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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
With the advent of technology, businesses are evolving, and adopting new techniques to automate daily operations. Biometric verification is one of those processes getting completely revolutionised with new technologies. At first, fingerprints led the biometric market, but later on were replaced by facial recognition solutions. The shift was seen especially during the pandemic when physical contact was limited. Now as technology-driven solutions are growing, new methods of verification, like iris recognition systems, are being introduced that offer more accuracy and do not rely on any physical scanners.
Iris recognition refers to verifying a person using the coloured part of the eye, i.e., Iris. This method verifies and authenticates the individual’s identity. According to the latest report, the iris recognition market size is growing at a CAGR of 17.7% and is expected to reach $8 billion by the end of 2027.
This blog will discuss the importance of the iris recognition system in the modern biometric landscape, highlighting its pros and cons compared to other prominent solutions across the global identity verification (IDV) market.
As briefly explained above, iris recognition is an evolving technology that uses human eye data to differentiate and verify an individual. It is a reliable solution that offers higher accuracy whilst limiting the risk of onboarding fraudsters. An iris recognition system refers to an automated solution that compares different people’s unique characteristics and eye patterns. Organisations employ this solution to verify their customers, stakeholders, investors and other entities involved in the business. Until now, iris recognition systems have not been the go-to option for most businesses compared to face verification and fingerprints, but they hold an exceptional accuracy rate, and the future of this solution seems bright.
Iris biometrics uses human eyes to verify their identity. It is a much more reliable and accurate solution in the modern industry. This verification method is employed in sensitive networks where enterprises need to ensure 100% security. These firms include law enforcement agencies, cybercrime prevention offices and nuclear power plants. One downside of the iris recognition system is its requirement of specific hardware components. Unlike other solutions such as face and voice recognition, which only need a camera and a microphone to work, the iris recognition system needs dedicated hardware to be added to the system that is responsible for accurate eye-scanning.
In the context of other biometric scanning solutions, the iris detection technique has pros, which will be discussed later. But in comparison, it beats both the fingerprint and facial recognition solutions regarding accuracy. Below is the breakdown of the iris recognition system with fingerprint reading solutions and facial recognition:
Fingerprint scanning is the first biometric solution that was incorporated by businesses worldwide. In this technique, people use their fingerprints to verify their identities. The drawback of this solution is that fingerprint marks fade with ageing. It is a natural process, and for many adults, after crossing a certain age, for instance, late 60s, many scanners fail to detect the actual marks and decline the verification attempt. Compared to fingerprints, the human iris proves to be a fruitful option as it doesn’t rely on physical touch.
Facial recognition solutions became popular during the pandemic when physical touch was limited. It proved a very efficient method as many industries started deploying these systems. For instance, the mobile phone market made face verification a primary choice for unlocking mobile phones. The drawback to this system is the accuracy of complex attacks. This is why attackers can easily bypass these systems using silicone masks and other ways of spoofing.
Iris Recognition excels in the biometric verification solutions due to its accuracy and other advantages it offers to businesses. As irises can also differentiate between identical twins accurately, companies that want foolproof security implement this system. Here are the top 5 advantages iris recognition systems provide over other traditional methods of verification:
Iris recognition technology is much faster and requires the least scanning time compared to other methods. It is not false to say that iris recognition solutions are one of the fastest biometric matching solutions in the market. It has very low false acceptance and rejection rates.
Accuracy has always been a problem for biometric verification solutions in the industry. This is why spoof attacks have become a common practice for attackers. The false rejection rate is much lower compared to fingerprints. Users just need to look into the dedicated iris scanner, which instantly detects the eye’s colour, evaluating the iris and identity, all in real time.
For fingerprints, attackers can copy the print code and use it on various other scanners to gain access to the system. Similarly, new methods of spoofing and deep fakes are becoming accurate enough to bypass face recognition systems that do not use the sophisticated modern approach. With current spoofing attempts, Iris recognition is nearly impossible to forge, as the threshold is very low. This is why sensitive businesses implement this technique to protect against potential fraud.
Iris recognition systems are stable, meaning that they can work for a long time. As the human iris doesn’t degrade with age, all the iris biometric tools are well-stable for biometric verification.
Iris recognition technology doesn’t require any physical contact with the sensor as the scanning operation is carried through the air and light. It is more hygienic and less intrusive compared to fingerprints.
At Facia, we handle iris recognition biometrics the same way we do with other verification methods. We believe in staying neutral when it comes to software and algorithms, exclusively using the top-rated ones by NIST. Our biometric solutions are designed to work with any iris scanner device and algorithm from any vendor. This includes hardware and algorithms from different vendors, and we seamlessly integrate them to offer our customers a personalised solution at an off-the-shelf price. Talk to our experts to get a complete walkthrough for your specific business.
The term 'eye scanning' refers to various technologies used to capture and analyze characteristics of the human eye for identification and security purposes. This includes iris recognition, which uses the unique patterns of the iris, and retinal scanning, which examines blood vessel patterns in the retina.
Iris recognition captures a high-resolution image of the eye (coloured part of the eye) using infrared light. Special software analyzes unique patterns in your iris and creates a digital code (iris template). This template is then compared against a database for identification or verification.
Iris scanning is one of the most accurate biometric methods available. Its error rate is extremely low, (0.1-0.2, 1:10 million) with a high degree of reliability (99.33%) in matching accuracy. The uniqueness of iris patterns, even between identical twins, makes it highly effective for secure identification.
While iris recognition provides high security, no system is foolproof. Techniques like using high-quality photographs or sophisticated artificial eyes have been attempted to bypass iris scanners. However, modern systems employ live detection features that distinguish real eyes from replicas by detecting natural eye movement or pupil dilation.
Limitations of iris recognition include:
No, identical twins do not have the same iris scan. The iris is highly unique, and its pattern is not determined by genetics. Instead, it develops randomly as the fetus grows. This randomness ensures that each iris is unique, making iris recognition an effective biometric even for identical twins.
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