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Futurism

New "Advertisement" for Kylie Jenner's Meta Perv Glasses Shows Something Horrific If You Look at It From the Wrong Angle In Light of Overwhelming Backlash, Flock Cancels Creepy Audio Surveillance Feature Redditors Are Celebrating the Cutting Down of Flock Surveillance Towers With Based Memes LAPD Abandons Flock Contract After Making a Horrifying Discovery Flock Cameras Screw Up, Swarm Innocent Man With Armed Police US Air Force Engineer Charged With Sawing Down Flock Surveillance Cameras Receives Thousands of Dollars from Supporters Across the Country Woman Surprised When Flock Surveillance Tower Appears in Her Yard Without Warning Failing Robot Cop Company Knightscope Now Publishing Bizarre AI Slop Fan Fiction About Its Robots Solving Absurd Crimes Amazon Investigating Its Own Employees for Daring to Oppose AI Data Center Microsoft Announces New Feature That Narcs on You to Your Boss Palantir, World’s Weepiest Eye of Sauron, Sues Mayor of London After Losing a Contract Trump Moves to Deeply Censor the Entire Internet Innocent Man Freed After Spending Over 50 Days in Jail Due to Horribly Inaccurate AI Facial Recognition Tech Random Standard Wi-Fi Routers Can Scan Your Body to Identify Exactly Who You Are, Alarming New Research Finds Hackers Find That Inaudible Sounds Hidden in Podcasts or Random Videos Can Hijack Your AI Voice Chatbot Why Are So Many Websites Suddenly Demanding Evidence You’re Not a Robot? Town Councilmember Goes Berzerk at Surveillance Camera Ban, Threatens to Outlaw Virtually All Modern Technology AI Is Giving Your Boss Tools to Be More Monstrous Than Ever Before Vibe Coded Apps Are Spilling Users’ Personal Information Directly Into the Maw of Greedy Hackers Man Wearing Smart Glasses Secretly Records Woman, Demands Money to Delete Video From His Socials Cursed New AI Service Writes a Mother’s Day Card and Mails It to Your Mom Without Any Human Involvement Except Inputting Your Credit Card Details James Cameron Accused of Stealing 14-Year-Old Girl’s Face for Main Character of Billion-Dollar “Avatar” Films AI Spy Cameras Suddenly Blanketing America Man Trapped in Dystopian Nightmare Thanks to AI Surveillance Cameras Flagging His Every Move Tinder Scanning Users’ Eyeballs to Prove They Aren’t Creeps The Number of Drones Being Deployed to Surveil Anti-Trump Protestors Is Staggering Leak Shows ICE Planning to Use Facial Recognition Glasses to Identify Targets in Real Time Prego Pivots From Budget-Tier Pasta Sauce to Small Microphones That Listen to Your Family’s Intimate Conversations Madison Square Garden Reportedly Used Facial Recognition to Stalk Trans Woman For Two Years Things You Told ChatGPT or Claude My Have Already Doomed You in Court Woman Sues OpenAI, Saying ChatGPT Unleashed a Vicious Stalker Against Her and Did Nothing When She Begged for Help Huge Group of Experts Warns Meta That Its Pervert Glasses Will Enable Terrible Crimes
New York City Installing Sensors to Detect Pedestrians, Vehicles, and Pretty Much Everything Else
Joe Wilkins · 2026-06-08 · via Futurism

A photo illustration featuring a pedestrian crossing sign in Manhattan.

Illustration by Tag Hartman-Simkins / Futurism. Source: Getty Images

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It may sound like yet another rollout of a dystopian surveillance state network of facial recognition cameras — but the New York Department of Transportation’s latest initiative has a far more tame goal in mind: tracking modes of transport to improve street design.

According to the Gothamist, the New York Department of Transportation has added 100 roadside sensors across the city in order to pick up data on vehicle, bike, and pedestrian traffic.

The effort is an expansion of a 2023 sensor pilot meant to gather data on city traffic, which saw 20 such devices installed on signposts in various locations. The machine-learning sensors — explained as a tool to help improve pedestrian crossings and bicycle infrastructure — are trained to anonymize faces and license plates, DOT deputy commissioner Eric Beaton told the Gothamist.

An image shared by the DOT shows the sensor in action: a hazy blur obscures some details, but a machine learning algorithm ensures each pedestrian and vehicle is visually tracked in color-coded boxes, each with their own label.

A view from the New York City Department of Transportation's traffic sensors, with various traffic elements highlighted and labeled in color-coordinated boxes.

“There’s nothing that we ever touch or that anyone could ever touch that has anything identifying to any person or any vehicle,” the DOT’s Beaton claimed. “These sensors provide a much richer set of data for us to work with.”

As part of the surveillance move, the DOT said it will share a portion of the data collected with the community. Accountability watchdogs, however, are demanding all of it.

“If they’re collecting this data on behalf of the public, as a taxpayer-funded agency, we deserve to know what it says and so there should be regular reporting,” transit advocate and former policy director for the DOT Jon Orcutt told the Gothamist.

Still, the situation highlights the tricky position city officials find themselves in, where collecting enough data to make informed decisions about better transit options necessitates an expansion of municipal surveillance.

As Orcutt explains: “there are [currently] 20 or 25 sites where bikes are counted. You get a very small data set from that. You know we have 6,000 miles of streets.”

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