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Facia.ai
Company
About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
Campus Ambassador Ensure countrywide security with centralised face recognition services
Events Facia’s Journey at the biggest tech events around the globe
Sustainability Facia’s Mission for a sustainable future.
Careers Associate with FACIA’s team to create a global influence and reshape digital security.
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.
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.
Become the eyewitness to the technical intersection of AI, Economics, and fraud prevention with FACIA press release.
Identity spoofing in facial recognition occurs when an individual impersonates another person in front of a camera to deceive the system.
It is essential to start with the basics to understand what digital identities are.
Deepfake phishing uses an AI-generated fake audio, video, or image that is supposed to look like it was created by a person.
NIST stands for the National Institute of Standards and Technology. The National Institute of Standards and Technology is abbreviated as NIST. It comes under the U.S.
Retinal scanning is a biometric identification process that identifies people on the basis of their unique blood vessel pattern at the back of the eye.
The Children’s Online Privacy Protection Act requires websites to clearly explain how they handle data. This helps parents manage their children’s information.
FPIR measures how often a biometric system wrongly matches an unenrolled person to someone in the database, particularly in 1:N identification systems.
Automated Biometric identification Systems use human features for Biometric identification such as Facial recognition, IRIS scan, Liveness detection, and age verification.
Equal Error Rate (EER) is the point on ROC Curve where False Acceptance Rate (FAR) and False Rejection Rate (FRR) intersect and become equal.
The Receiver Operating Characteristic (ROC) curve is graph analyzing a binary classifier system showing trade-off between the True Positive Rate (TPR) and False Positive Rate (FPR).
False Non-Match Rate (FNMR) is the error rate in biometric identity verification tools that shows two identities belonging to the same person are flagged as a non-match.
False Match Rate (FMR) is the estimated error of a biometric authentication system in which it incorrectly matches two entirely different individuals and identifies them as the same person.
BPCER (Bona fide Presentation Classification Error Rate) is the false detection of a genuine user image as a fake one.
APCER in a biometric system is wrongly accepting a presentation attack as a genuine identification attempt.
FAR is the percentage error of a biometric identity verification system in accepting wrong identities.
False Rejection Rate is the frequency at which a biometric identity verification solution rejects a true identity.
