSSI values from various blue-tooth phones I found I could only reliably detect when the device was within 5 metres of the Raspberry Pi. I therefore came to the conclusion that the solution was good for finding which room a person is in within a building, but not the exact whereabouts in the room they are. In the video I did show a scatter graph of distance / RSSI values and although you can see a clear reduction in RSSI value for increasing distances, the scatter of results was quite wild! I explain this starting at around 10:25 in the video. There are techniques for smoothing these results discussed in this paper if you are interested: s2is.org/Issues/v1/n2/papers/paper14.pdf, although I've not tried this. I hope this helps Mark

@@markbaird-mbcoder Hi! I am pursuing my masters and i need some guidance to finish my project work. Do you have an idea regarding ibeacon(BLE). If you know the interfacing of ibeacon with raspberry pi using python, please do help me. Even if you have any information about ibeacon please do share the papers.

@@kontamtejaswini2745 have you got it because i need to know how

Hey Muhamad I'm doing indoor localization project with esp8266 as yours can I ask some questions? İf it's possible could you give me any contact adress?

@@ahmetislam5899 hello guys, I am also doing a project related to indoor positioning. If you know something about it/ interested in, please contact me at hei89708@gmail.com for further discussion!

use the library called pygatt

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