Facia.ai
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About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
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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
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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.
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In This Post
Paying for something used to mean one of three things tapping a card, unlocking a phone, or digging for cash. Pay by face turns that routine into a single step. You look at a screen, your identity is verified, and the payment goes through.
Pay by face is a facial recognition payment method that lets customers authorize purchases using a live face scan. After enrollment, the system creates a secure facial template linked to a payment credential or token. At checkout, a camera captures a live scan, confirms liveness, matches the face to the enrolled template, and approves the transaction without a card or phone.
The growing adoption of facial recognition payment and biometric authentication in retail and financial technology has resulted in a massive increase in the biometric payment market from US$42.86 billion in 2024 to about US$66.97 billion by 2029, which demonstrates the increasing preference for speedy and safe transaction methods.
A customer chooses to opt in and sign up via a banking application, a wallet application, or an in-store registration process. The system first transforms the facial image into a digital template, then encrypts it, and finally associates it with a payment method or token.
At a supported terminal, kiosk, or camera-enabled payment device, the customer looks at the screen. The camera captures a live scan in seconds.
The process of face matching is preceded by the verification of the scanned image’s authenticity, i.e., it should be a real person’s scan and not a photo, a replayed video, or a mask-based attempt. Here, liveness detection plays a crucial role.
Once the scan is aligned with the enrolled template, the system allows the transaction through the payment flow. On the contrary, if it does not match, the customer resorts to a fallback method such as using a card, entering a PIN, or utilizing a mobile wallet.
The idea of paying by facial recognition is not just a theoretical concept anymore, as it is already being implemented in different industries around the world and making its presence felt. The following are some practical examples:
Facial recognition technology has already become a standard method in China for payment processing. The implementation of the face recognition-based payment systems took place in large retail stores, fast food outlets, and even within the public transport system. Currently, over 100 million individuals are taking advantage of the face recognition payment services, wherein making purchases just by showing their face is the only step for them.
Payment systems based on facial recognition are being examined not only by retailers but also by fast-food chains outside of China. One of the most conspicuous instances is a pilot that KFC has introduced in China, termed Smile to Pay, which allows patrons to have their faces scanned at either a counter or a kiosk in order to pay, thus avoiding the conventional cash or card methods altogether. The very nature of this innovation is to make the payment process more efficient and to shorten the time spent on checkouts.
Face payment technology is also making strides in the digital space. Some online retailers are experimenting with allowing customers to authenticate their purchases using facial recognition, eliminating the need for credit cards and payment apps.
Most pay-by-face issues are not about whether the camera works. The reports concern a system around the real-world behavioral pattern.
Enrollment risk With enrollment at a low, the downside is distributed through the whole system. Hence, a good entry or verification system will help.
Fraudulent activities may involve the use of images, replay attacks, and more sophisticated techniques such as presentation attacks. Payment processors must have protection that is designed not only for proper lighting but also for the adversary’s behavior.
Operational edge cases Adoption is influenced by various factors, including the quality of lighting, positioning of the terminals, the movement of queues, and the available fallback options. A neat fallback solution, such as a pin or tap option, not only allows for seamless verification but also assures that customers will not get frustrated during the process when verification fails.
Facial data is very personal and sensitive. Companies must be very specific in their communication about the different aspects of consent, retention, and usage. They also have to make sure that the storage and processing of the data comply with the privacy regulations in their location.
Face payment tech is not only a passing trend but also a revolution in the transaction process. The enormous investments made in biometric payments, amounting to billions of dollars, indicate beyond any doubt that the face payment technology is going to be a major player in the future.
Facia is at the forefront of developing safe, compliant, and innovative payment solutions through facial recognition.
Ready to accept payments at the speed of a glance? Get started with Facia.
If the system doesn't recognize your face, you’ll be prompted to try again or use a backup verification method, like a PIN or card. This ensures you can still complete the payment smoothly.
Countries like China, the US, and the UK are already using face-based payment systems. More regions are gradually adopting the technology as it becomes more widely available.
Pay with face uses facial recognition, while fingerprint payment relies on scanning your fingerprint for authentication. Both offer contactless payment options, but they use different methods for verifying identity.
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