r/deflock_CT

There was a flock representative at this meeting and his only response to John Hamilton was "his data is from a Youtuber" and "We have never been hacked"

The whole video is from the College Station Tx City Council meeting on July 23rd. We had over 20 speakers for this event so check out more in the whole video.

The systems are ordinary license-plate readers and government vehicle databases. They record plate, time, and location for every vehicle that passes; Flock’s default retention is 30 days. Ottawa Police Chief Eric Stubbs publicly described officers using the same databases to identify women seen in everyday settings. Parallel U.S. cases show officers querying Flock networks hundreds of times to track romantic partners or to generate leads that later proved false.

Data collected is limited to vehicle identifiers and metadata; no facial biometrics are involved. The structural weakness is access control: once an officer is credentialed, historical queries require little or no additional justification and leave an audit trail that is only examined after a complaint. Demonstrated cases (Ottawa disciplinary settlements, Jerome County sheriff logs, Milwaukee and other IJ-tracked incidents) show the gap is already being exploited.

ALPR networks have grown from isolated cameras to multi-agency searchable grids. The same expansion that aids crime investigation multiplies the number of officers who can run personal queries. Oversight remains largely reactive—internal affairs after a victim notices unusual contact or a tip surfaces.

Net risk is concrete for the individuals whose plates are queried without legitimate cause, and systemic for any population living under dense ALPR coverage. Realistic responses are mandatory search-log auditing, narrower access privileges, shorter retention where law allows, and public reporting of disciplinary outcomes. The technology itself is not novel; the failure mode is predictable once large volumes of location data sit behind routine officer credentials.

Source Verification

All links were fetched and content-matched in this session:

Ottawa Citizen / CTV coverage of Chief Stubbs’ video and disciplinary cases

https://ottawacitizen.com/opinion/sexual-misconduct-sex-crime

Supports Stubbs’ exact statements about officers running plates of women at coffee shops and gyms.

CBC News report on Const. Andrew Reesor

https://www.cbc.ca/news/canada/ottawa/ottawa-police-officer-accused-of-unauthorized-database-searches-into-women-colleagues-9.7181538

Supports 77 unauthorized searches, including women for “attraction.”

Institute for Justice compilation of ALPR romantic-stalking cases

https://ij.org/police-have-reportedly-used-license-plate-readers-to-stalk-romantic-interests-at-least-14-times-in-recent-years/

Supports at least 14–22 documented U.S. cases of officers using ALPRs for personal tracking.

East Idaho News / KMVT on Jerome County Sheriff George Oppedyk

https://www.eastidahonews.com/2026/04/jerome-county-sheriff-used-flock-cameras-to-search-for-wifes-vehicle-documents-show/

Supports hundreds of Flock queries of the sheriff’s wife’s plate.

Flock Safety official data-privacy and retention page

https://www.flocksafety.com/trust/data-privacy

Supports default 30-day retention, agency control of access, and automatic deletion.

I thought they claimed Florida was a "free state", it seems more like a surveillance state to me.

Small park. Big infrastructure.
During this field observation, we documented three separate AI video camera deployments within a relatively compact public park: two fixed Condor cameras covering different areas and one Condor PTZ overlooking the amphitheater.

One detail that stood out was a hardwired installation…something we don’t encounter as often compared to solar-powered deployments.

Every location is different, and we’re not drawing conclusions about why a particular configuration was chosen. Our goal is simply to document what’s publicly visible, compare it with publicly available product information, and better understand how modern public infrastructure is evolving.

Last night, the City of Costa Mesa, California, discussed whether it should keep its contract with Flock, after Costa Mesa police officer Robert Jay Josett was caught making unauthorized queries in CLETS and Flock, targeting his wife, his mistress, and his mistress’s other romantic interests.

Residents provided five hours of testimony in opposition to Flock. Costa Mesa city council voted 6-1 to keep the contract.

More at https://footnote4a.org/news/costa-mesa-regime

Good Morning!

For those of you that haven’t heard of me, my name is Andrew Rice. I am a 38 year old molecular biologist renting a home in Milford with my college friend and dog Yoshi. I am also running for Congress, challenging 35 year incumbent Rosa DeLauro in Connecticut’s Third Congressional District.

In 2024 when I renewed my drivers license I switched from being a Democrat to Unaffiliated because of my disappointment with the Party and its failure to stand up for working people.

On July 25, 2025 I confronted Rosa DeLauro for her continued funding of genocide in Palestine. Shortly thereafter I was approached about challenging her. After reviewing more of her stances and seeing that her failed leadership went beyond Palestine, I decided to mount a challenge. At the time, I believed the best way to unseat her would be to challenge her for the democratic primary. I reluctantly switched back to being a democrat.

During the process I witnessed first hand the level of corruption and rot that has engulfed the party. I knew it was bad, I failed to realize just how bad it was. After the Party broke convention rules to keep us off the ballot, and after hearing so much disdain for the party collecting signatures, it was hard to continue trying to be democrat.

But I’m tenacious and I don’t give up easily. I am moving forward. I want to continue spreading our campaign message, offer people another choice, and now hold the Democratic Party accountable for their corruption and hypocrisy.

What is the campaign message?

Healthcare
Medicare for all. To me Health Care is a right. In the wealthiest nation in the world, people should not be going bankrupt because of medical care. Rosa DeLauro does not support Medicare for All.

Education
Reducing student loan interest to 1% retroactively which would effectively cancel student loan debt for millions of borrowers who already paid off the principal and are just paying interest. We saw student loan forgives fail, so let’s be creative on how we can offer immediate relief.

Double Pell grants and expand eligibility. Higher education needs to be available to everyone who wants it. College isn’t for everyone, so Pell grants should also cover vocational training. In 1991 when Rosa took office Pell Grants covered 90% of tuition. Today it’s down to 60%.

I.D.E.A. If we fully funded this special education program, our district would bring in another $51M. There is a bill that would fully fund it. Rosa has not cosponsored it. Nor has she used her “power” as lead appropriator to increase its funding by even 1% in her 35 years.

Housing
Housing is another human right. Homelessness is a societal failure. There are already more empty homes than there are unhoused people. Homelessness is a vicious cycle that is not easily broken. It is cheaper to house people than it is to jail them. We need to end the cycle of poverty and guaranteed housing is the first step.

How do we pay for this?
We tax the billionaires and ultra millionaires, returning to a progressive tax system that existed during JFK, close tax loopholes that benefit these elites, and levy fines proportional to wealth so that laws do not disproportionately affect people with less income.

We also reduce the corporate war budget and end these forever wars oversees that have caused nothing but death and destruction for both our own brave military servicemen and women, as well as civilians of sovereign nations.

If you believe in this message, we could use your help. We need volunteers to collect signatures, door knock, phonebank, and conduct research.

We also need funding. Even $5 can help purchase campaign literature! So please donate!

Movements are not made from one person, or one team. It’s made when thousands of people stand and work together and demand better for themselves and their community.

Stand with us so we can build a better future together!

A car was stolen from a dealership. Flock wrongly identified a car that is 2000 miles away as the one that was stolen. Police are notified and track it for days, finally boxing it in at a Kohl’s parking lot.

After clearing up the situation the officer tells the driver to go straight home and keep his car at the house, warning that if he drives into another town the police there may be automatically notified and respond to a car theft.

The officer left while saying, “You’re lucky we’re in Plymouth. If you were in Minneapolis, they definitely would’ve come at you with guns drawn”

https://www.thedrive.com/news/how-flock-cameras-wrongly-tracked-me-for-days-over-stolen-plates-and-sent-police-after-me

I saw this along at Kenilworth Gardens in DC on a footpath where you can’t drive a car

It has the verdaka logo on it and I found a picture of an identical camera from that company online but I can’t find any info on what it does

Theres also one on top of the pole in the flat Motorola vehicle mount style

Law enforcement agencies deploy AI facial recognition systems that scan surveillance footage and match biometric features against vast databases. This capability identifies individuals across state lines in real time, which gives authorities new power to act on automated leads without waiting for manual review.

These tools create persistent tracking through stored facial data and cross-referencing. The result is false positives that can devastate innocent lives. An innocent person in Tennessee who was ordering Uber Eats from home got matched to a bank robbery suspect in Fargo, North Dakota. Armed officers arrested the individual and held them for three months with no option for bail despite clear alibi evidence.

Police departments adopt facial recognition for faster case handling and to manage growing camera networks. The integration is straightforward and low cost. However the matching algorithms stay hidden from scrutiny, and no required verification step exists before officers act on a match. This opacity makes it hard to catch or correct errors before they cause harm.

Once deployed the systems enable wrongful arrests that destroy lives. Innocent people lose jobs, homes and pets. They are released far from home in the wrong season with nothing. Citizens have almost no practical way to challenge these automated decisions. Organizations such as the Electronic Frontier Foundation push for stronger rules on biometric surveillance and greater accountability in policing technology.

Sources

Police surveillance and facial recognition: Why data privacy is an imperative for communities of color

https://www.brookings.edu/articles/police-surveillance-and-facial-recognition-why-data-privacy-is-an-imperative-for-communities-of-color/

This article documents wrongful arrests from erroneous facial recognition matches by law enforcement and cites NIST findings on demographic biases in the technology.

A Forensic Without the Science: Face Recognition in U.S. Criminal Investigations

https://www.law.georgetown.edu/privacy-technology-center/research/a-forensic-without-the-science-face-recognition-in-u-s-criminal-investigations/

This report details how face recognition in criminal investigations produces bias, error, and unreliable identity evidence when used without sufficient human verification.

Facial Recognition Technology (FRT) | NIST

https://www.nist.gov/speech-testimony/facial-recognition-technology-frt-0

This official NIST resource reports on accuracy gains and demographic performance differences in facial recognition algorithms applied to law enforcement identification tasks.

Facial Recognition and Privacy: Concerns and Solutions in the Age of AI

https://www.isaca.org/resources/news-and-trends/isaca-now-blog/2025/facial-recognition-and-privacy-concerns-and-solutions-in-the-age-of-ai

This analysis examines biases in AI facial recognition that lead to misidentification and wrongful arrests in policing contexts.

Acceptance of AI-powered facial recognition technology in different surveillance contexts

https://www.sciencedirect.com/science/article/abs/pii/S0160791X24002690

This peer-reviewed study analyzes privacy risks and civil liberties concerns from AI facial recognition deployment in law enforcement surveillance applications.

Cleveland councilman Brian Kazy speaking but:

"Council President Blaine Griffin and members Michael Polensek, Kevin Conwell, Kevin Bishop, Richard Starr, Brian Kazy, Charles Slife, Joe Jones and Deborah Gray voted in favor."

https://signalcleveland.org/cleveland-to-keep-flock-cameras-pause-data-center-projects/

Video by More Perfect Union