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Facia.ai
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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.
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.
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Complete playbook to understand liveness detection industry
In This Post
Businesses are embracing different biometric verification methods to safeguard and enhance security measures during financial operations from digital fraud, particularly during digital transformation. One such method is the 3D liveness check, which confirms the presence of a live person during authentication.
As financial institutions move toward digital onboarding and full-service platforms, accurate biometric verification is a more crucial process than ever. Spoof attacks and techniques are becoming increasingly sophisticated. These fraudulent activities result in financial losses and expose individuals to identity theft and fraud risk. Identity theft saw a staggering increase of 113% in 2022 alone.
Two decades ago, fingerprint authentication was considered a groundbreaking, highly secure method. However, this standard method can be easily circumvented using everyday items like Play-Doh or silicone masks. Defending against presentation attack (P.A.s) within the financial technology industry becomes more accessible with a face-liveness check.
To truly understand the significance, impact, and limitations of face liveness check in the FinTech world, let’s delve deeper.
Face liveness detection is an advanced method used to confirm the authenticity of a person; it conforms to whether a user is live during authentication, not just in a picture or video.
Face liveness uses 3D liveness checks of the face, using an AI-driven liveness detection model; this sophisticated approach is used during biometric authentication to authenticate someone’s identity, particularly in face recognition and security applications.
The rise in cyberattacks and financial scams is a severe concern for individuals and businesses. As per FTC’s sentinel network report, the financial toll from these activities is significant, and consumers lost $3.3 billion in 2020, a hike from $1.8 billion in 2019.
During an active liveness check, Physical signs of consciousness, such as eye movement and facial expressions, are based on Active Liveness Testing.
Sometimes, banking applications ask you to create an account by making a specific eye, lip, or nose gesture; this is passive liveness detection.
Tax evaders in China used deep fake puppets controlled by an app to hack the government’s active identity verification system in March 2021, costing the country $72.2 million.
Those verification system does not require any actions taken into account, like the skin’s texture and features, the amount of light hitting them, and any slight movements. Further, scammers are not open to passive liveness checks, and it’s very accurate.
For example, facial recognition technology typically performs a real-time scan using your device. The method only requires a single frame to determine if a character is real or fake.
In the financial sector, 3D and face liveness checks are essential for the security and integrity of user identities. 3D liveness checks are based on computer vision algorithms to recognize and validate facial features in three dimensions, making it hard for criminals to trick the system with fake images or videos.
If a person is actually present during the verification process, it can be determined by these checks. 3D Liveness checks analyze facial motions, depth, and texture. Face liveness checks, on the other hand, concentrate on spotting indicators of life in a face, such as blinking, eye movement, or facial expressions.
The fintech sector can greatly improve the security of its platforms and guarantee that only legitimate customers have access to financial services by combining these two techniques.
Without a 3D liveness Check, protection against presentation attacks (P.A.s) is all but impossible. In reality, these types of frauds steal money and endanger you by committing fraud in your name. During 2022, identity theft rose by 113%.
Defending against presentation attacks (PAs) in the financial technology industry is almost impossible without a Face Liveness Check. In reality, frauds like this result in stolen money and put you in danger by committing fraud in your name. Identity theft increased by 113% in 2022 alone.
Remember the iPhone X Face ID scandal from a Vietnamese cybersecurity company? The technology, which is supposed to resist the attacks, was hacked with the help of a hand-crafted mask, and this is not any joke.
Identity professionals state that someone’s identity is stolen every 2 seconds worldwide, as it is a silent crime. Businesses worldwide must invest in intelligent biometric systems to combat these fastest-growing crimes.
One advantage of using a face liveness check is its ability to fight spoofing attacks. Unlike passwords or PINs, which can be easily compromised, face liveness checks ensure the person is in real-time and live, making it much harder for fraudsters to fake or manipulate identities.
Businesses are investing in intelligent biometric systems to combat the fastest-growing crime; it can benefit in other ways.
Facial liveness detection ensures that financial transactions are secure, accurate, and safe from identity fraud. It does this by providing the genuineness of the person making the transaction and preventing spoofing attempts.
Businesses can revolutionize identity verification by integrating liveness detection systems like Facia into existing mechanisms. They can balance security, cost, and efficiency without compromising user experience.
Implementing face detection technology has significantly enhanced security measures in various industries. Liveness detection verifies the authenticity of a user’s identity by detecting and preventing fraudulent attempts to access sensitive information or facilities. The benefits of facial liveness check include the following:
Face Liveness detection acts as a powerful defence against impersonation and spoof attacks. Users demonstrate real-time facial movements, such as blinking or nodding, verifying the presence of a live person and thwarting attempts to use static images or videos for fraud.
Organizations can strengthen their verification process using presentation attack detection solutions that can be integrated into any biometric authentication system. Facial recognition technology with liveness detection performs 3D liveness checks using advanced biometric techniques like 3D depth sensing and eye movement tracking to mitigate presentation spoofs causing risks of impersonation and fraud.
Traditional authentication methods can be vulnerable to spoofing techniques involving masks or impersonation. Face liveness detection provides added protection by detecting subtle facial nuances that are difficult to replicate using static counterfeits.
Active liveness detection provides dynamic authentication, unlike static methods like passwords or PINs. The verification process remains constant, ensuring high confidence in the user’s authenticity.
Liveness probes ensure the user is present and actively engaged in the face recognition process, reducing the risk of fraudulent activities.
Liveness checks simplify the authentication process; it makes the verification process as simple as taking a selfie. Users can verify their identity through natural actions like blinking, nodding, or smiling, eliminating the need to remember complex passwords or PINs.
With liveness checks, transactions become quicker and more streamlined. Users can complete their tasks without lengthy authentication procedures, making the process more efficient and convenient.
Liveness checks provide real-time validation, ensuring that users are promptly verified. This feature aligns with the fast-paced nature of digital interactions and prevents unnecessary delays.
Liveness detection provides defence against spoof and presentation attacks by preventing deceptive efforts to trick security measures using “fake faces.
Facial liveness checks bolster authentication during customer onboarding by preventing identity fraud attempts. It also provides secure access to accounts, minimizing the risk of unauthorized logins or account takeovers.
Financial institutions can adopt facial liveness detection as a part of a multi-factor authentication strategy to build a secure financial ecosystem. As liveness confirms the authenticity of potential customers, banks can meet regulatory requirements like KYC and AML. Liveness detection streamlines requirements like identity documents and proof of identity for all new accounts.
Liveness checks are pivotal in remote account management, offering users a secure avenue to access their accounts and conduct transactions remotely. This readiness probe streamlined the process and assures users of data protection.
During customer service interactions, face liveness checks validate customer identities before granting access to sensitive information or facilitating account-related actions. This active verification mechanism bolsters security measures while elevating the efficiency and Reliability of customer service interactions.
Face liveness checks at ATMs enhance user verification for cash withdrawals; it also helps mobile banking apps to leverage liveness checks to strengthen user authentication, ensuring only authorized individuals can access sensitive financial data and perform transactions.
Organizations can enhance their ID verification process by integrating liveness detection technology like Facia into their face recognition systems. As the FinTech landscape increasingly embraces biometric authentication, it is reshaping the future of security and redefining facial recognition.
Forecasts predict a remarkable surge in spending on identity verification, with estimates indicating that it will surpass $18 billion by 2027 from $4.93 billion in 2017, showcasing an impressive Compound Annual Growth Rate (CAGR) of over 26%.
Data compiled by U.K. Finance reveals a doubling of impersonation scams in the first half of 2023. Fraudsters successfully robbed a total of £129.4 million from victims during this period. By comparison, the same period a year prior saw 14,947 cases of impersonation scams resulting in £57.9 million in losses.
These statistics highlight the urgent need to enhance the security of biometric systems in the finance industry, an enhancement best achieved by integrating face recognition technology.
Fraudsters use tricky methods, like fake faces and other tactics, to try and fool security systems. That’s where liveness detection comes in.
Liveness detection is like a guard that watches over identity checks. It uses intelligent artificial intelligence technology that can tell if a live person is present or if someone is trying to use a fake face. Liveness detection makes sure that only real people have access to sensitive information.
It works alongside other security measures, like biometric authentication and face recognition systems. Together, they create a strong defence against fraud and protect our digital identities.
Liveness detection is a powerful tool in a world full of threats. It’s a blend of humans and technology working together to protect us from trickery and fraud. With liveness detection, we can trust that our digital interactions are secure and that our real faces are consistently recognized.
Facia offers a comprehensive Liveness Detection SDK, designed to seamlessly integrate into your systems. With our user-friendly API documentation, you can effortlessly implement and harness the power of Web SDK for enhanced security. Explore our SDK and dive into the API documentation to unlock a new level of protection against fraud and ensure the authenticity of every interaction.
Advanced facial recognition technology and biometric authentication systems enable businesses to ensure foolproof identity verification. These biometric systems rely on the unique traits of the human face, employing computer vision and artificial intelligence for precise face matching.
Liveness detection plays a pivotal role in this landscape, offering a definitive means to confirm the presence of a live person. As businesses continue to evolve, they must embrace cutting-edge facial recognition technology, incorporating active detection mechanisms and even multi-factor authentication. This commitment ensures the safeguarding of identities and the assurance of seamless, foolproof identification.
Experience the future of secure identity verification with Facia – Your Shield Against Unauthorized Access. Discover how our state-of-the-art solutions can revolutionize your security measures today.
Face liveness check adds an extra layer of security to the customer verification process, making it more difficult for fraudsters to impersonate individuals or use stolen identities. By leveraging Facia, banks can accurately verify the identity of customers, reducing the risk of unauthorized access and fraudulent activities.
Liveness check simplifies the customer onboarding process by eliminating the need for manual document verification and physical identification checks. Customers can complete the verification process conveniently and securely from their own devices, reducing the time and effort required for account setup.
Yes, face liveness detection is designed to detect and prevent presentation attacks, such as using photos, videos, or masks to deceive the system. AI-Driven algorithms analyze facial movements, micro-expressions, and other dynamic features to differentiate between a live person and an imitation.
Absolutely. Face liveness check is a robust defense mechanism against identity theft, ensuring that only genuine individuals are granted access to sensitive financial services and accounts. By verifying the liveness of the user, it becomes significantly more challenging for cybercriminals to manipulate the system and carry out fraudulent activities.
Face liveness detection can seamlessly integrate into banking systems and mobile applications. Financial institutions can leverage APIs and software development kits (SDKs) provided by Facia's identity verification solution to incorporate face-liveness check functionalities into their platforms.
While traditional masks or static images may pose a challenge, advanced face liveness check systems incorporate multi-factor authentication, analyzing factors like eye movement, facial expressions, and texture to detect the presence of a live person, making it difficult for fraudsters to bypass the check.
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