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PALM BAY, FL (The Palm Bayer) — When Florida Governor Ron DeSantis recently addressed the sudden explosion of automated license plate reader (ALPR) cameras across the state, he did not mince words. He called the technology “out of control” and warned that Florida must not become a “surveillance state.”
Then he pointed directly north:
“If you look at New Hampshire, they ban the installation of these cameras along public roads. That could be a model for Florida.”
For most Floridians, that reference sounded like an obscure legal footnote. What does New Hampshire have to do with Florida? Why would a conservative governor pointing to public safety concerns look to a small New England state to solve a roadside technology debate?
The answer is simple: New Hampshire established a clear statutory balance that Florida currently lacks.
They figured out how to give law enforcement the live tactical hotlist tools needed to intercept violent felons and recover stolen vehicles in real time, while legally barring government agencies from building a permanent, warrantless tracking net around innocent citizens.
To understand why Florida needs this model, you first have to understand the machine currently operating on your street corners.
The Movie of Your Life, One Frame at a Time
The private surveillance industry relies heavily on an outdated legal defense: “You’re driving on a public road, so you have no expectation of privacy.”
That doctrine originated in an era of human police officers visually observing vehicles moving from point A to point B. Applying that 1980s visual standard to modern digital networks collapses under basic common sense.
There is an enormous constitutional difference between an officer observing a car pass through an intersection, and an automated network photographing, indexing, date-stamping, and storing the location of every passing driver 24 hours a day in a commercial cloud.
Consider an ordinary Tuesday for an average Florida resident:
09:01 AM: You park outside First Baptist Church for morning prayer or community service.
01:15 PM: You pull into a regional medical center for an oncologist consultation, pain clinic appointment, or mental health counseling.
02:30 PM: You spend an hour at Oak Creek Gun Range practicing marksmanship.
05:15 PM: You stop at the local grocery market before heading home.
A single camera snapshot tells nobody anything of consequence.
Stitch those four snapshots together, however, and you no longer have a simple traffic record. You have an intimate personal dossier revealing an individual’s religious faith, medical conditions, lawful firearms ownership, and daily personal routines.
In constitutional law, this is known as the Mosaic Theory. The Supreme Court applied this doctrine to long-term digital location harvesting in United States v. Jones (2012) and Carpenter v. United States (2018): when the government or its corporate vendors assemble thousands of automated data points over time, the resulting picture creates a comprehensive window into a citizen’s private life.
Under Florida’s existing framework, venture-backed companies like Flock Safety place solar-powered camera poles at neighborhood exits, major thoroughfares, and commercial plazas. Historically, contracts defaulted to a 30-day cloud retention window for every passing vehicle (with the vendor recently recommending seven days amid mounting public scrutiny).
If you drive past those cameras every morning, they are filming the movie of your life, one frame at a time, without a warrant, without probable cause, and without your consent.
The “Safety” Fallacy: Reactive Logs vs. Predictive AI
Whenever citizens raise concerns about this dragnet, vendors and local officials default to a comforting slogan: “Flock keeps you safe.”
Look closely at that claim, because it obscures a fundamental operational reality.
Ask yourself a simple question: Is this system reactive, or is it proactive?
Point 1: If It Is Reactive, It Does Not Stop Crime
A camera mounted to a metal pole cannot stop a violent assault, an armed robbery, a carjacking, or a hit-and-run before it occurs. The camera merely sits there.
If a crime takes place, detectives search the database hours or days later to see what vehicles traveled nearby. That is a post-crime investigative tool. It is valuable after the fact, but it did nothing to prevent the victimization. The citizen was not “kept safe.”
Real deterrence and prevention come from visible, sworn law enforcement officers patrolling streets in marked cruisers, not passive camera boxes recording the innocent public.
Point 2: If It Claims Proactivity, It Relies on Dangerous Algorithms
To argue that automated cameras actively prevent crime, vendors market predictive software.
This is where private surveillance ventures cross a dangerous line. Flock markets algorithmic features like “Vehicle Fingerprint” (searching for bumper stickers, roof racks, and body damage) and “Convoy Tracking” (software guessing whether two cars traveling near each other are associated in criminal activity).
When software algorithms attempt to guess who is “suspicious,” innocent people pay the price.
Because an automated ALPR alert is treated by dispatch as a high-risk felony in progress, officers routinely respond with weapons drawn. Across the country, algorithmic character misreads and database errors have led to terrifying encounters:
In Aurora, Colorado (August 2020), police officers held Brittney Gilliam and four young girls (ages 6, 12, 14, and 17) on the hot pavement at gunpoint in handcuffs. An automated intersection reader flagged her Colorado SUV because the plate characters matched a stolen motorcycle from Montana. The system failed to verify the vehicle class or issuing state, and officers initiated a high-risk felony stop without manual verification.
In San Francisco, California (Green v. City and County of San Francisco), Denise Green was surrounded by multiple patrol units, forced out of her vehicle at gunpoint, and ordered onto her knees after a mobile plate scanner misread a single character, mistaking
5SOW350for5SOW750.In other jurisdictions, innocent motorists have been detained at gunpoint due to rental car agencies failing to timely purge recovered-theft records from state and national hotlists.
In Florida, internal database misuse has repeatedly surfaced: former Brevard County Deputy of the Year Michael Fultz resigned after using the Flock system to track an ex-girlfriend’s vehicle. In Palm Bay, retired Deputy Chief Lance Fisher (the very official who signed the city’s original 2021 Flock agreement) testified on the public record on May 21, 2026, that the department ran a two-week targeted surveillance operation against resident Thomas Rebman after he was outspoken against the school board and city council.
When an AI hallucinates in a corporate office, you get bad text. When an algorithm misreads a license plate on a Florida road, an innocent family stares down the barrel of a firearm.
The Solution: The Four Pillars of the New Hampshire Framework
This brings us back to Governor DeSantis’s reference. What makes New Hampshire’s statutory structure the model for Florida reform?
New Hampshire did not ban license plate readers for active law enforcement. Instead, through the legal intersection of RSA 261:75-b (ALPR standards) and RSA 236:130 (highway surveillance restrictions), they established four common-sense statutory guardrails:
Pillar 1: Patrol Cruiser Focus (No Stationary Roadside Poles)
Under New Hampshire RSA 236:130, state and municipal governments are prohibited from placing surveillance devices along public ways. Combined with strict ALPR operating limits under RSA 261:75-b, plate readers are utilized primarily on mobile law enforcement patrol vehicles.
This prevents government agencies from constructing fixed digital checkpoint grids across public roads and municipal rights-of-way.
Pillar 2: The 3-Minute Hard Purge
This is the operational core of the statute.
Under RSA 261:75-b(VIII), when a plate is scanned, it is checked instantly against active law enforcement hotlists: NCIC/FCIC stolen vehicle reports, active Amber Alerts, and felony warrants.
If there is a match, the system alerts the officer, and records linked to an arrest, citation, or active investigation are preserved for court.
If there is no match, the record, image, and timestamp must be permanently destroyed within three minutes in such a manner that they are non-recoverable.
No 30-day retention. No historical pattern-of-life logging. If you are an innocent driver, your travel data is discarded before you reach the next intersection.
Pillar 3: Prohibition on Occupant and Cabin Scanning
Under RSA 261:75-b(I), systems are legally prohibited from photographing, recording, or producing images of vehicle occupants. The tool is restricted strictly to vehicle exteriors and registration tags, eliminating the creeping threat of automated facial recognition.
Pillar 4: Restricting Government Data Hoarding
Public safety data belongs to the justice system, subject to public records laws, judicial warrants, and chain-of-custody rules. New Hampshire law bars law enforcement from uploading civilian travel streams into private third-party databases or commercial data-sharing pools.
The Honest Tradeoff: Real-Time Policing vs. Historical Dragnet
Opponents of reform argue that strict retention limits tie the hands of police officers. To have an honest civic debate, we must clearly state what changes under the New Hampshire model:
What Law Enforcement Keeps (Real-Time Interception):
Stolen Vehicle Interception: A patrol cruiser scans a plate on State Road 520. The system matches an active stolen vehicle report from Orlando. The officer visually confirms the tag and vehicle make, then conducts a stop. Result: Stolen vehicle recovered, suspect apprehended.
Amber Alerts: An abducted child’s vehicle description is broadcast statewide. A patrol unit scans the plate on I-95. The alert triggers instantly. Result: Child rescued in real time.
Felony Warrants: An active warrant triggers an immediate alert on a mobile unit. Result: Wanted fugitive taken into custody.
What Law Enforcement Gives Up (The Historical Dragnet):
Retrospective “Unknown Vehicle” Queries: Under a 3-minute purge, detectives cannot query the database days after a crime to ask: “Show me every vehicle that drove past this intersection between 2:00 AM and 4:00 AM on Tuesday.”
That is the trade.
Law enforcement leaders rightly point out that retrospective searches have aided major investigations, such as identifying suspect vehicles in homicide or hit-and-run cases.
The constitutional question, however, is whether solving occasional crimes after the fact justifies maintaining a permanent, warrantless log of millions of law-abiding drivers. In a free society, the Fourth Amendment answers that question: we do not pre-emptively treat 99.9 percent of innocent motorists as suspects just in case someone commits a crime later.
The Business Model Problem
If the New Hampshire model preserves real-time law enforcement while protecting civilian privacy, why do private surveillance vendors fight it so aggressively?
Because the 3-minute purge dismantles their subscription business model.
Flock Safety does not generate venture-scale profits merely by selling optical hardware. It generates recurring revenue by operating a Software-as-a-Service (SaaS) cloud platform. Their commercial valuation depends on data persistence: maintaining massive databases, cross-jurisdictional network sharing, and selling algorithmic search capabilities across regional grids.
When a state mandates that non-criminal data be purged in 180 seconds, the cloud-hoarding SaaS model becomes commercially unviable. The technology is forced to revert to what it was always supposed to be: a simple, local, tactical tool operated directly by sworn officers on patrol.
The Path Forward for Florida
The momentum for reform in Florida is already underway, but the legal landscape remains fragmented.
State agencies originally funded local ALPR expansions through law enforcement grants. However, following growing public pushback and reports of database misuse, Governor DeSantis directed the Florida Department of Transportation (FDOT) to act. On August 31, 2026, FDOT issued an executive directive revoking ALPR permits across the entire State Highway System, ordering local agencies to remove roadside cameras within 30 days.
In response, Putnam and Liberty counties cancelled their Flock contracts outright, while Brevard County Sheriff Wayne Ivey paused his office’s camera network. Other agencies, including Clay County, began pulling hardware from state thoroughfares to comply. Meanwhile, in Palm Bay, the city’s 51-camera network was temporarily hooded on August 7 over engineering permitting issues, restored on August 24 after staff reviews, and remains active on municipal streets as the City Council prepares for a binding contract termination vote.
Residents looking to address the council on surveillance contracts and municipal rights-of-way can review our civic guide on how to submit public comments for the official record.
The FDOT directive only reaches state-controlled rights-of-way. It leaves thousands of cameras operating on municipal roads, county streets, and private commercial properties.
Florida prides itself on being the freest state in the nation. We have banned central bank digital currencies, outlawed digital vaccine passports, and enacted a Digital Bill of Rights to protect personal data online. Allowing private corporations to maintain an automated tracking grid across our roadways contradicts that foundational principle.
When Governor DeSantis pointed to New Hampshire, he identified the blueprint. As Florida House leaders prepare statutory language for the 2027 legislative session, the mandate is clear: restrict public ALPR use to mobile patrol cruisers, enforce the 3-minute hard purge for innocent drivers, dismantle the government roadside grid, and starve the vendor cloud.
We do not have to choose between supporting our law enforcement officers and protecting our constitutional liberties.
The New Hampshire standard proves we can do both.
Sources
Supreme Court of the United States: United States v. Jones, 565 U.S. 400 (2012)
Supreme Court of the United States: Carpenter v. United States, 138 S. Ct. 2206 (2018)
Palm Bay City Council: Sworn Public Testimony of Lance Fisher (May 21, 2026)
United States Court of Appeals for the Ninth Circuit: Green v. City and County of San Francisco, 751 F.3d 1039 (9th Cir. 2014)
Brevard County Sheriff’s Office: Internal Affairs Record & Resignation of Michael Fultz (2025-2026)
