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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
The process of identifying an individual and deciding whether or not they should be allowed into a system or a building with modern identity solutions like Facia is somewhat complex, involving multiple steps that can be difficult to keep separate in your head.
There is a different function that is performed in each of these processes. The process must occur quickly and accurately for the system to be reliable enough for professional use. The average person often tends to confuse these terms with each other. But worry not, we shall help you to understand the differences and distinctions between these seemingly similar processes.
So, in today’s blog, let’s compare Face Verification vs Face Recognition vs Face Identification, and as a bonus, we’ll tell you how Facia makes life easier for you in each one of these processes.
We will start, out of these three concepts, with facial recognition. This is because face recognition is considered to be a general-purpose all-encompassing term that includes all the different kinds of facial authentication and identification processes and systems. It generally refers to the technological concept of recognizing a person’s face based on their facial features.
A face recognition process employs multiple technologies, the most well-known of which of course is artificial intelligence. It also involves things known as neural networks, deep learning, and other related systems to create a highly accurate identification and/or verification system.
Now, let’s talk about the two major subcategories of this process.
Face verification is described as the system of confirming whether an input face or individual matches one of several stored and pre-approved faces and identities. This system usually involves a local/on-premises database that approved individuals have previously been onboarded onto.
In technical terms, this kind of face authentication solution is usually referred to as 1:1 Face Matching, as the process involves you matching and comparing one face with another face to see if they are the same.
The main use case of this technology is in access and user authentication systems, where specific individuals are supposed to be allowed access. For this purpose, their identity is verified using facial recognition, and then either physical access to a building or premises or digital access to an account is provided. This is a form of image-to-image matching.
Another use of this system is image-to-video matching. In this mechanism, an image is checked against a piece of real-time video footage to detect the individual and prevent fraud. This system is ideal for systems in which tracking an individual’s movements in real-time is required.
Now let us tell you some of the benefits that you can get from using Facia’s 1:1 face-matching solution:
Face identification is described as a process of identifying who an individual is by checking their face against one or multiple databases that contain records of known individuals and their identity details. These databases are not local and are instead usually cloud-based or otherwise in digital form.
This process is technically referred to as a 1:N face search, as there is an indeterminate number of faces or individuals that the input face will be matched against. The matching usually goes on until the entire database has been checked against, and all identities the input matches against are then displayed as output (or if there is no match, the software indicates as such).
Face identification technology is more suited for more in-depth investigation and identification in individuals, scenarios where the identity of the individual is not known and sometimes there is very little other information to identify them. This can include situations like surveillance of public or sensitive spaces, or during things like criminal investigations by law enforcement.
The system is also quite useful for easier check-ins on airports, especially during things like immigration, and for general border control. It can also be used to make better, more tailored experiences for customers in places like the hospitality sector.
Also Read: Bolstering Border Security Through AI-Powered Liveness Detection
Here are some of the benefits that you can get from using Facia’s 1:N face search solution:
Checking if an individual is allowed.
Checking who an individual is.
Based on the individual customer’s needs and requirements.
Involves straightforward comparison against saved faces.
Involves extensive searches across a database/databases.
Considering all three terms are very interrelated, and often co-exist, it is not that odd that all three phrases are often substituted for one another.
All three terms involve the use of facial features for determining an individual’s identity. In addition, since face recognition includes both identification and verification, it makes sense that it is often used to refer to both of these technologies as well.
Generally speaking, the distinction in everyday language between identifying someone and verifying their identity, can seem relatively negligible and very minor. Marketing departments of these companies often take advantage of this fact to simplify marketing language and make it easier for customers to understand the technology.
Now you should be able to understand the differences between these common terms. The good news is we here at Facia are devoted to making your lives easier without compromising on quality. If you want to learn more about how Facia can enhance your authentication and security systems, contact us today!
Face recognition refers to the general process of determining who an individual is through one of many different mechanisms. It can be done through multiple different solutions, just one of which is a face verification process.
Face verification is the specific process where a face is compared to a database of other faces, to verify that the individual is who they say they are. In this system an input face is compared with a set of pre-saved faces, to see if it matches any one of them.
Face identification is a process where an image of the face of an unknown individual is run through one or multiple databases that contain identification information of individuals. The purpose of this check is to identify who the individual is and is commonly used for surveillance and similar purposes.
Face recognition on the other hand is a general term for determining who an individual is, one of the possible ways of doing this is face identification. Although distinct, the terms are sometimes used interchangeably as both deal with identifying people based on faces.
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