Tag: facial recognition

CIA and Mossad-linked Surveillance System Quietly Being Installed Throughout the US

Launched in 2016 in response to a Tel Aviv shooting and the Pulse Nightclub shooting in Orlando, Florida, Gabriel offers a suite of surveillance products for “security and safety” incidents at “so-called soft targets and communal spaces, including schools, community centers, synagogues and churches.” The company makes the lofty promise that its products “stop mass shootings.” According to a 2018 report on Gabriel published in the Jerusalem Post, there were an estimated 475,000 such “soft targets” across the U.S., meaning that “the potential market for Gabriel is huge.”

Gabriel, since its founding, has been backed by “an impressive group of leaders,” mainly “former leaders of Mossad, Shin Bet [Israel’s domestic intelligence agency], FBI and CIA.” In recent years, even more former leaders of Israeli and American intelligence agencies have found their way onto Gabriel’s advisory board and have promoted the company’s products.

While the adoption of its surveillance technology was slower than expected in the United States, that dramatically changed last year, when an “anonymous philanthropist” gave the company $1 million to begin installing its products throughout schools, houses of worship and community centers throughout the country. That same “philanthropist” has promised to recruit others to match his donation, with the ultimate goal of installing Gabriel’s system in “every single synagogue, school and campus community in the country.”

With this CIA, FBI and Mossad-backed system now being installed throughout the United States for “free,” it is worth taking a critical look at Gabriel and its products, particularly the company’s future vision for its surveillance system. Perhaps unsurprisingly, much of the company’s future vision coincides with the vision of the intelligence agencies backing it – pre-crime, robotic policing and biometric surveillance.

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Sequins, feathers… and a groundbreaking arrest using facial recognition cameras: The Daily Mail sees police deploy slick new technology at Notting Hill Carnival

Even the harshest critics of the Metropolitan Police admit the force has its work cut out with the Notting Hill Carnival.

Describing Europe’s biggest street party as a policing challenge would be a bit like referring to the Second World War as an unfortunate diplomatic incident.

Of course, it is not just the crowds of more than two million that put a strain on police resources every year on the August bank holiday. In recent years, it has also been the criminality – drugs, violence, knife crime, sexual offences, even murder – that all too frequently overshadows the celebrations.

So even with around 7,000 officers on duty, it is perhaps unsurprising that Met chiefs have introduced the use of live facial recognition (LFR) – previously deployed at the King’s coronation as well as Premier League matches – for the 2025 carnival.

Festivities officially began yesterday morning with the Children’s Day Parade. Thousands of revellers – many wearing ornate costumes of sequins and feathers – danced through the west London streets as drummers pounded unrelenting rhythms. Elsewhere, more than 30 sound systems blared out Caribbean and electronic dance music.

Meanwhile, officers were putting in place the final touches to their LFR system, which records images of people via sophisticated cameras. It uses biometric software to assess head size and other facial features, then converts these details into digital data. According to experts, any individual whose image scores 0.64 or higher (on a scale of zero to one) is highly likely to be a match for someone whose photo is on file.

At 6.23am yesterday, several hours before the parade got underway, specialists at the Met finalised a ‘watchlist’ of 16,231 individuals of interest to them. They included people wanted by the courts or being sought for alleged criminal activity that would merit jail time of ‘a year or more’.

Others on the list included those who have been freed under certain restrictions – including former prisoners released on licence from life sentences – to ensure they are sticking to the conditions imposed on them by the authorities.

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Game Day Just Got Creepy: Florida Stadium Swaps Tickets for Faces

The University of Florida has launched a facial recognition-based entry system for football games, making it the first college in the country to introduce this technology at a stadium.

Instead of showing a ticket or scanning a phone, participating fans will now be able to walk into games by having their face scanned at dedicated lanes.

The system, called Express Entry, was created by Wicket and reflects a larger pattern of biometric screening being integrated into major sporting events.

To sign up, fans must link their Ticketmaster accounts and submit a selfie.

Once registered, they can skip traditional lines and enter the stadium through special facial recognition lanes. The University claims the process is quick, easy, and designed to relieve congestion. “With Express Entry, fans can bypass the lines and enter games using their face instead of their phone or ticket. Enrollment is free and simple,” the University Athletic Association explained.

This move is part of a shift in how universities are beginning to experiment with surveillance-oriented technologies under the banner of convenience.

Though the program is optional and traditional ticketing methods remain available, the arrival of facial recognition at a public university venue introduces serious concerns around biometric data collection and surveillance practices in educational and public entertainment settings.

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Airlines urge senators to reject bill limiting facial recognition

A group representing several major airlines alongside travel companies and airports is opposing a Senate bill that would require the Transportation Security Administration (TSA) to generally use manual ID verification at security checkpoints instead of facial recognition.

The bill, introduced by Sen. Jeff Merkley (D-Ore.), would broadly restrict TSA’s ability to use biometrics and facial recognition, carving out a few exemptions for the agency’s PreCheck and other Trusted Traveler programs. Passengers may still opt in to the use of facial recognition at the checkpoint.

In a letter Monday to Sens. Ted Cruz (R-Texas) and Maria Cantwell (D-Wash.), the air industry groups said the law was a “step backward” and that facial recognition technology made security screenings far more efficient.

“The future of seamless and secure travel relies on the appropriate use of this technology to ensure security effectiveness and operational efficiency as daily travel volume continues to rise,” they wrote. “We are concerned that the vague and confusing exceptions to this blanket ban will have major consequences for the identity verification process, screening operations, and trusted traveler enrollment programs.”

Cruz and Cantwell are their parties’ highest-ranking members of the Senate Commerce, Science and Transportation Committee, which is scheduled to mark up the bill Wednesday.

In addition to limiting the use of facial recognition, Merkley’s bill would also require TSA to delete most images collected at checkpoints within 24 hours of a passenger’s departure.

Travelers going through a TSA checkpoint are generally able to opt out of facial recognition, the agency says. Merkley has argued the agency’s enforcement is inconsistent, posting on social media in February about his difficulties navigating the policy at Reagan Washington National Airport.

“This is big government coming to take away your privacy, trying to set up a national surveillance system,” the Oregon Democrat said in February. 

The airlines, however, warned that restricting the use of facial recognition could slow down security and divert TSA’s resources toward maintaining officer staffing, rather than focusing on automated innovations. The group also said it felt it had been insufficiently consulted on the legislation, “despite the major impact the bill would have on aviation security, airports, airlines, travelers, and technology companies.”

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London is the Testing Lab for Big Brother Mass Facial Scanning Tech

Since the start of 2024, the Metropolitan Police has been quietly transforming London into a testing ground for live facial recognition (LFR).

Depending on who you ask, this is either a technological triumph that’s making the capital safer or a mass surveillance experiment that would make any privacy advocate wince.

The numbers are eye-watering: in just over 18 months, the Met has scanned the faces of around 2.4 million people. And from that sea of biometric data, they’ve made 1,035 arrests. That’s a hit rate of 0.04%. Or, to put it plainly, more than 99.9% of those scanned had done absolutely nothing wrong.

The police, of course, are eager to present this as a success story. Lindsey Chiswick, who oversees the Met’s facial recognition program, calls it a game-changer. “This milestone of 1,000 arrests is a demonstration of how cutting-edge technology can make London safer by removing dangerous offenders from our streets,” she said.

Of those arrested, 773 were charged or cautioned. Some were suspects in serious cases, including violent crimes against women and girls.

But here’s where things get complicated. To secure those 1,000 arrests, millions of innocent people have had their faces scanned and processed.

What’s being billed as precision policing can start to look more like casting an enormous net and hoping you catch something worthwhile.

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ICE Is Using A New Facial Recognition App To Identify People, Leaked Emails Show

Immigration and Customs Enforcement (ICE) is using a new mobile phone app that can identify someone based on their fingerprints or face by simply pointing a smartphone camera at them, according to internal ICE emails viewed by 404 Media. The underlying system used for the facial recognition component of the app is ordinarily used when people enter or exit the U.S. Now, that system is being used inside the U.S. by ICE to identify people in the field.

The news highlights the Trump administration’s growing use of sophisticated technology for its mass deportation efforts and ICE’s enforcement of its arrest quotas. The document also shows how biometric systems built for one reason can be repurposed for another, a constant fear and critique from civil liberties proponents of facial recognition tools.

“Face recognition technology is notoriously unreliable, frequently generating false matches and resulting in a number of known wrongful arrests across the country. Immigration agents relying on this technology to try to identify people on the street is a recipe for disaster. Congress has never authorized DHS to use face recognition technology in this way, and the agency should shut this dangerous experiment down,” Nathan Freed Wessler, deputy director of the American Civil Liberties Union’s Speech, Privacy, and Technology Project, told 404 Media in an email.

“The Mobile Fortify App empowers users with real-time biometric identity verification capabilities utilizing contactless fingerprints and facial images captured by the camera on an ICE issued cell phone without a secondary collection device,” one of the emails, which was sent to all Enforcement and Removal Operations (ERO) personnel and seen by 404 Media, reads. ERO is the section of ICE specifically focused on deporting people.

The idea is for ICE to use this new tool to identify people whose identity ICE officers do not know. “This information can be used to identify unknown subjects in the field,” the email continues. “Officers are reminded that the fingerprint matching is currently the most accurate biometric indicator available in the application,” it adds, indicating that the fingerprint functionality is more accurate than the facial recognition component.

The emails also show the app has a “training range,” a feature that lets ICE officers practice capturing facial images and fingerprints in a “training non-live environment.”

A video posted to social media this month shows apparent ICE officers carefully pointing their phones at a protester in his vehicle, but it is not clear if the officers were taking ordinary photos or using this tool.

Broadly, facial recognition tools work by taking one image to be tested and comparing it to a database of other images. Clearview AI for example, a commercially available facial recognition tool which is used by law enforcement but which doesn’t appear to be related to this ICE tool, compares a photo to a massive database of peoples’ photos scraped from social media and the wider web.

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Guilt by Algorithm: Woman Wrongly Accused of Shoplifting Due to Facial Recognition Error

A woman was left “fuming” after being erroneously accused of stealing toilet paper and ejected from two Home Bargains stores in Greater Manchester, UK, due to an apparent mix-up with a facial recognition system designed to prevent shoplifting.

BBC News reports that Danielle Horan, a makeup business owner, found herself in a distressing situation when she was escorted out of Home Bargains branches in Salford and Manchester, without initially being given any explanation for her removal. It was later discovered that Horan had been falsely accused of stealing approximately £10 worth of items after her profile was added to a facial recognition watchlist used by the stores.

The incident unfolded on May 24, when Horan visited the Home Bargains store on Regent Road in Salford. As she was shopping, the store manager approached her and asked her to leave, causing Horan to feel embarrassed and confused in front of other customers. Despite her protestations, the manager advised her to contact Facewatch, the retail security firm that provides the facial recognition technology, directly.

Horan’s attempts to reach out to both Facewatch and Home Bargains initially proved futile. However, when she visited another Home Bargains store in Fallowfield, Manchester, with her 81-year-old mother on June 4, she was once again surrounded by staff and told to leave the premises as soon as she entered the store. This time, Horan stood her ground and demanded an explanation for her treatment.

After persistent emails to Facewatch and Home Bargains, Horan finally learned that there had been an allegation of theft involving approximately £10 worth of toilet rolls in early May. Somehow, her picture had been circulated to local stores, alerting them not to allow her entry. Horan checked her bank account and confirmed that she had, in fact, paid for the items in question.

Eventually, Facewatch responded to Horan, stating that a review of the incident showed she had not stolen anything. The firm acknowledged the distressing nature of Horan’s experience and noted that the retailer had since undertaken additional staff training. However, Horan’s ordeal had already taken a toll on her mental well-being, causing anxiety and stress as she questioned her actions and felt sick to her stomach for a week.

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Biometric Surveillance Expands: American Airlines Rolls Out Facial Recognition at Four Major Airports

American Airlines has begun using facial recognition to verify passenger identities at airport security, further embedding biometric technology into the air travel experience. The airline’s new Touchless ID program, now live at several major airports, allows select travelers to move through TSA PreCheck without showing ID or boarding passes.

As of May 29, travelers passing through Ronald Reagan Washington National, LaGuardia, Hartsfield-Jackson Atlanta, and Salt Lake City International can now confirm who they are simply by standing in front of a camera. That image is instantly compared against official federal photo databases such as passports or Global Entry records. If there’s a match, the traveler proceeds; no physical documents required.

This identity-verification option is available only to American Airlines AAdvantage members who are 18 or older, have a valid passport, and have an active TSA PreCheck membership with a Known Traveler Number. Users can enroll through the airline’s website or app, and participation lasts for a year, with the freedom to opt-out and revert to standard ID screening at any time.

The integration of facial recognition at TSA checkpoints may seem like a convenience upgrade, but it introduces concrete privacy risks that go far beyond the airport.

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Cities nationwide are quietly deploying facial recognition technology to track your every move

Police in cities across America want to deploy AI-driven facial-recognition technology that’s capable of tracking and identifying every human being who enters public spaces in real time.

Even politicians in some cities are calling for a pause or outright banishment of this technology from ever getting into the hands of cops. But the battle is shaping up to be a big one in cities nationwide, and if I was a betting man I would put my money on the technocrats and the cops. They will likely win out over the few politicians and taxpaying citizens who are concerned about privacy and civil liberties. They almost always do. They have the money and the media propaganda machine on their side.

According to an article in Biometric Update, two-thirds of Milwaukee’s city council says no, they don’t want this technology given to cops. An article in the Milwaukee Journal-Sentinel says 11 of 15 city alderpersons signed a letter opposing use of the facial recognition technology by the Milwaukee Police Department, citing concerns about bias, ethics and potential overreach.

Below is an excerpt from the article in Biometric Update, and notice the rationale — it’s always the same whenever technocrats are involved: Safety, speed and efficiency.

Milwaukee police currently don’t have a facial recognition system — but they want one, and have tested the technology. They say it makes solving crimes faster, and “can be done with the appropriate parameters in place to ensure that the use will not violate individual civil rights.” They say it would not be, and had never been, used as exclusively as probable cause to arrest someone. They have pledged to engage in public consultation as part of any formal acquisition process.

Nonetheless, the Council’s letter, written “in strong opposition to the deployment of facial recognition technology by the Milwaukee Police Department,” says that “while we understand the desire to enhance public safety and the promises people have made for this emerging technology, we believe these benefits are significantly outweighed by the risks.”

The article goes on to note that the council’s letter “names potential overreach by the administration of President Donald Trump as a risk factor, as well as studies showing that the majority of facial-recognition algorithms are more likely to misidentify people with darker skin, women and the elderly.

How absurdly shortsighted that their major concern is Trump using this technology. This suggests they’d be perfectly fine with facial-recognition being deployed if we just had a different person in the White House, someone with a “D” in front of their name like Gavin Newsom or Kamala Harris.

The American Civil Liberties Union of Wisconsin has asked the Milwaukee Council to adopt a two-year pause on any new surveillance technology across city services, including police.

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New Orleans Police Secretly Used Prohibited Facial Recognition Surveillance for Years

The New Orleans Police Department (NOPD) secretly received real-time, AI-generated alerts from 200 facial recognition cameras throughout the city for two years, despite a city ordinance barring generalized surveillance of the public.

“Police increasingly use facial recognition software to identify unknown culprits from still images, usually taken by surveillance cameras at or near the scene of a crime,” an exposé by The Washington Post explains. However, “New Orleans police took this technology a step further,” automatically alerting officers with real-time updates of names and locations of possible matches of wanted suspects from a private network of cameras through a mobile app. 

“This is the facial recognition technology nightmare scenario that we have been worried about,” Nathan Freed Wessler, a deputy director for the American Civil Liberties Union’s Speech, Privacy, and Technology project, told the Post. “This is the government giving itself the power to track anyone—for that matter, everyone—as we go about our lives walking around in public.” According to Wessler, New Orleans is the first known instance in which a major American city has used artificial intelligence to identify people through live footage for the purpose of making arrests.

The use of these automatic alerts may have violated a city ordinance meant to protect the public’s privacy from a generalized surveillance tool and prevent wrongful arrests due to software errors. 

Passed in 2022 in response to New Orleans’ post-pandemic crime wave, the Surveillance Technology and Data Protection Ordinance removed a previous prohibition on surveillance technology in criminal investigations to increase public safety. Mayor LaToya Cantrell said at the time that the NOPD needed “every tool available at their disposal” to keep the city’s “residents, businesses and visitors safe.” However, the ordinance stopped short of allowing the NOPD to utilize a “face surveillance system”—defined as “any computer software or application that performs face surveillance”—while limiting data collection to “only the minimum amount of personal information needed to fulfill a narrow well-defined purpose.”  

While violent crime in New Orleans has declined since 2022, so have the crime rates in most major American cities that do not use real-time facial recognition surveillance systems. 

Anne Kirkpatrick, superintendent of the NOPD since September 2023, paused the automatic alerts in April after learning about potential legal problems with using the system. Records obtained by the Post reveal that Kirkpatrick sent an email to Project NOLA, the nonprofit that provides the NOPD with facial recognition services, on April 8 stating “that the automated alerts must be turned off until she is ‘sure that the use of the app meets all the requirements of the law and policies.'” The network of cameras remains in place. 

While automatic pings of potential suspect matches to NOPD officers are paused, Kirkpatrick maintains that facial recognition technology is essential to law enforcement. On May 16, 10 inmates escaped from the New Orleans jail, prompting a manhunt (five inmates remain at large). Facial recognition is credited with the capture of two of the escaped inmates. Kirkpatrick told WVUE, the local Fox affiliate, that such a situation is “the exact reason facial recognition technology is so critical and well within our boundaries of the ordinance here.” Bryan Lagarde, Project NOLA’s executive director, confirmed that NOPD is not currently using real-time, AI-generated alerts but is still utilizing facial recognition technology and footage from 5,000 cameras across New Orleans to track and apprehend the escapees. Lagarde described to WVUE an instance in which officers narrowly missed an inmate by a matter of minutes, insinuating that automated alerts might be necessary to protect public safety, despite the cost to privacy. 

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