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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.
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.
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.
Complete playbook to understand liveness detection industry.
Read to know all about liveness detection industry.
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.
Most important updates about our activities, our people, and our solution.
Author: admin | 13 Aug 2025
The Home Office is deploying 10 new Live Facial Recognition (LFR) vans to seven police forces in England, doubling the current fleet. The technology will target suspects linked to serious crimes, including sexual offences, violent assaults, and homicides. Greater Manchester, West Yorkshire, Bedfordshire, Surrey, Sussex, Thames Valley, and Hampshire will share the new vehicles.
The LRF vans are already used in London, South Wales, and Essex. They scan passers-by and match their facial features against a watchlist. In London, LFR has led to 580 arrests in the past year, including 52 registered sex offenders who violated probation terms or court-imposed restrictions.
The potential expansion of LFR vans across England is being met with strong criticism. Civil rights organisations fear that the shift will normalise mass surveillance and will diminish individual rights. Reportedly, critics, among whom is Big Brother Watch, describe the expansion as alarming and argue it introduces a surveillance state. A legal challenge is underway, with privacy concerns raised by Baroness Chakrabarti, who warned of threats to civil liberties.
Minister of State for Policing and Crime Prevention, Diana Johnson, has reportedly defended the move. She said the LFR is a “proportionate, measured” instrument of finding serious offenders, where deployments are marked.
Thus, the government seeks the input on how to strike the right balance between representing transparent processes and instilling a sense of trust in the society whilst being law-abiding and privacy-respectful.
The LRF technology will be employed during events such as concerts and football matches to aid the security of the event. But other activists feel that this application of the LFR has itself been miscarried, and there are issues of retaliation and misuse.
The proponents respond that independent testing has revealed no bias, suggesting that the technology does not overwhelmingly affect any group due to ethnicity, age, or gender.
England is not alone in expanding the use of facial recognition in policing. In Thailand, police use robots equipped with facial recognition to watch public areas and spot suspects. Similarly, in Singapore, tested cameras have been installed in the city that can match faces as part of its “Safe City” program. In the United States, urban areas such as New York utilize mobile units equipped with comparable technology.
