indoor-positioning

Uses WiFi signals 📶 and machine learning to predict where you are

High-precision indoor positioning framework, version 3.

An ESP32 based node for gathering indoor positioning and transmitting to mqtt

Bluetooth Low Energy (BLE) packet sniffer and transmitter for both standard and non standard (raw bit) based on Software Defined Radio (SDR).

Open Source Lighthouse Tracking System

Estimote Indoor SDK for iOS

Multilateration using bluetooth beacons

Strongly accurate indoor positioning algorithms with the main focus on indoor navigation developed by Navigine company. Here we will step by step publish the source code of our algorithm starting with trilateration.

HA Add-on / Docker container that solves indoor positions with mqtt data received from multiple ESPresense nodes

Android library scanning BLE beacons nearby with RxJava

The command-line scanner that supports Bluetooth and WiFi

[Esri GIS 2nd Prize] We developed this indoor and outdoor seamless positioning and navigation system under the Android system by using the built-in multi-sensors of mobile phones.

An android app that scans Bluetooth and WiFi for FIND3

WiFi Based Indoor Positioning System, A MVP android Application

🚀 Evaluation of Location of the device using RSSI values of Access Points and Reference point which are made from Wi-Fi readings

Scans all nearby wifi networks and the devices connected to each network for Indoor positioning

An BLE scanner application for ESP32 that publishes all detected BLE devices using MQTT.

AR app for indoor navigation using ARcore and Sceneform.

Passive indoor localization using WiFi signal strength

This is an open-source project that employs deep learning to enhance indoor positioning using WiFi Channel State Information (CSI). This project aims to harness the detailed data from CSI, such as signal amplitude, phase, and environmental properties, to accurately locate devices inside buildings where GPS is ineffective.