Add comprehensive BLE tracker detection with signature engine

Implement reliable tracker detection for AirTag, Tile, Samsung SmartTag,
and other BLE trackers based on manufacturer data patterns, service UUIDs,
and advertising payload analysis.

Key changes:
- Add TrackerSignatureEngine with signatures for major tracker brands
- Device fingerprinting to track devices across MAC randomization
- Suspicious presence heuristics (persistence, following patterns)
- New API endpoints: /api/bluetooth/trackers, /diagnostics
- UI updates with tracker badges, confidence, and evidence display
- TSCM integration updated to use v2 tracker detection data
- Unit tests and smoke test scripts for validation

Detection is heuristic-based with confidence scoring (high/medium/low)
and evidence transparency. Backwards compatible with existing APIs.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

utils/bluetooth/__init__.py

@@ -36,6 +36,15 @@ from .heuristics import HeuristicsEngine, evaluate_device_heuristics, evaluate_a
 from .models import BTDeviceAggregate, BTObservation, ScanStatus, SystemCapabilities
 from .ring_buffer import RingBuffer, get_ring_buffer, reset_ring_buffer
 from .scanner import BluetoothScanner, get_bluetooth_scanner, reset_bluetooth_scanner
+from .tracker_signatures import (
+    TrackerSignatureEngine,
+    TrackerDetectionResult,
+    TrackerType,
+    TrackerConfidence,
+    DeviceFingerprint,
+    detect_tracker,
+    get_tracker_engine,
+)
 
 __all__ = [
     # Main scanner
@@ -100,4 +109,13 @@ __all__ = [
     'ADDRESS_TYPE_RANDOM_STATIC',
     'ADDRESS_TYPE_RPA',
     'ADDRESS_TYPE_NRPA',
+
+    # Tracker detection
+    'TrackerSignatureEngine',
+    'TrackerDetectionResult',
+    'TrackerType',
+    'TrackerConfidence',
+    'DeviceFingerprint',
+    'detect_tracker',
+    'get_tracker_engine',
 ]