
BREAKING: A Surveillance Company Called Leonardo Is Expanding Its License Plate Readers To Simultaneously Vacuum Up The Bluetooth And Wi-Fi Signals From Every Phone, AirPod, Smartwatch, And Fitness Tracker In Every Passing Car 📸
Leonardo US Cyber and Security Solutions, the American subsidiary of Leonardo, one of the world’s largest aerospace and defense conglomerates and a company that generates over $17 billion in annual revenue, has been developing and marketing a product called SignalTrace that it describes on its own website as a groundbreaking electronic signal intelligence system for law enforcement. What SignalTrace actually does is add sensors alongside existing automatic license plate readers, devices already deployed on street poles, highway overpasses, traffic lights, and police vehicles in thousands of cities and towns across the United States, that passively sweep up the Bluetooth, Wi-Fi, and RFID signals continuously broadcast by every electronic device in any passing vehicle. The system captures the unique hardware identifier, called a MAC address, broadcast by each device, links together all the devices that regularly travel in the same vehicle, and correlates that entire bundle of device identifiers to the license plate and time-stamped location data captured simultaneously by the ALPR camera. The result is what Leonardo’s own marketing materials describe as an electronic fingerprint: a unique signature for each vehicle tied not just to its plate number, but to every phone, smartwatch, AirPod, fitness tracker, and car infotainment system carried by its occupants. Leonardo received US Patent 11,941,716 B2 for this system in March 2024, and its general manager Jason Laquatra stated publicly that the future of LPR advancements is reliant on enhancing LPR datasets with additional information from various electronic devices to find the individuals police are looking for.
What makes SignalTrace qualitatively different from conventional license plate readers, and genuinely more dangerous from a civil liberties standpoint, is the specific problem it was designed to solve: it can identify and track people even when the license plate is unknown, obscured, or switched. Leonardo’s own marketing materials describe this capability explicitly, noting that even if a suspect changes or removes a license plate, SignalTrace’s algorithms can still provide actionable intelligence by identifying the unique mix of devices they carry or use. That sentence should be read carefully, because what it means in practice is that the device identifiers in your pocket, your phone’s MAC address, your watch’s Bluetooth beacon, your AirPods passively broadcasting their presence to any nearby sensor, become a more persistent identifier than your license plate because you change your plate far less often than law enforcement catches someone who has deliberately changed or stolen one. The system is also designed to work without license plate readers at every collection site, meaning sensors can be deployed in locations that don’t have cameras at all, creating a coverage network built on signal collection alone. And because multiple devices in the same vehicle are linked together into a single correlated fingerprint, identifying any one device belonging to any one occupant effectively identifies all of them simultaneously. A passenger in your car carrying their phone has now linked their device identifier to your license plate in Leonardo’s dataset, whether either of you consented to that or not.
Leonardo’s defense is the same one the license plate reader industry has used for years: the system captures device signals but does not decrypt or read the contents of devices or their communications, framing it as analogous to how a plate reader captures a number without reading the driver’s name. That framing collapses under the slightest pressure. A MAC address is a unique hardware identifier that follows a device everywhere it goes, and when it’s correlated with a license plate at a specific location and time, then correlated again at the next location and time, then again and again across a city-wide or nationwide network of sensors, the result is a precise location history of a specific person, not an anonymous vehicle. The Electronic Frontier Foundation has documented for years that ALPR data alone, stripped of any identifying information, can reveal a person’s home address, workplace, medical appointments, religious attendance, political activity, and relationship patterns simply through the accumulation of timestamped location records. SignalTrace doesn’t just replicate that capability, it extends it to everyone in the vehicle, removes the license plate as a barrier to identification, and makes the fingerprint far harder to evade. There’s no existing federal law that specifically regulates the collection of Bluetooth or Wi-Fi identifiers from public roads, no opt-out mechanism, no notification requirement, and no warrant requirement for law enforcement access to data collected passively from public spaces. What Leonardo has built is a comprehensive personal surveillance infrastructure that’s already patented, already marketed to police departments, and already operating in communities across the country with essentially no legal framework governing how the data can be used, retained, or shared.