Back

SignalTrace Surveillance System Links Wireless Signals to Vehicles

At a glance

  • SignalTrace detects wireless signals such as Bluetooth and Wi-Fi.
  • The system can associate electronic fingerprints with vehicles.
  • Leonardo rebranded EOC Plus as SignalTrace in August 2026.

SignalTrace, a surveillance technology developed by Leonardo, is designed to identify and correlate wireless device signals with vehicle license plate data. The system is positioned to support investigations where traditional vehicle identification methods may be limited.

SignalTrace operates by passively detecting a range of publicly broadcast wireless signals, including Bluetooth, Wi-Fi, and RFID. The technology can function alongside automatic license plate readers or as a standalone system in various locations such as subways, shopping centers, and off-road areas.

The system creates electronic fingerprints by recognizing recurring groups of devices that travel together. These electronic fingerprints can then be linked with license plate data, enabling investigators to associate specific devices with particular vehicles even when license plates are not visible or have been altered.

Leonardo’s product documentation lists several types of detectable devices, such as mobile phones, wearable technology, RFID tags, vehicle components, pet microchips, and tire pressure sensors. This broad detection capability allows the system to capture a wide array of wireless emissions in monitored environments.

What the numbers show

  • Leonardo rebranded EOC Plus as SignalTrace in August 2026.
  • The product sheet was last updated on September 25, 2025.
  • SignalTrace can detect multiple device types, including phones, wearables, and RFID tags.

According to Leonardo, SignalTrace does not decrypt, access, or read the contents of personal devices. The company states that the technology does not retrieve stored information or intercept communications from detected devices.

Independent reports indicate that while SignalTrace does not directly identify individuals, repeated correlation of electronic signatures with license plate and location data can allow investigators to infer potential associations between devices and people. This process relies on the recurring presence of the same devices in proximity to specific vehicles over time.

The technology is marketed for use in environments where vehicle identification may be challenging, such as when license plates are obscured or removed. SignalTrace’s ability to link electronic fingerprints with vehicles is intended to provide investigative support in these circumstances.

Leonardo’s marketing materials highlight the flexibility of SignalTrace, noting its compatibility with existing license plate reader systems as well as its standalone capabilities. The system is promoted for use in a variety of operational settings to enhance situational awareness through electronic signature detection.

* This article is based on publicly available information at the time of writing.

Related Articles

  1. Researchers at the University of Minnesota created SpudCell, a synthetic system that completes a full cell cycle using non-living chemical components.

  2. Recent advancements in crane safety include AI and real-time monitoring to improve operations and reduce hazards, according to reports.

  3. A report indicates that only a fraction of the 120 million metric tons of textile waste is managed by recycling systems, according to published data.

  4. MLB has approved the Automated Ball-Strike Challenge System for the 2026 season, allowing players to challenge calls by tapping their helmets.

  5. The UT System and NASA formalized a partnership in January 2026 to enhance space research and workforce development across Texas institutions.

More on Science

  1. Global temperatures hit a record high in 2024, with U.S. households facing $900 in annual climate-related costs, according to recent data.

  2. The White House proposed an amendment on September 10, 2026, to limit the use of the RCP8.5 climate scenario in federal decision-making.

  3. A statement outlines an AI-generated approach to solving the Navier-Stokes problem, according to reports. Verification involves formal proof.

  4. The researcher passed away at age 90 on August 24, 2026, in a hospital located in Yokohama, according to local reports.