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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
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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
Has the world transitioned into a fully digital ecosystem of payments? Are we truly, accurately, securely, and swiftly witnessing biometrics being used not only as an identity-proofing technology but as a secure payment gateway solution too? Isn’t it enough for the world to embrace facial recognition as the only required biometric payment method?
The global biometric market is experiencing significant size growth, which reportedly generated $8.84 billion in 2022 and is set to grow by $31.24 billion in 2030. Businesses must start switching to facial recognition that will not only secure users’ financial interactions but also empower them to control their financials. Rest assured the element of data privacy and other concerns pertinent to the use of biometric payments, we shall talk about it in this blog in detail guiding our readers on how biometric payments work and why facial recognition is considered the prime biometric technology in the financial sector.
Biometric payments, a point-of-sale (POS) technology, is an advanced way to conduct financial transactions, using unique biological characteristics of the users to authenticate their identity before processing a potential transaction. Distinct biometric identifiers such as fingerprints, facial profiles, voice patterns, or iris scans are employed to confirm the authenticity of the claimed identity.
Facial biometrics is the most secure and reliable approach out of all biometric modalities, as it’s daunting to spoof unique facial attributes. Face biometrics makes it seamless for users to conduct transactions or payments using their faces, eliminating the need to remember complex passwords and present physical ID documents. In 2019, E SUN Commercial Bank in Taiwan made history by launching the world’s first automated ATM equipped with facial recognition technology, enhancing user convenience by offering contactless transactions.
Face biometric systems are becoming widespread authentication tools transforming digital banking and improving user experience. Facial recognition uses advanced cameras and artificial intelligence algorithms that minutely analyze facial features and authenticate users by cross-referencing face biometrics against available datasets of stored IDs, enabling faster payments.
Authentication via unique fingerprint patterns is the most commonly used ID verification method and is prevalently used in unlocking smartphones, biometric card payments, and POS systems. Fingerprint recognition systems scan and analyze unique ridges and valleys present on fingertips and match it against the stored information for accurate verification of users.
Voice recognition, iris, or retina recognition are also employed in individual’ verification. Retina recognition is considered the most accurate and reliable biometric identifier, as it’s challenging to replicate or spoof intricate retina patterns. Technical challenges and user unfamiliarity are the few hindrances in the widespread adoption of these biometric modalities.
Biometric payment solutions emerge as a secure and reliable alternative approach to traditional methods of ID verification including passwords, PINs, or physical documents, which are prone to replication or spoofing.
A study reveals that the global market for biometric payments was valued at $8.4 billion in 2023, and is projected to surge to $37.4 billion by 2033, with an annual growth rate of 16.3% from 2024 to 2033. The major drivers behind adopting biometric payment solutions are the increasing demand for secure transactions and the escalating threats of cyberattacks.
Biometric authentication technology has garnered great attention since the mid-2000s, and many settings including grocery stores, retail stores, convenience stores, and gas stations are implementing this technology to ensure secure and expedited transactions. Interestingly, banks and money service businesses use face-recognition payment systems to secure financial transactions and enhance user convenience.
The payment process occurring through facial recognition involves three basic steps briefly expanded below
Thanks to the use of biometric technology, Siam Commercial Bank declares that it only takes 9 minutes to open bank accounts or trading accounts. Customers are just asked to present ID cards, scan their faces, and sign electronically to complete the e-KYC process.
Biometric banking is undergoing a rapid technological transformation, offering secure, reliable, convenient, and contactless payment methods. Money service business (MSB), the term refers to a broader definition of financial institutions, encompasses money exchange, online payment platforms, money transfer operators, and remittance providers. MSBs have witnessed a major transition in recent years with technological innovation, face payment is one of the monumental innovations happened so far.
MSBs are largely implementing pay-with-face technology which authenticates and authorizes financial transactions by analyzing the unique facial attributes of the users. A unique facial profile for each user is created by minutely analyzing the distinct facial features and this profile is used to verify identities when someone is seeking to make potential transactions or entering into financial systems. Face recognition payments (FRPs) are transforming MSBs in multiple ways, the essence of which is shortly briefed here
Rather than undergoing cumbersome verification processes or presenting physical ID documents, face payments make it seamless for users to get themselves verified accurately. This makes the authentication process faster and flags spoofed identities in real-time, combating the threats of fraudulent activities.
Face payments offer expedited and efficient transactions, by quickly scanning the user’s face and matching it against the available registered identity dataset. Facial recognition payment systems enable faster transactions as compared to traditional methods of asking for passwords and other personal details.
Face recognition payment enhances financial inclusion by offering secure and reliable payment options for individuals in underserved communications, who may not have access to bank branches or ATMs.
Many areas in China have significantly dropped the use of cash for accessing services or purchasing products, especially after the COVID-19 pandemic. Many physical stores in China don’t accept cash payments, transactions are either made through mobile payments or scanning QR codes. China has introduced “pay by face” payment methods, where customers just scan their faces to gain access to services and are no longer required to carry wallets or even use mobile phones for making payments. A study reveals more than 495 million Chinese used the face payment method in 2021 to access multiple services, accounting for one-third of the total population.
In 2021, the Moscow Subway in Russia introduced facial recognition payment systems, enabling passengers to make payments just by scanning their faces. This metro system is one of the most crowded subways in the world and made history by becoming a pioneer in using check face ID for making travel payments. Over 240 stations have installed face recognition payment systems, making it effortless for passengers to make contactless payments.
Despite the remarkable applications associated with the use of face-recognition payment systems, there are potential challenges and considerations associated with their adoption.
Yet, widespread adoption is hindered due to technical complexity, social acceptance, and privacy concerns. Businesses venturing into this journey must ensure that face recognition payment solutions have clear & transparent policies about biometric data processing and offer seamless payment methods, enhancing user satisfaction. Secure biometric payments with Facia, an AI-powered facial recognition solution, streamlining the enrollment, authentication, and authorization process. With a 0% false acceptance rate (FAR) and <1% false rejection rate (FRR), Facia accurately authenticates genuine individuals and flags fraudulent identities in real-time, enhancing the overall security of financial systems.
A survey about the adoption of passwordless authentication conducted by Statista in 2023 revealed that half of the businesses in financial services and retail are preparing to introduce passwordless authentication. Nearly 60% of the survey respondents revealed that they intend to replace passwords with biometrics. Biometrics form the foundation of passwordless authentications, and the emergence of biometrics in payments is significantly transforming the financial world, proving itself a reliable solution and catering to growing customer expectations.
Biometric payments refer to digital transaction methods that rely on unique physical or behavioral characteristics of individuals such as fingerprints, voice notes, or facial features to authenticate individuals and approve transactions.
One of the most notable examples of biometric payment can be linked to Amazon One, a biometric-based system that authenticates uses by scanning palms, offering contactless and cashless payment methods.
Face card payment refers to a biometric payment where the user’s face acts as an identifier and financial transactions are made by scanning the face without requiring mobile devices or physical cards.
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