# SignalTrace Technology Links License Plate Readers to Personal Electronic Device Signatures New surveillance systems correlate vehicle data with mobile device signals to track movements. - **Source:** [SlashGear](https://www.slashgear.com) - **Published:** 2026-10-19 - **Topic:** [Software & Engineering](https://brifing.si/c/engineering) - **Original article:** - **On Brifing:** https://brifing.si/s/f6d2e8b6-36ad-4c24-9749-908d9bc22a9c ## Surveillance Evolution Beyond Plates License plate readers are expanding their capabilities through integration with SignalTrace technology. Developed by Leonardo, this system captures electronic signals from smartphones, smartwatches, and fitness trackers. By correlating these signals with vehicle license plate data, the system creates a comprehensive movement profile, moving beyond simple optical character recognition to track individual electronic signatures. ## Defining the Electronic Signature The system identifies unique combinations of devices, such as specific phone models, headphones, and wearables, to establish an electronic signature. Leonardo claims this process does not decrypt device contents or communications. Instead, it uses timestamps and location data to determine which devices consistently travel together, effectively linking specific hardware to a vehicle. ## Law Enforcement Data Control Leonardo maintains that all collected data belongs exclusively to the law enforcement agencies utilizing the scanners. The company asserts it will never access this information directly. Once an electronic signature is established, the data remains stored until an investigator initiates a specific query, potentially providing leads when signatures appear near crime scenes. ## Privacy Concerns and Skepticism Public skepticism regarding data collection remains high, especially given the estimated presence of over 100,000 Flock cameras currently in use across the U.S. The introduction of SignalTrace intensifies these privacy concerns. Critics question the ethical implications of passive data harvesting, noting that citizens are often unaware of the extent of their digital footprint. ## Identification Through Movement Patterns Research from Scientific Reports highlights the vulnerability of location data, revealing that just four time-and-place points can uniquely identify 95% of individuals. This study, covering 1.5 million people over 15 months, underscores how easily movement patterns can single out a person, raising significant alarms about the precision of modern surveillance tracking technologies. ## Risk of Misidentification A critical flaw in the SignalTrace system is its inability to confirm the actual identity of the person carrying the device. Devices can be borrowed, stolen, or left in another person's vehicle, leading to potential misidentification. This creates a significant risk of linking innocent individuals to criminal investigations based solely on device proximity. ## Operational Responsibility Challenges Police departments face the challenge of using electronic signature patterns responsibly. Because the system cannot verify who is physically operating a vehicle, investigators must develop rigorous protocols to avoid false leads. The reliance on algorithmic associations requires careful oversight to ensure that digital signatures are not treated as definitive proof of presence. ## Future of Digital Surveillance The integration of signal tracking with existing license plate readers marks a shift toward more invasive monitoring techniques. As law enforcement agencies adopt these tools, the balance between investigative utility and individual privacy will remain a central point of contention. Future policy must address how these digital signatures are managed and validated. ## Sources covering this story - https://www.slashgear.com/2284052/license-plate-readers-tracking-phone-tech-coming-soon/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._