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
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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.
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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
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.
Most important updates about our activities, our people, and our solution.
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The Canadian Human Rights Act (RSC 1985, c.H-6) provides protections, of human rights violations, to people in federally regulated sectors. It was enacted into law in 1977, and while it does not specifically mention deepfakes, we are not ruling out the possibility of it being applicable if the material depicted in a deepfake constitutes harassment or discrimination on protected grounds, such as race, sex, or disability.
This Act recognizes the harmful use of deepfakes as it relates to hate, harassment, or discrimination against individuals or groups. The Act expressly recognizes the form and accessibility of distribution and use, and the impact on or harm to the individual or group being deepfaked, especially when it includes mocking, impersonations, or belittling, based on protected grounds. The Act does not include parody or satire unless they cause discriminatory harm and is primarily interested in the outcome, not the creation.
The potential remedies include orders to cease the discriminatory practice, public apologies, or compensation for damages. The Canadian Human Rights Commission has the power to investigate complaints, and may refer cases to the Canadian Human Rights Tribunal.
Although they will not draw direct comparisons to deepfakes, “Warman v. Lemire” case illustrates the court’s ability to try to regulate online hate speech under section 13, before it was repealed. Current legislative proposals are now trying to re-evaluate aspects of the similar problem posed by digital content.
When comparing Canada to the U.S. regarding rights, the Canadian approach is a stronger focus on discrimination and the effect of deepfakes as opposed to free speech. On the other hand, there is no enforcement mechanism in Canada, similar to the AI Act in the EU, that addresses rights and AI specifically as it relates to discrimination.
If an individual is the subject of hateful deepfakes, they can file a complaint before the Canadian Human Rights Commission. Content creators should avoid creating content that subject individuals to derision that is based on legislative protected characteristics.
The Canadian government is considering a revision to reintroduce hate speech laws and bring them into the modern world, making them applicable to digital and AI-generated content, including deepfakes.
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