Facia.ai
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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.
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.
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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.
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.
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Deepfake Laws Directory New Discover the legislative work being done to moderate deepfakes across the world.
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Russia’s Federal Law No. 27-FZ, effective from March 18, 2019, added administrative sanctions for the online dissemination of “unreliable information” to the Code of the Russian Federation on Administrative Offences, but does not mention deepfakes in particular. The law focuses on any information—at least information produced by artificial intelligence—presented in a false form and endangering public safety or order.
The legislation aims to disseminate information that Russian officials think is knowingly false, including deepfakes and other manipulated content. Production as well as sharing online are addressed. Deepfakes are not explicitly mentioned in the legislation, but “unreliable information” is defined broadly enough to include any form of media that manipulates the facts and threatens the safety or order of the public.
Article 13.15 of this act assigns administrative duty for spreading false information.
Both organizations and individuals are severely penalized for breaking the law. Enforcement: If the online news site publishes this kind of material, it can expect extrajudicial access limits from Roskomnadzor (Russia’s content censor). Individuals face fines of up to 400,000 rubles (around $6,000). Legal persons are fined up to 1.5 million rubles, or 23,000 rubles.
The first case under the legislation was directed against the magazine “Moment Istiny,” which had been sanctioned for spreading information that was deemed unreliable. This established a precedent for using the law against media outlets.
Russia adopts a more general attitude with a view to the dissemination of misinformation on all media, while other jurisdictions place strange emphasis on deepfakes through legislation. While this renders the application more versatile, it might perhaps also leave freedom of expression and censorship concerns.
Media outlets and content providers need to be cautious while publishing information that can be perceived as correct or misleading. If the content is discovered to be in contravention of this act, deepfake producers would be primarily prosecuted. Strong content moderation measures should be adopted by sites to detect and address any such offenses in advance.
Further specialized legislation specifically aimed at addressing the special issues caused by deepfake technology might be required as technology continues to develop. Russia’s existing legal code could be revised to reflect emerging technology and how far they are being abused. Further amendments could be submitted to address the special challenges provided by deepfakes, depending on ongoing debate and expansion of the legal community.
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