The FBI is seeking contracts to obtain nationwide, near-real-time access to data from automated license-plate readers (ALPRs) [1].
This move represents a significant expansion of federal surveillance capabilities. By tapping into existing local law-enforcement camera networks, the bureau aims to track vehicle locations across state lines with minimal delay.
To fund the effort, the FBI is seeking $36 million [3]. The agency said that the capability would improve investigative speed and national-security operations by providing timely vehicle-location data [1].
“Our goal is to obtain near-real-time license-plate data so we can stop crimes faster and protect the American public,” said Deputy Assistant Director for Technology James Miller [1].
Critics argue the system creates a permanent digital trail of citizen movement. Some reports indicate the national ALPR database could contain 30 billion records [4].
“This request expands federal surveillance beyond any precedent and raises serious privacy concerns,” said Sherry Stein, senior counsel at the Electronic Frontier Foundation [2].
Legislative pushback has already begun. Rep. Maria Gonzalez (D-CA) addressed the House Judiciary Committee regarding the need for oversight [4].
“We must ensure robust oversight and safeguards before any nationwide ALPR system is deployed,” Gonzalez said [4].
While the FBI promotes the tool as a necessity for public safety, some reports suggest a bipartisan push is underway to oppose the federal expansion of license-plate tracking [4].
““Our goal is to obtain near-real-time license-plate data so we can stop crimes faster and protect the American public,””
The FBI's proposal shifts ALPR technology from a localized tool used for specific crimes to a centralized federal surveillance net. If implemented, it would allow the federal government to bypass the fragmented nature of local police databases, potentially creating a real-time map of vehicle movements across the U.S. without requiring individual warrants for every local jurisdiction involved.




