Investigation: for two years, New Orleans police secretly scanned city streets using 200+ facial recognition cameras, seemingly violating a 2022 city ordinance
www.washingtonpost.com/business/ 202... Important investigative work by @douglasmac.bsky.social & @aaronschaffer.com: Mary Branscombe / @marypcbuk : “every minute of every hour of every day” [embedded post] Albert Fox Cahn / @foxcahn : We went full black mirror. Tracking anyone, anywhere, at any time using their face is simply incompatible with democracy. Terrified to think how cops will weaponize this against protesters, religious groups, and anyone else law enforcement wants to target. www.washingtonpost.com/business/ 202... @washingtonpost.com : Exclusive: Police are increasingly using facial recognition software across the country. An investigation by The Post has found that New Orleans police took this technology a step further, potentially violating municipal guardrails. Drew Harwell / @drewharwell.com : New Orleans police used secret network of 200 facial recognition cameras to scan people on public streets and ping nearby cops. The “technology nightmare scenario that we have been worried about” www.washingtonpost.com/business/ 202... @douglasmac.bsky.social @aaronschaffer.com @hypervisible : “For two years, New Orleans police secretly relied on facial recognition technology to scan city streets in search of suspects, a surveillance method without a known precedent in any major American city that may violate municipal guardrails around use of the technology...” Forums: Hacker News : The body of the article goes here. r/technology : New Orleans called out for sketchiest use of facial recognition yet in the US | Facial recognition cameras ping cops when suspects appear, sparking backlash. r/NewOrleans : Police secretly monitored New Orleans with facial recognition cameras r/Bad_Cop_No_Donut : Police secretly monitored New Orleans with facial recognition cameras Ars OpenForum : Cops pause use of flawed AI cameras secretly monitoring streets for suspects
Context & Ripple Effects
The reported deployment turns a local facial-recognition restriction into a test of whether municipal AI rules can constrain operational police systems. It also extends earlier coverage of AI-enabled city camera networks that feed police from access to video toward automated identification and real-time officer notification.
The case lands amid evidence that facial-recognition outputs can become decisive in police action: a January investigation found departments making arrests after facial-recognition identifications without other evidence. That makes the controls around live alerts—not just the existence of cameras—the central governance issue.
First-order effects
- New Orleans police and city officials face immediate scrutiny over whether the system complied with the 2022 ordinance, including how the camera network, matching process, and officer alerts were authorized and overseen.
- People moving through covered public streets were subject to continuous biometric matching, while nearby officers could receive real-time notifications of potential matches.
Second-order effects
- Any review could force police to document or change the workflow for using facial-recognition matches, particularly the standards for acting on an automated alert and retaining related data.
- Other departments operating camera networks will face sharper questions about whether local limits cover indirect or operational uses—a concern raised by cross-jurisdiction facial-recognition searches that can bypass local rules.
Third-order effects
- If local restrictions can be sidestepped through opaque deployments, public-safety AI governance will increasingly hinge on auditability, procurement disclosure, and enforceable oversight rather than policy language alone.
- The combination of broad camera coverage and live biometric alerts points toward surveillance systems whose practical impact depends on how tightly identification outputs are limited before they shape police encounters.
The trend: This is one instance of the shift from isolated facial-recognition searches to integrated, real-time public-space surveillance—and the resulting pressure for enforceable local AI controls.