This City Built a 500-Camera AI Tracking Network

Our Take

San Jose didn't just add a few cameras to a few troubled intersections — it built a city-wide net of nearly 500 ALPRs that logs the comings and goings of everyone who drives, regardless of whether they've done anything wrong. The Institute for Justice's video lays out exactly why that distinction matters: this isn't a tool aimed at a suspect, it's a permanent record of a population's movement, sitting in a database that officers can query without a warrant. Tony Tan and his co-plaintiffs are right to call that what it is — mass surveillance dressed up as traffic safety.

This is the pattern we've tracked for years. Flock-style networks get sold to city councils as a narrow crime-fighting tool, then quietly scale into infrastructure that can reconstruct anyone's daily routine — where they worship, who they visit, when they leave town. Once that data exists in a cloud database, it doesn't stay narrowly used; it gets shared across agencies, retained far longer than necessary, and searched with little oversight. A federal class action challenging that setup is a meaningful test case, and the outcome could ripple far beyond San Jose.

Credit to the Institute for Justice for putting a human face — and a legal strategy — on a fight that's often reduced to abstract privacy debates. If you want to see how many of these cameras are already running near you, check our camera map, and if you're ready to push back locally, our take-action resources can help you get started.