new york subway

Group Sues New York City MTA For Records On Facial Recognition Use in Subway Station

The Metropolitan Transportation Authority maintains that it has not used facial recognition on riders, but privacy advocates want records related to the technology the agency purchased.

A New York privacy advocacy group is suing the New York City Metropolitan Transportation Authority for records relating to the agency’s installation of surveillance camera tech in a subway station last year.  

The lawsuit, filed on Jan. 6 by the Surveillance Technology Oversight Project (S.T.O.P.), was prompted by the April 19 tweet of a New York Times employee who noticed a Wisenet monitor of riders as they entered the Times Square-42nd Street/Port Authority Bus Terminal. The photo showed yellow squares drawn over the faces of the passengers, leading many to suspect that the surveillance cameras were using facial recognition technology.

 

 

S.T.O.P. filed a public information request for documentation of the surveillance cameras’ capabilities in April, which the MTA did not respond to, according to the organization.

“New Yorkers deserve to know if the MTA is using invasive new spy tools,” Albert Fox Cahn, the executive director of S.T.O.P., said in a statement. “More than eight months ago, we submitted a straightforward request, but since then we’ve received nothing but evasion and stonewalling.”

The MTA has repeatedly denied that the Wisenet monitors had facial recognition capability. In a statement, MTA spokesperson Shams Tarek reiterated the agency’s position.

“There is absolutely no facial recognition component to these cameras, no facial recognition software, or anything else that could be used to automatically identify people in any way, and we have no plans to add facial recognition software to these cameras in the future,” Tarek said. “ Beyond that, it’s our policy not to comment on pending litigation.”

Wisenet does offer facial recognition technology cameras, but it is not clear if that was the product purchased by the MTA. When the tweet was shared last year, the MTA said the video monitor was intended to scare people from turnstyle jumping, according to The New York Daily News.

But Cahn maintains that the agency should have to produce records showing what it purchased and what its intended purpose was.

“If the MTA was telling New Yorkers the truth about their facial recognition systems, then why has it taken nearly a year to get the documents that prove it?” Cahn said.

About the Author

Haley Samsel is an Associate Content Editor for the Infrastructure Solutions Group at 1105 Media.

Featured

  • Maximizing Your Security Budget This Year

    Perimeter Security Standards for Multi-Site Businesses

    When you run or own a business that has multiple locations, it is important to set clear perimeter security standards. By doing this, it allows you to assess and mitigate any potential threats or risks at each site or location efficiently and effectively. Read Now

  • Getting in Someone’s Face

    There was a time, not so long ago, when the tradeshow industry must have thought COVID-19 might wipe out face-to-face meetings. It sure seemed that way about three years ago. Read Now

    • Industry Events
    • ISC West
  • Live From ISC West 2024: Post-Show Recap

    ISC West 2024 is complete. And from start to finish, the entire conference was a huge success with almost 30,000 people in attendance. Read Now

    • Industry Events
    • ISC West
  • ISC West 2024 is a Rousing Success

    The 2024 ISC West security tradeshow marked a pivotal moment in the industry, showcasing cutting-edge technology and innovative solutions to address evolving security challenges. Exhibitors left the event with a profound sense of satisfaction, as they witnessed a high level of engagement from attendees and forged valuable connections with potential clients and partners. Read Now

    • Industry Events
    • ISC West

Featured Cybersecurity

Webinars

New Products

  • A8V MIND

    A8V MIND

    Hexagon’s Geosystems presents a portable version of its Accur8vision detection system. A rugged all-in-one solution, the A8V MIND (Mobile Intrusion Detection) is designed to provide flexible protection of critical outdoor infrastructure and objects. Hexagon’s Accur8vision is a volumetric detection system that employs LiDAR technology to safeguard entire areas. Whenever it detects movement in a specified zone, it automatically differentiates a threat from a nonthreat, and immediately notifies security staff if necessary. Person detection is carried out within a radius of 80 meters from this device. Connected remotely via a portable computer device, it enables remote surveillance and does not depend on security staff patrolling the area. 3

  • PE80 Series

    PE80 Series by SARGENT / ED4000/PED5000 Series by Corbin Russwin

    ASSA ABLOY, a global leader in access solutions, has announced the launch of two next generation exit devices from long-standing leaders in the premium exit device market: the PE80 Series by SARGENT and the PED4000/PED5000 Series by Corbin Russwin. These new exit devices boast industry-first features that are specifically designed to provide enhanced safety, security and convenience, setting new standards for exit solutions. The SARGENT PE80 and Corbin Russwin PED4000/PED5000 Series exit devices are engineered to meet the ever-evolving needs of modern buildings. Featuring the high strength, security and durability that ASSA ABLOY is known for, the new exit devices deliver several innovative, industry-first features in addition to elegant design finishes for every opening. 3

  • Automatic Systems V07

    Automatic Systems V07

    Automatic Systems, an industry-leading manufacturer of pedestrian and vehicle secure entrance control access systems, is pleased to announce the release of its groundbreaking V07 software. The V07 software update is designed specifically to address cybersecurity concerns and will ensure the integrity and confidentiality of Automatic Systems applications. With the new V07 software, updates will be delivered by means of an encrypted file. 3