Facia.ai
Company
About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
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ABOUT US
Facia is the world's most accurate liveness & deepfake detection solution.
Facial Recognition
Face Recognition Face biometric analysis enabling face matching and face identification.
Photo ID Matching Match photos with ID documents to verify face similarity.
(1:N) Face Search Find a probe image in a large database of images to get matches.
DeepFake
Deepfake Detection New Find if you're dealing with a real or AI-generated image/video.
Detect E-Meeting Deepfakes Instantly detect deepfakes during online video conferencing meetings.
AI-Image Detection New AI Image Detection Detect manipulated or AI-generated images using advanced AI analysis
More
Age Verification Estimate age fast and secure through facial features analysis.
Iris Recognition All-round hardware & software solutions for iris recognition applications.
Customer Onboarding New Seamlessly and comprehensively onboard your customers.
Read to learn all about Facia’s testing
Liveness
Liveness Detection Prevent identity fraud with our fastest active and passive liveness detection.
Single Image Liveness New Detect if an image was captured from a live person or is fabricated.
Shared Device Authentication Verify users on shared devices with secure facial biometrics.
Passwordless SSO Passwordless login powered by 3D liveness detection for secure enterprise access.
Step-Up Authentication Trigger real time 3D liveness checks for high risk or sensitive actions.
Self-Service Account Recovery Restore account access quickly through a face scan with no support needed.
Industries
Retail Access loyalty benefits instantly with facial recognition, no physical cards.
Governments Ensure countrywide security with centralised face recognition services
Dating Apps Secure dating platforms by allowing real & authentic profiles only.
Event Management Secure premises and manage entry with innovative event management solutions.
iGaming Estimate age and confirm your customers are legitimate.
KYC Onboarding Prevent identity spoofing with a frictionless authentication process.
Banking & Financial Prevent financial fraud and onboard new customers with ease.
Contact Liveness Experts To evaluate your integration options.
Use Cases
Account De-Duplication (1:N) Find & eliminate duplicate accounts with our face search.
Access Control Implement identity & access management using face authorization.
Attendance System Implement an automated attendance process with face-based check-ins.
Surveillance Solutions Monitor & identify vulnerable entities via 1:N face search.
Immigration Automation Say goodbye to long queues with facial recognition immigration technology.
Detect E-Meeting Deepfakes New Instantly detect deepfakes during online video conferencing meetings.
Pay with Face Authorize payments using face instead of leak-able pins and passwords.
Facial Recognition Ticketing Enter designated venues simply using your face as the authorized ticket.
Passwordless Authentication Authenticate yourself securely without ever having to remember a password again.
Meeting Deepfake Detection
Know if the person you’re talking to is real or not.
Learn
Blogs Our thought dumps on all things happening in facial biometrics.
News Stay updated with the latest insights in the facial biometrics industry
Whitepapers Detailed reports on the latest problems in facial biometrics, and solutions.
Knowledge Base Get to know the basic terms of facial biometrics industry.
Deepfake Laws Directory New Discover the legislative work being done to moderate deepfakes across the world.
Case Studies Read how we've enhanced security for businesses using face biometrics.
Press Release Most important updates about our activities, our people, and our solution.
FAQs Everything there is to know about Facia’s offerings, answered.
Implement
Mobile SDK Getting started with our Software Development Kits
Developers Guide Learn how to integrate our APIs and SDKs in your software.
On-Premises Deployment New Learn how to easily deploy our solutions locally, on your own system.
Insights Stay ahead of digital threats with Facia's expert analysis on AI-driven identity verification.
Most important updates about our activities, our people, and our solution.
Author: admin | 13 Feb 2026
The British Transport Police (BTP) has begun a six-month trial of live facial recognition (LFR) technology at London Bridge station, marking a significant advance in biometric surveillance across the UK rail network. The pilot program, which began on February 11, 2026, will evaluate how well the technology operates in a crowded railway station while determining its capability to enhance public safety.
The project is under the supervision of Chief Superintendent Chris Casey, who leads the evaluation of technological performance through the trial, which tests real-world conditions. The pilot project required extensive research and planning work. However, rights groups have voiced concerns that such trials could normalise mass scanning in public spaces.
The LFR cameras scan faces. People who pass through measured areas and then their faces are checked against a list that contains names of people who are wanted because of serious criminal offenses. When a match is found, an officer checks the alert to determine whether the situation requires additional response. Details regarding watchlist criteria, data retention, and alert review processes are part of the trial’s evaluation. Passengers can use alternate routes to avoid recognition zones, and images of individuals not on watchlists are removed from the system. Public feedback is being collected via QR codes on posters, and deployment schedules and operational sites will be shared publicly prior to implementation.
BTP has assured passengers that they can use alternate pathways, which lead beyond the recognition zone, while all non-listed individuals will have their images removed from the system. The force will use QR codes, which they placed on posters, to collect public feedback, while they will disclose their deployment schedule together with their operational sites before their actual deployment.
The pilot program evaluates biometric surveillance systems, which have been implemented in previous trials by police departments in major urban areas globally. The trial at London Bridge station is designed to test the technology’s performance in real-world conditions, including crowded public spaces, and to assess its potential for enhancing operational efficiency and public safety.
Facial recognition trials have been conducted in cities such as New York, Chicago, and Tokyo, which target specific crime hotspots and transit hubs for their testing. The Met Police faced legal challenges in London because of their usage of LFR technology, while China and Singapore have implemented similar systems across their regions to monitor security and public safety.