Leonardo's SignalTrace blends phone signals with license-plate data to track vehicles and people
Leonardo markets SignalTrace, a system that pairs Bluetooth and RFID signals from phones and wearables with automatic license-plate readers to create searchable movement patterns.
Leonardo's SignalTrace captures Bluetooth, RFID and other broadcast signals from consumer devices and cross-references them with automatic license-plate reader records to build electronic fingerprints of recurring vehicle-device pairings. The company asserts the tool only gathers anonymous signatures, requiring traditional investigative steps to attach names. Critics argue that linking a device to a known car or repeated proximity to other tracked devices can effectively identify owners, even without a direct name.
Pilot deployments have been reported in Oxon Hill, Maryland, and the technology is listed on a New York state procurement sheet. Federal privacy guidance defines personally identifiable information broadly, and recent Supreme Court rulings on phone-location data suggest such pattern-based surveillance may constitute a search. The debate centers on whether indirect association through SignalTrace warrants the same constitutional protections as direct location records.
Why it matters
It shows how anonymous device signals can be combined with plate data to potentially identify individuals, raising new privacy and legal concerns.
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