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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
Face recognition technology completes the passenger verification process by cross-matching online videos and images, matching them with faces in pre-existing databases according to the user’s facial features and skin texture. Face recognition systems at Dubai Airport in UAE witnessed 21.55 million travellers in 2022, a sharp increase from 12 million passengers in the previous year.
The face recognition market is driven by improving individual productivity to reduce human intervention and save time. From providing security at airports to social media or law enforcement agencies, the face biometric verification system has proved important and is definitely a future part.
Facial recognition robots are becoming standard in the digital age as more firms want to secure their customers through advanced verification systems. The robot has a face recognition system to recognise persons by capturing their facial features. They are used for various different reasons, including:
Robots can meet and greet clients, provide quick assistance and information, and customise social interactions according to another person’s identity.
Robots use face recognition services to detect suspicious users and recognize the authorised workforce.
In UAE airports, these face recognition robots are customised for specific tasks, such as standing like a guard at exit and entry points, to provide accessibility to scammers. They also strengthen the user experience by portraying relevant information and content. These robots are under development in UAE and raise fee issues related to potential misuse, privacy, and biases.
Facial recognition robots work on the following basic steps:
The robot recognises every face with a few nodal points and takes different measurements after capturing individual faces in real-time using a video or image. This captures features such as nose length, how deep a person’s eye sockets are, nose width, distance between checks, and face length from chin to forehead. The robot will capture 80 different face measurements.
Face recognition robot converts information into face signatures and then convert this information into mathematical representations that portray a distinctive facial signature. Then, automatically compare unique individual signatures with the pre-recorded information in a database within a few seconds.
The UAE government has shown incredible support in the development of face recognition technology by implementing face biometric verification solutions across different industries to verify individual identity, avoiding paperwork and saving time. The UAE Ministry of Interior, in his tweet, also stated that they will expand and facilitate financial transaction completion processes. Face recognition is used in a few private sectors to authenticate the user’s personal identity rather than submitting a lot of paper documents.
The UAE will introduce facial recognition technology to complete government transactions instead of using a physical ID card https://t.co/At4ZoEhe5g — Dubai Media Office (@DXBMediaOffice) February 14, 2021
The UAE will introduce facial recognition technology to complete government transactions instead of using a physical ID card
https://t.co/At4ZoEhe5g
— Dubai Media Office (@DXBMediaOffice) February 14, 2021
Biometric verification will reduce the need for any traditional means of authentication, including official documents that provide seamless and secure verification procedures and enhance services. Face recognition helps users to get remarkable outcomes on ad campaigns, law enforcement, shopping centers, understand audience-level interest in retail stores.
At an exhibition of Gitex Global, a Kiosk was introduced that allows UAE residents and nationals to complete their biometrics procedures and renew their passports at any time. Behind the model project is Identity, Citizenships, Customs and Ports Security (ICP), which will implement kiosks in different locations in the country, specifically malls and airports. In the first trial, visitors and residents will provide their biometrics through the kiosks, eradicating the need to schedule an appointment with the ICP service center. At the kiosk, a printer will permit UAE visitors and nationals to print visas and passports. To get sim cards, visitors can also do biometrics to be recognized as legitimate persons. The kiosk can also capture images, signatures, and fingerprints.
Watch a Live Demo of how face recognition works at the Airport
Face recognition robots expedite the customs procedure and address passengers’ questions at Abu Dhabi Airport. Robots have different sensors and advanced cameras that can quickly analyze facial imprints and body language up to six meters away from many individuals. Robots will also reduce the language barrier by effectively communicating in their native language and quickly determining gender and age verification to speed up the custom procedure. One of its primary benefits is determining client satisfaction and speeding up the customs process through face recognition. The robot was displayed in 2023 Gitex Global at the Dubai World Trade Centre.
The Midfield Terminal Building is the first worldwide airport to do biometric verification at all touch points. The face recognition technology will offer passengers a “curb-to-gate” orderly, smooth, and contactless facility. Clients will also experience shorter wait times and queues. Development in phase one of face recognition at Abu Dhabi Airport portrays their commitment to reshaping the passenger experience.
The advanced biometric technology enables airports to provide quality service to passengers. Khaleej Times stated that the UAE implemented a face recognition service at Abu Dhabi Airport in December 2022, requesting passengers to use their faces as boarding passes rather than tickets, and this new program has been implemented in a few airports. Abu Dhabi will also launch AI solutions for self-service baggage checkpoints, boarding gates, and immigration e-gates before installing them at every airport.
Face recognition technology will facilitate stress and hassle-free travel at every step, which is the future airport’s backbone. Passenger’s face will be their boarding pass soon, ensuring a seamless travel experience.
Ibrahim Al Mannaee states that implementing AI biometrics is an essential component of the Emirate’s digital revolution plan, and the UAE’s primary goal is to have the most electronic airports. After completing this project, it will be one step closer to reality. Abu Dhabi airport will be the first airport in the state to implement face recognition technology at every passenger touch point.
In the future, they will deliver convenience, service excellence, and efficiency. UAE will use biometric technology at every step of the traveller’s journey, ensuring a secure and trouble-free trip for everyone worldwide. High-tech cameras are installed at passport control, boarding gates, business class lounge, and self-service luggage drop to investigate passenger data.
Facia face recognition technology revolutionizes airport procedures by providing a more convenient, secure, and faster travel experience by speeding up boarding and reducing congestion and queues, specifically during peak hours.
Their systems also recognise criminals or suspects quickly, helping airport security. The passenger experience will also improve due to the contactless boarding process, especially for health-concerned passengers. Face recognition technology is potentially being tried and applied as a substitute for traditional boarding passes at UAE airports.
Transform Passenger Experience through Facia’s face recognition technology! Contact us today.
A face recognition robot is an autonomous machine equipped with cameras and artificial intelligence (AI) software. It can identify and verify individuals by analyzing their facial features. These robots utilize advanced facial recognition algorithms to match captured images with a database of stored information.
Face recognition robots are deployed in various environments, including airports, shopping malls, corporate offices, and security checkpoints. They enhance security and can even provide personalized services.
Face recognition robots capture images of faces using built-in cameras. The AI software then processes these images, extracting facial features and comparing them with a database to identify or verify individuals.
Data collected by face recognition robots is typically used for security purposes, access control, and personalized services. This data is stored securely, often encrypted, and subject to privacy regulations. It can be used for real-time monitoring or future analysis.
Facial recognition robots enhance airport security by automating identity verification. This reduces human error and speeds up the security process. They can quickly identify unauthorized individuals and alert security personnel, improving overall safety and efficiency.
The first facial recognition robots were implemented at Hamad International Airport in Qatar. These robots were deployed to enhance security and streamline passenger processing.
The concept of the first robot is often credited to George Devol, who invented the first reprogrammable manipulator called "Unimate" in 1954. Devol's Unimate was designed for industrial tasks, aiming to automate repetitive and dangerous jobs. The Unimate was first implemented in a General Motors assembly line in 1961, where it handled die-casting and spot welding, paving the way for the modern robotics industry.
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