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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.
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.
Gambling 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.
Resources
Blogs Our thought dumps on all things happening in facial biometrics.
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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.
Mobile SDK Getting started with our Software Development Kits
Developers Guide Learn how to integrate our APIs and SDKs in your software.
Knowledge Base Get to know the basic terms of facial biometrics industry.
Most important updates about our activities, our people, and our solution.
Author: teresa_myers | 28 Jun 2024
In This Post
In the last few years, the amount of media found online generated using artificial intelligence tools and deepfake technology has multiplied astronomically. Almost every field, industry, and domain of everyday life has started to see the use of artificial intelligence in one form or another, especially social media.
As the technological tools that allow the creation of AI-generated content become increasingly available to the general public, we are seeing a significantly large amount of fake images and videos on social media platforms.
The Met Gala, one of the most important annual fashion and aesthetics-based events in Hollywood, this year saw the most popular and trending images out of all the hundreds that were taken, to be the two that were generated using artificial intelligence. Instagram themselves with their official account commented on the generated images of popular celebrity Katy Perry as if they were real photos, before they were eventually flagged as altered.
This is just one example of the massive amount of images and videos found online that are being used to spread mass misinformation, malign people’s public perception, and more.
There have recently been efforts for fake image detection, particularly on the social media platforms owned by Meta, to counter this massive spread of generated and manipulated content using deepfake detection. Meta has started to apply a ‘Made by AI’ label on photos that its algorithms determine to have utilized artificial intelligence to generate.
The attempted AI image detection has started to backfire though. In recent months, many people, especially creators online, have been complaining that the ‘Made by AI’ tag is being wrongly applied to photos that are completely authentic.
This is causing major concern, as people online are saying that instead of solving the AI vs. real image dilemma, the AI face detection by Meta is exacerbating it. From digital art to professional photos that have been touched up, a large amount of creative content is being labeled by the algorithms incorrectly.
In this odd and confusing social media landscape filled with rampant fake and generated content that is difficult to detect, and the tools that do exist for image fraud detection are highly unreliable in their level of accuracy, Facia is planning to soon bring the ultimate solution.
The development team at Facia is working on a solution that deals with this very issue, so stay tuned for a very important announcement coming on the 11th of July (expect to see the highest accuracy rate in the market).
Also Read:
Pennsylvania Senate Passes Bill to Curb Distribution of AI-Generated Deepfakes of Minors