Perplexity AI:
Moscow, Russia Metro; how many daily passages are there, and how many are controlled biometrically?
The Moscow Metro records over eight million daily passages as of 2025, making it one of the world's busiest metro systems. As for biometric fare control (“biometric” systems), Moscow's Face Pay facial recognition payment system has processed over 100 million rides as of April 2024, with a rapid expansion underway toward full deployment by the end of 2025. It is estimated that approximately half a million users are registered for biometric payment, and more than 1,500 turnstiles across the network currently support this method, with further growth anticipated.
Daily Passenger Volume
- The Moscow Metro sees over eight million riders daily, with peaks reported above nine million.
- Major lines, like the Big Circle Line, alone handle about 1.4 million trips on typical weekdays.
Biometric Fare Control Scale
- As of August 2025, around 500,000 regular users are registered for Face Pay biometric fare, and over 100 million rides have been completed with this technology.
- Over 1,500 turnstiles are equipped for biometric access, with plans to cover all stations by late 2025.
- Current usage represents about 5–7% of all daily passages, with forecasts (from previous years) suggesting up to 10–15% in the coming years.
Fare Control Methods
- Besides biometric fare, passengers still predominantly use traditional tickets, contactless cards (Troika), and QR codes.
- Moscow leads globally in payment method diversity for public transport.
In summary, over eight million daily passages occur on Moscow Metro, with biometric (Face Pay) fare control currently handling several hundred thousand rides daily across more than 1,500 turnstiles, and full system-wide coverage expected by the end of 2025.
How costly is this; can you break this down for me. I would be curious to know about the hardware, electricity and AI involved?
The Face Pay biometric fare control system in the Moscow Metro involves significant costs in hardware installation, electricity, and AI infrastructure, with rollout budgets reaching into the billions of rubles for full system-wide deployment by 2025.
Hardware Costs
Moscow Metro allocated 1.16 billion rubles (~$12–$13 million USD) in early 2025 specifically for the purchase of domestic servers dedicated to biometric recognition across all turnstiles.
Each turnstile requires a camera with facial recognition capabilities as well as access control components, plus network connectivity hardware.
The biometric system’s expansion to all 4,000 turnstiles increases overall hardware outlay (servers, cameras, and secure backing equipment), with incremental upgrades to support redundancy and processing speed.
Electricity Consumption
The system consumes more electricity than standard turnstiles due to the constant operation of cameras and local AI processors, plus the backend servers handling real-time facial recognition matching.
While exact electricity cost numbers are not public, industry experts note that server-room upgrades and video processing infrastructure add nontrivial recurring utility bills, especially in a system handling millions of passages daily.
AI Infrastructure
The rollout included certified secure servers with multi-platform video stream processing; these servers host the AI/vision algorithms for facial recognition, liveness detection, and anti-spoofing capabilities.
The VisionLabs platform (biometric partner) built out software designed to handle high-volume, low-latency turnstile access, maintaining response times under 1.5 seconds per user even at rush-hour loads.
Moscow’s broader municipal “Safe City” network supplies cloud and network resources, integrating metro live camera feeds into a city-wide surveillance data layer that amplifies both processing requirements and AI capability needs.
Relative Cost and Benefits
Biometric fare payment remains the most cost-effective passenger method compared to bank card and wallet ticket options, according to city officials.
It saves on unpaid fare losses, ticket fraud, and has the potential to cut long-term staffing needs, which offsets some hardware and energy costs.
In summary: hardware installation costs surpass 1 billion rubles, with ongoing electricity and AI expenses driven by robust server and camera deployments for secure, scalable face recognition in the Moscow Metro.
I believe New York has refused such a system??
Yes, New York has explicitly refused to implement facial recognition fare control in its subway system. In April 2024, a provision was quietly added to New York State’s budget that bans the Metropolitan Transit Authority (MTA) from using facial recognition or other biometric identification technology for fare enforcement or passenger access. This decision was motivated by privacy concerns and fears of expanding surveillance, strongly advocated by civil rights organizations and New York assembly members.
Legal and Policy Stance
New York State law now forbids the MTA from using facial recognition, or arranging for its use, to enforce fare payment or access to transit.
The MTA has consistently stated it does not and will not use facial recognition for passenger identification or payment.
Privacy and Ethical Concerns
Advocacy groups, such as the Surveillance Technology Oversight Project (S.T.O.P.), welcomed the ban as a victory for privacy and a check against surveillance expansion in public spaces.
The policy aims to protect New Yorkers from potential uses of biometric surveillance that could criminalize ordinary presence and travel.
Technology in Use
While facial recognition is banned, New York does employ AI-based systems to monitor fare evasion, which analyze behavior but do not identify individuals by their faces.
The city’s open payments system (OMNY) uses contactless cards and devices, avoiding any biometric or facial scan requirements.
Thus, New York has legally prohibited facial recognition fare systems in the subway, prioritizing citizen privacy and rejecting Moscow’s approach.
What about other large cities, Beijing, Seoul...?
Beijing and Shanghai have actively deployed facial recognition for subway access and security, while Seoul’s metro has pursued limited biometric applications—mainly for passenger convenience, data analytics, and some AI-powered monitoring, but not yet full facial recognition payment at turnstiles.
Beijing
Beijing’s subway system uses facial recognition technology at station entries for both ticketing and security checks; passengers can opt to enter by scanning their faces, bypassing paper tickets and increasing efficiency.
By end of 2025, Beijing aims to expand these systems further for fare payment and to detect fare evasion.
China’s new facial recognition regulations (active June 2025) give riders the right to alternatives and stricter privacy safeguards, but biometric scanning remains widespread in subway operations, especially for security.
Seoul
Seoul Metro does not currently use wide-scale facial recognition fare payment at turnstiles.
Seoul’s approach features various biometric tools (e.g. palm vein scanners on select lines or for special ticketing groups), but the dominant entry methods are contactless transit cards and QR codes.
AI-based security and passenger analytics help manage crowds and optimize station safety, but these do not involve direct facial identification at turnstile gates for mass fare collection.
Regional Comparison Table
Beijing’s subway leads in biometric ticketing, while Seoul Metro prioritizes privacy and contactless cards, with only isolated biometric pilots at present.
Do any other cities use biometrics?
Yes, several major cities worldwide use biometrics in public transport, most commonly facial recognition, but also palm, iris, or fingerprint scanning for ticketing, security, and identification. Adoption varies by country and city, with China (Beijing, Shanghai), Russia (Moscow, Kazan), Japan (Tokyo), Brazil (multiple cities), UAE (Dubai), and Spain (Madrid) among the frontrunners.
Global Examples
China (Beijing, Shanghai): Facial recognition is widely used for subway and bus fare payment, security checks, and crowd management.
Russia (Moscow, Kazan, Nizhny Novgorod): Expanding “Face Pay” facial recognition for metro fare payment across multiple cities; Moscow to have universal coverage by late 2025.
Japan (Tokyo Metro): Tokyo Metro is rolling out facial recognition fare gates, allowing passengers to enter without tickets.
Brazil: Almost 40 cities now use facial recognition for fare payment and ticket fraud prevention on buses and trains, including Salvador, Porto Alegre, Brasilia, and Curitiba.
UAE (Dubai Metro): Dubai tests biometric gates using iris and palm vein scanning to speed entry and improve security.
Spain (Madrid): Madrid’s South Bus Terminal uses facial recognition to cross-check passengers against criminal databases.
South Korea: Uses facial recognition and other biometrics for transit surveillance and select payments, mainly for security and analytics.
Stockholm (Sweden): Trials unconventional biometrics, like gait analysis, for secure passenger entry.
United States (Kansas City): Kansas City is piloting AI-powered facial recognition cameras on buses for security and missing persons identification, with expansion linked to the 2026 World Cup.
Adoption Scope
Facial recognition is the most popular form for fare payment in East Asia, Russia, and emerging markets.
Palm, iris, and hybrid biometrics are rising in newer metro systems of Japan, UAE, and select European networks.
North America has mostly restricted biometrics to pilots and security use (NYC and other major cities do not use biometrics for fare control).
Argentina, Chile, Kazakhstan, India, and others also deploy biometrics for mass transit, mainly for security and access control.
Biometric technology in public transport is now common in several Asian, Russian, and South American cities, with limited trials and broader adoption underway across Europe and the Middle East.