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- New device_identity.py: Clusters BLE/WiFi observations into probable physical devices using passive fingerprinting (not MAC addresses) - Fingerprinting based on manufacturer data, service UUIDs, capabilities, timing patterns, and RSSI trajectories - Session tracking with automatic gap detection - Risk indicators: stable RSSI, MAC rotation, ESP32 chipsets, audio-capable - Full audit trail for all clustering decisions - New ble_scanner.py: Cross-platform BLE scanning with bleak library - Detects AirTags, Tile, SmartTags, ESP32 by manufacturer ID - Fallback to system tools (btmgmt, hcitool, system_profiler) - Added API endpoints for device identity clustering (/tscm/identity/*) - Updated setup.sh with bleak dependency - Updated documentation with TSCM features and hardware requirements Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
379 B
379 B