A new searchable online tool allows the public to discover if Flock AI license-plate surveillance cameras are installed in their cities [1].
This transparency comes as AI-powered surveillance expands rapidly across the U.S. Many vehicle owners are unaware that their movements are being tracked without their explicit consent [1], [3].
Flock AI manufactures cameras that use artificial intelligence to identify license plates and monitor vehicle movements [1], [3]. These systems are designed to assist law enforcement by flagging specific vehicles or tracking patterns across different locations. While the company positions the technology as a tool for public safety, privacy advocates raise concerns about the scale of the data collection.
There are approximately 90,000 Flock AI cameras currently installed across the United States [1]. The rollout has spanned numerous cities, creating a vast network of automated license-plate readers that can record data in real time.
The searchable tool provides a way for residents to see if these cameras are operating in their immediate vicinity [1], [2]. By using the tool, individuals can learn what specific data the cameras are tracking, and how the surveillance is integrated into their local infrastructure [1], [2].
Flock AI cameras differ from traditional CCTV by focusing specifically on vehicle identifiers [3]. The system captures the plate number and often other vehicle characteristics to create a searchable database for authorities. This allows police to search for vehicles based on color, make, or model—even if the license plate is obscured or missing [1], [3].
As more municipalities adopt this technology, the gap between surveillance capabilities and public awareness has grown. The availability of a public mapping tool represents a shift toward transparency in how AI surveillance is deployed in urban environments [1], [2].
“A new searchable online tool allows the public to discover if Flock AI license-plate surveillance cameras are installed in their cities.”
The emergence of public tracking tools for private surveillance hardware highlights a growing tension between law enforcement efficiency and Fourth Amendment privacy expectations. As AI-powered license-plate readers move from targeted checkpoints to permanent urban fixtures, the ability for citizens to map this infrastructure is a critical step in establishing local oversight and legislative boundaries for data retention.
