TraceBLE — Indoor Localization with BLE

Indoor-positioning system that ingests BLE scans, smooths RSSI values, estimates positions, and exposes a lightweight Flask dashboard for monitoring tracked devices.

Highlights

• BLE scanning with smoothing, filtering, and calibration routines for reliable RSSI.
• Data collection pipeline for repeatable indoor tests and quick parameter tweaks.
• Flask dashboard for real-time location estimates and device status.

Approach

• Signal handling: Rolling average and outlier rejection on RSSI to reduce noise; configurable window sizes per device class.
• Localization: Basic triangulation heuristics with room-aware constraints; optional particle-style smoothing for stability.
• Backend: Python services with logging and health checks; CSV/JSON exports for offline analysis.
• Interface: Minimal dashboard for live device view and quick tuning of smoothing factors.

Artifacts

• Code and scripts: github.com/ememchijioke/traceble-indoor-localization
• Sample datasets and notebooks for replay and validation.