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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.
Careers Facia’s Journey at the biggest tech events around the globe
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 now know biometric liveness verification technology is dependable and convenient in fighting fraud attacks. This is why facial biometrics is expected to grow at a compound rate of 15.4% from 2021 to 2028. Facial recognition systems have grown more intelligent over the past few years as they assist online businesses in onboarding clients and law enforcement agencies in preventing crime, thanks to technological advancements.
Maintaining a loyal customer base is critical for established businesses and new ventures. Providing a positive customer experience fosters long-term consumer trust and brand loyalty, which are essential in order to a firm’s long-term success. Facial biometric technologies make it simple and safe for people to perform their daily jobs.
A person’s facial features can be digitally mapped using facial biometric technology such as liveness detection. Additionally, it gives a way to verify the attributes of the face that have been identified. In-depth examination of a user’s identification is possible with face recognition liveness check software, thanks to algorithms based on artificial intelligence and machine learning.
When it comes to business, the success of a product or service depends on a solid consumer base. Understanding your target market’s demands and developing simple and effective answers is the key to success. For new businesses and startups to remember that maintaining existing clients is at least five times as time-consuming as gaining new ones.
A company’s current consumers have a fair deal of knowledge about its products and services, which makes it easier for them to recommend it to others. When you keep customers happy, you have the opportunity to understand their needs better and provide them with customized solutions, which gives them fewer reasons to leave.
The days of manually verifying clients are over. Obtaining the customer’s ID information was time-consuming and labour-intensive, requiring extended waiting periods. On the other hand, a human mistake was a major hindrance to productivity. Another problem was keeping track of the verifications.
Companies no longer have to worry about operations being delayed because of clever solutions now in place. There no room for error when using facial biometric technology to identify users. Customer service is improved, and time is saved. Investing in workers and professionals for client identification saves the firm money.
Do identity thieves ever miss a chance to steal someone’s identity? They utilize the identities of legitimate internet users to carry out their criminal activities. Businesses and consumers alike should be alarmed that online identity theft happens every 14 seconds, even in 2022. It is not uncommon for fraudsters to utilize a variety of ruses to make facial recognition software believe they are the legitimate owner of an account. This makes it imperative for companies to have a comprehensive defence system in place to eliminate fraudulent identities.
AI has helped face biometrics improve despite criminals’ use of deep fakes, manipulated photographs, and replay attacks. Face verification technologies use artificial intelligence to analyze a person’s facial features to generate a unique face print. Facial spoofing attacks can be prevented by comparing the mapped image to a database of questionable identities. Facial recognition software such as liveness detection can help online businesses maintain their good name in the market and keep their consumers happy by preventing the use of fictitious identities.
Nowadays, customers are looking for organizations that can provide simple solutions in a secure environment. Facial biometric technology is ideally suited to the concept of customer security, which is closely tied to customer retention. In most cases, firms just install facial recognition software into their existing security systems and don’t have to think about it again. However, how does this benefit the company? Facial biometric verification does not require in-house development, saving the business money. In this approach, businesses can both provide their clients with a sense of security and reduce their administrative expenditures.
Contactless solutions have become a requirement in today’s society, where social alienation is commonplace. Online firms can use facial biometric technology to onboard new customers more quickly to speed up the Know Your Customer (KYC) procedure. There is no requirement for physical verification with facial recognition systems. Using a smartphone camera as a reliable source of contactless facial verification has become commonplace in recent years. Besides, users don’t have to be concerned about fingerprint identification security flaws like filthy hands.
The success of a facial biometric solution is highly dependent on the accuracy of this solution. Advances in 3D face liveness solutions have made it possible to verify customers’ identities in real time. Online businesses can confirm that the person behind the camera isn’t holding a paper image of a face or engaging in a replay attack thanks to new and enhanced liveness detection technology. Businesses can accept real and legitimate clients using facial biometric technology in a safe and trusted environment.
Biometric theft is a persistent concern in the digital world, and it directly impacts the consumer experience. Facial spoofing attacks, including 3D masks, hyper faces, eye-cut, and paper-based pictures, can be countered using facia’s face verification. The approach uses mapping techniques based on artificial intelligence to authenticate a person’s identification quickly.
Facia’s 3D depth sensing technology analyzes micro-expressions and skin texture, ensuring that its results are correct. Customers are likelier to stay with an online business that has implemented a face verification solution since it is simple and reliable.
Facial biometrics technology can help online businesses keep consumers by allowing them to sign up quickly and verify their identity through a secure channel.
Liveness verification confirms a biometric sample is from a real, present person rather than a fake representation. It’s crucial for preventing spoofing attacks and maintaining security in identity verification systems.
Face liveness detection uses algorithms or sensors to identify signs that the face presented is genuine, often by analysing movement, light reflection, or response to specific prompts.
Liveness verification distinguishes real people from fakes, preventing spoofing. Face recognition, meanwhile, identifies or verifies individuals by matching facial features to stored data.
An example is passive liveness detection, where the system analyses subtle facial movements and light reflections to confirm the presence of a live person.
In Know Your Customer (KYC) processes, a liveness check ensures that biometric data comes from a live individual, reducing the risk of identity fraud during onboarding.
Face liveness detection enhances security in online identity verification, banking, and remote onboarding by preventing spoofing attacks, ensuring accurate identification, and protecting sensitive data.
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