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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.
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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.
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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.
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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.
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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.
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A bicameral law called the AI Labelling Act of 2023 aims to specify when audio and visual output is created using generative AI or artificial intelligence software. Senators John Kennedy (R-LA) and Brian Schatz (D-HI) first introduced the Senate’s version, S. 2691, on July 27, 2023. On November 21, 2023, Representative Tom Kean Jr. (R-NJ-7) introduced the House’s version, H.R. 6466.
Generative AI system developers who produce multimedia content, such as audio, video, and images, are included in the bill. The bill mandates that these developers provide clear and apparent disclosures that the content was produced using artificial intelligence. This disclosure is meant to inform users when they are interacting with an AI chatbot or watching content produced by AI.
Disclosure Obligation: Developers have to make disclosures regarding when content is generated through the use of AI.
Scope of Application: This bill is applicable to any software or application utilizing a Generative AI system that generates images, videos, sound, or multimedia items, even for enjoyment.
Enforcement: The Federal Trade Commission (FTC) enforces these labeling requirements and prescribes the requirements for this bill
The bill has clearly spelled out the elements of disclosure, but left out how the noncompliance will be handled. The Federal Trade Commission (FTC) will enforce this bill since it has jurisdiction to act against any unfair or deceptive use of AI-generated content.
So far, given that it is a bill yet to be enacted into law, there has been no case under the act heard or published to the public. However, the legal arena for AI-created content, and the question of deepfakes, is an area of debate.
The structure of AI Labeling in 2023 concurs with the worldwide initiatives towards bringing the technology of deep fakes under regulation. The European Union, for instance, has stricter standards on high-risk applications by classifying AI systems by risk levels via the AI Act. Likewise, under the Online Safety Act 2023 in the UK, criminalizing the creation and dissemination of deepfakes with malicious intent is prohibited. The AI Labeling Act of 2023 stands out, however, because it directly confronts the issue of transparency through mandatory labeling of a great deal of AI-generated multimedia content.
For Developers: Simply say that your content is AI-created. Make this easy to locate.
For Consumers: They will have better details regarding content, allowing them to make more informed decisions about what they read or interact with.
For Legal Professionals: Get updates on the new regulations and advise their clients accordingly to abide by the rules properly.
Increased use of deepfakes in politics has led to the introduction of the AI Labeling Act of 2023, which is a reflection of the increased concerns over its misuse by ill-intentioned individuals. The bill, even though not yet a law, indicates that legal frameworks must be enforced in matters pertaining to the new kinds of technological threats to election integrity.
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