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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
Innovation Facia is at the forefront of groundbreaking advancements
Sustainability Facia’s Mission for a sustainable future.
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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.
News Stay updated with the latest insights in the facial biometrics industry
Whitepapers Detailed reports on the latest problems in facial biometrics, and solutions.
Webinar Interesting discussions & debates on biometrics and digital identity.
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.
Buyers Guide
Complete playbook to understand liveness detection industry
In This Post
We’ve seen Dwayne the Rock Johnson’s face swapped onto the fat body of Sione Kelepi in the famous Hollywood comedy/action film ‘Central Intelligence’. We witnessed Robert De Niro and Al Pacino defying the clutches of time in one of the greatest mafia-themed movies ‘The Irishman’. We even saw Cody Walker and Caleb Walker replacing Paul Walker (late) to continue filming the greatest car-racing movie series The Fast & the Furious. All of this was possible through deepfake in movies and it doesn’t stop here. Deepfake technology’s concept is also marketed in movies like ‘Red Notice’ in which Ryan Reynolds explicitly used the line “its deepfake time” while spoofing into Sotto Vocce’s artifact and collection vault using his smartphone having both deepfake video and voice clone.
AI Deepfakes have revolutionized the film industry in conceptualization and as a filmmaking technology helping filmmakers in multiple ways.
Deepfake or ‘Deep Fake’ is an interchangeably used term that refers to an image manipulation technology through which an entirely new yet fake identity (a digital being) is created. This new fake digital person can have all the attributes of a human being except that in reality, it doesn’t exist. Deepfake is synthetic media that employs deep learning, neural networks, artificial intelligence, and machine learning to create highly realistic and convincing images, voices, and videos of real-life people or sometimes swap a person with another.
Most Deepfake images and videos created online use a celebrity deepfake, manipulating a celebrity photograph or a video and manipulate it to swap it with one common individual. It is done for defamation, online digital fraud, and deepfake pornography.
Numerous films used deepfakes to enhance their filmmaking and the appearance of actors on the screen. Most Filmmakers and animation specialists have used CGI (Computer Generated Imagery) to create actor doubles of aging or dead actors. As mentioned in the beginning, many films employed CGI doubles and De-aging camera tricks.
Here are the top 3 films that used CGI-powered deepfake technology creating deepfake of actors to facilitate filmmaking.
Different technological models have enhanced the realism in the results of deepfake creation. Movies employ deepfakes to overcome the aging factor of famous actors, the resurrection of dead ones (guest appearances mostly), or to enhance the overall picture quality on a lower budget. If we dig into the concept deeply, abundant research has been published proving that deepfakes are quite helpful in filmmaking. For example, FSGAN (Face Swapping GAN) has helped in mitigating the error due to partial occlusion present on target and source pictures and create a smooth transition in deepfake videos.
Pablo Hilman, the visual effect supervisor of the Irishman employed infrared cameras surrounding the movie camera to capture the aged actors’ faces at all times, divided two teams to develop each movie scene captured and age or de-age actor’s face appearances without interfering with their performance. Other deepfake movies are created in a much similar way except for the change of recording devices and cameras but the concept remains the same.
As the movie-tech has advanced, the need for training AI and Machine Learning models for deepfake has also reduced to a minimum. FSGAN’s proposed model brought eye-opening insights through its graphical demonstration and real-time video play having deepfake injection attacks using face swaps. This concept has paved the way for producing much better quality movies that can employ actors from the past or create new ones.
If you have watched the movie ‘Red Notice’ carefully, Ryan Reynolds plays the role of a world-class art thief who attempts to open the vault of Sotto Vocce using AI deepfake. He even uses the line “Its deepfake time.” However, one must know that the use of deepfake through a video replay as shown in red notice is a pure exaggeration as in real-world deepfakes like this won’t go undetected as facial recognition tools have also enhanced their quality.
Movies are inarguably the most impactful tool having the power to change the mindset of the masses. Films can positively impact people by raising awareness against the negative use of deepfake technology. There’s a need to highlight the importance of facial recognition technology for detecting deepfake attacks. Documentaries, action films, and other Sci-Fi genres can be flooded with true story-based as well as fiction portraying deepfakes as a threat. The audience should also understand that deepfake technology itself is not a crime but its use for identity theft, spoofing attempts, and fraud certainly is.
Deepfake technology is widely used in the film industry for aging and de-aging actors through CGI and VFX techniques. Deepfake has also helped in the resurrection of dead actors and preserving great casts in films.
Deepfake technology itself has helped in refining actors' looks through de-aging. However, deepfake technology may not be able to create something unique and connect to the audience. It may help in creating a fictitious character which may also become famous and a fan favorite but the need for real human actors will always remain there.
As deepfake technology has started taking the places of great actors, it may also impact the acting, facial expressions, realism, and emotions of actors that are filmed. Deepfake actors may not be able to influence a large audience but they may be used to refine film quality.
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