Flock-style ALPR systems carry serious privacy and civil-liberties risks, and the backlash is now starting to show up in agency decisions too.
For those not yet familiar with Flock, Flock Safety operates an automated license plate recognition (ALPR) system that uses cameras and computer vision to identify and log vehicle license plates.
According to ACLU.org, in the US there are currently:
“80,000–100,000 Flock cameras in both urban and rural areas on highways, in neighborhoods, and outside your local hardware store.”
Automated license plate readers were sold as a crime-fighting tool, but growing evidence suggests the privacy and accountability problems surrounding Flock are becoming increasingly difficult to dismiss. A growing number of incidents now show the same pattern: broad surveillance, shaky oversight, and enough operational risk to create real harm for ordinary people.
ALPR systems create durable location records about people who are not suspected of anything. Every scan can become part of a searchable trail, and once that data is collected, the risks expand through misuse, unauthorized sharing, vendor practices, and simple errors.
Abuse and errors
One of the most troubling aspects is how easily this technology can be misused. Straight Arrow News (SAN) reported that another police officer was charged after allegedly abusing Flock surveillance tools, adding to a growing list of cases in which officers have allegedly misused license plate reader systems for personal reasons, including stalking and monitoring ex-partners or protesters. An Institute for Justice analysis identified at least 22 cases nationwide in which officers allegedly abused ALPR to keep tabs on their romantic interests, with the bulk of those incidents happening since 2024.
That misuse problem is amplified by how widely the data can spread once it enters the system. Earlier this year, we reported that Mountain View disabled its Flock cameras after discovering that Flock had shared license plate data with hundreds of agencies, including federal entities, without permission, and that some lookup features had been activated without the city’s intent or knowledge. That kind of unauthorized sharing turns a local surveillance tool into a much broader data-exchange network with far weaker public visibility than most residents would expect.
Then there is the accuracy problem. SAN also reported that the Los Angeles Police Department (LAPD) allowed its Flock pilot contract to expire after an inspector general audit found 161 vehicles were falsely flagged as stolen over a two-month period. The audit concluded that 32.3% of the alerts it reviewed were inaccurate. When the system gets it wrong that often, the result is not just inconvenience. It can lead to unnecessary stops, detentions, and avoidable confrontations with law enforcement.
As the audit by the department’s inspector general stated:
“When a license plate matches with a vehicle of interest on a Hot List, an alert will appear on the police vehicle’s Mobile Digital Computer. Often, officers will approach the vehicle with extreme caution or conduct a ‘high-risk’ stop. This involves calling for back up, air support and a supervisor and ordering the suspect out of their vehicle.”
What makes this notable is that the criticism is no longer limited to privacy advocates and researchers. Some agencies are now acting on the concerns themselves, whether by ending contracts, disabling camera networks, or pausing renewals until privacy and oversight rules improve.
Flock is still marketed as a public-safety tool, but the latest reporting shows its real-world impact is increasingly defined by privacy concerns, weak oversight, and growing institutional skepticism. That skepticism is beginning to influence agency decisions. Once law enforcement itself begins pulling back, it suggests the debate has moved well beyond criticism from privacy advocates alone.
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