Efficient IoT Devices/AP Localization Through Wi-Fi CSI Feature Fusion and Anomaly Detection

this repository is simulation based on Manikanta Kotaru's two paper: 1."SpotFi: Decimeter Level Localization Using WiFi", SIGCOMM. London,United Kingdom, 2015 2."Position Tracking for Virtual RealityUsing CommodityWiFi," IEEE. Trans. Stanford University. US, CVPR,2017 by using simulation data and experimental data

📌 An interdisciplinary team project of the course Software Lab at Technical University of Munich (TUM), aiming to map WiFi signals to increase localization accuracy with embedded IoT device ESP32 by tracking the position of nearby WiFi enabled devices

A research project using ESP32 WiFi Channel State Information (CSI) to detect human presence, movement, and behavior through walls. Includes RF signal processing, amplitude/phase extraction, ML-based activity recognition, and device-free localization using low-cost IoT hardware.

Web application for a python & IOT-based indoor WIFI localization approach

Mounted LiDAR on a 360-degree rotating structure is facilitated by a Servo mechanism to map points on the spherical coordinate system. Obtained 3D map is used to localize points of interest and upload their coordinates to Cloud via WIFI, using IOT terminologies.