Flock Safety wanted to convert hundreds of thousands of Uber drivers into a rolling license-plate scanning network, according to a report from Decrypt. The company reportedly aimed to recruit about 350,000 drivers, using their vehicles to capture plate data as they moved through cities and highways.
Flock Safety builds camera systems that read license plates and feed the data to law enforcement and private clients. Its cameras are typically fixed to poles or mounted at intersections. Attaching similar technology to a moving fleet of ride-share vehicles would represent a significant expansion of its data-collection reach.
The scale of the proposal stands out. A fleet of 350,000 drivers operating across the United States could generate plate data covering a vast share of daily traffic. That volume would dwarf what fixed camera networks currently produce in most cities.
Decrypt's report does not detail whether Uber agreed to the arrangement, rejected it, or is still weighing it. It also does not specify a timeline for rollout or which markets Flock Safety targeted first. Those gaps leave open questions about how far the plan progressed before becoming public.
License-plate recognition technology has drawn scrutiny from privacy advocates for years. Critics argue that widespread scanning, especially from moving vehicles, could allow far more detailed tracking of individual movement patterns than static cameras. Law enforcement agencies have used plate data from companies like Flock Safety in investigations, which has fueled debate over retention policies and access rules.
Uber drivers operate as independent contractors, a structure that complicates any effort to mandate participation in a hardware program. Any deal would likely require driver consent, compensation, or both, though none of those terms were specified in the report. The proposal, as described, would mark one of the largest attempts yet to fold gig-economy vehicles into commercial surveillance infrastructure.
Market Impact
For companies in the plate-recognition and physical-security sector, a partnership of this scale could signal a shift toward mobile, driver-based data collection rather than fixed camera installations. That could open new revenue models for ride-share platforms willing to lease vehicle access for data purposes.
At the same time, the proposal is likely to draw attention from privacy regulators and civil liberties groups, given the volume of location data involved. Any confirmed deal between Flock Safety and Uber would likely intensify calls for clearer rules on how plate data is collected, stored, and shared with third parties, including law enforcement.
The scope of Flock Safety's reported proposal underscores how gig-economy fleets could become infrastructure for large-scale data collection. Further reporting will likely clarify whether Uber engaged with the plan and what, if any, safeguards were discussed.
Frequently Asked Questions
What is Flock Safety?
Flock Safety is a company that makes license-plate recognition cameras, typically used by law enforcement and private clients for surveillance and security purposes.
How would Uber drivers have been involved?
According to the report, Flock Safety wanted to equip roughly 350,000 Uber drivers' vehicles with plate-scanning technology, turning their daily routes into a mobile data-collection network.
Has Uber confirmed or denied the plan?
The report does not detail Uber's response, so it remains unclear whether the company agreed to, rejected, or is still evaluating the proposal.
Why does this raise privacy concerns?
A fleet of that size scanning plates while driving could collect far more detailed location data on the public than fixed cameras, raising questions about data retention and access.