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License plate readers can now track your phone too, thanks to new surveillance tech

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Why This Matters

The integration of license plate readers with device signal detection like SignalTrace marks a significant advancement in surveillance technology, enabling authorities to track individuals' movements more covertly and comprehensively. This development raises important privacy concerns for consumers, as it enhances the ability of law enforcement to monitor and analyze personal mobility patterns without explicit consent. For the tech industry, it underscores the need for careful consideration of ethical standards and data governance in deploying such powerful surveillance tools.

Key Takeaways

Imagine that you share a ride to work with the same colleague most mornings. As it passes by a license plate reader, the camera records the car, which can be linked through vehicle records to its registered owner. Beside it, another sensor detects signals broadcast by devices traveling nearby, such as your phone and your colleague's smartwatch.

After enough trips, software may treat some of those devices as a recurring electronic signature associated with the vehicle. Weeks later, one of the same device signals appears alongside a different car connected to an investigation. The signal itself may not contain its owner's name, but its previous association with a known vehicle gives investigators another clue they can use to work out who was carrying the device.

SignalTrace, a system marketed by the security company Leonardo, is designed to work alongside automatic license plate readers. The company says it can recognize groups of consumer devices that regularly move together, then associate them with license plate records and time-stamped locations. The pattern can then be searched even when a police investigator does not know the plate number.

Editor's Note:

Guest author Nicole M. Bennett is a Ph.D. candidate in Geography and Assistant Director at the Center for Refugee Studies at Indiana University. She is a researcher studying the intersection of migration, data governance and digital technologies, with a focus on how AI and algorithmic systems reshape global mobility and humanitarian response. This article is republished from The Conversation under a Creative Commons license.

I am a researcher who studies the intersection of data governance, digital technologies and governments, including surveillance technologies. I see that SignalTrace could further shift how police conduct investigations, putting emphasis on people's movements and associations before their identities are known.

SignalTrace is a tested and marketed capability, but not yet an established police practice. One report indicates that several of the devices are installed in Oxon Hill, Maryland, and the company's predecessor technology appears on an official New York state contract price list.

A narrow definition of identification

Leonardo's new explanatory sheet states that SignalTrace "does not identify people." It says the system "only collects electronic signatures" from signals already being broadcast, such as Bluetooth or radio frequency identification tags. Those signatures, by themselves, do not disclose a person's identity. The company says the output must be corroborated through ordinary investigative methods.

That description relies on a narrow meaning of identity, however. A sensor may not pull a legal name from a phone, but police could still work out who likely owns the device by linking its signal to other records. For example, the same signal might repeatedly appear with a car registered to one person, outside that person's home, or alongside another device already connected to a known subject. That means a person could become part of an investigation because of where their device repeatedly appeared and who it appeared near, even if the police had no reason to suspect that person at the outset.

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