Flock AI Surveillance Architecture & Corridor Explorer WIRED INVESTIGATION AUDIT

Interactive simulation of municipal multi-attribute computer vision tracking & trajectory reconstruction beyond ALPR
Investigative Presets
Vehicle Attribute Filters
Live CV Bounding-Box Telemetry
Detected: Silver SUV | Confidence: 94.2% | Bumper Flaw: YES | Roof Box: YES
Municipal Corridor Grid & Sensor Cones AI ATTRIBUTE CORRELATION
Matched Nodes
3 / 5
Path Confidence
0.94
Reconstructed Transit
18.2 min
Query Entropy
14.8 bits
Sensor Log Crossings & Timestamps
Policy & Civil Liberties Audit
Legacy ALPR Capability: Failed (Plate Masked)
Continuous AI Identification: Positive Vehicle Fingerprint
Unique Attributes Isolated: 6 features
False Positive Risk: 0.42% (Low Corridor Ambiguity)
Surveillance Risk Index
Omnipresence Trajectory Score: 88 / 100

Continuous vehicle attribute extraction allows retrospective reconstruction of movement history across 100% of corridor nodes without warrants or plate matches.

Corridor Node Specifications
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