Meet Us at GITEX Africa
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
Beijing Normal University, one of the top universities in China, has introduced facial recognition in a female dormitory to keep out strangers. Facial recognition technology is increasingly common in China and is extensively used in many services including financial institutions, healthcare, public services, law enforcement, transportation, Education, and retail.
Identity fraud has become an alarming concern in academic institutes, especially in the United States, where imposters hack or deceptively obtain students’ identities to gain scholarships, enrollments, and other educational services. In some potential cases, imposters with unethical intentions use fake identities to apply for student loans, and financial aid in the disguise of deserving students.
In recent years, identity theft has become an increasingly distressing concern for educational institutes, especially for foreign exchange student programs, where imposters effortlessly use fake identities, evade student identification systems, and exploit student services for personal gains. The alarming rise of identity fraud not only impacts the financial well-being of students but also torments the psychological state of the victims.
Enrollment fraud has become a real-life nightmare for academic institutes and students. Research by the State Chancellor’s Office of California reveals that fake enrollment emerges as a distressing challenge in community colleges, with nearly 20%of applications reaching 46,000 being submitted by counterfeit identities. A criminal justice instructor at L.A. Pierce College disclosed that a drastic drop was noticed in spring enrollments after removing fake identities. The count substantially dropped from 7,658 to 4,937 making 35% of ghost applications, indicating how effortlessly imposters employ students’ identities deceptively to gain access to student services.
Bad actors are continually finding ways to fulfill their illicit maneuvers, and with the rise in advancements in artificial intelligence, it has become extravagant for imposters to accomplish their objectives. Prevailing scholarship fraud is posing significant challenges for the educational administration, making it arduous for them to authenticate genuine students and figure out who the deserving students are.
Americans lose billions of dollars each year in student loan scams, the amount lost in this particular scam reportedly mounted to nearly $5 billion in 2022. It is estimated that every two seconds, there is a victim of identity fraud, experiencing potential financial and psychological consequences. Imposters use stolen or hacked identities to apply for student loans and acquire services designated for certain students. This deceptive activity ruins the victims’ credit scores, and students’ legitimate loans are being denied.
A study by ProPublica and the Wall Street Journal discloses that many affluent parents in Chicago suburbs and dozens of people globally put their children in shame legal guardianships to avail of financial aid. The students were declared independent by presenting themselves as low-income students. Under false preferences, these imposters acquire financial aid, rerouting resources from genuinely deserving students, badly impacting low-income students.
Read More: Liveness Detection A Key To Anti-Spoofing For Identity Verification
There’s a rising interest in navigating the implementation of advanced automated facial recognition in schools to ensure accurate and precise identification of students, facilitate biometric attendance, and safeguard the integrity of student data privacy. In the 1960s, the first efforts were made to develop automated technology to verify identities based on physiological characters, including fingerprints and facial features, ensuring accurate authentication. Facial recognition has discovered applications in various industries globally, and it is now finding exciting opportunities in academic institutes.
Let’s briefly explore how face recognition technology improves student user experience and keeps out fake identities.
Attendance tracking is a time-consuming manual process for schools, colleges, and universities, consuming a lot of time for both students and administrators. However, advanced face recognition software deployed in academic institutions can considerably make attendance management efficient by eliminating the need to maintain sign-in sheets and manual roll-outs, saving both time and energy. Deploying robust facial recognition software at entry points makes it seamless for students to authenticate themselves based on their facial features and improves the check-in process. Upon every check-in, students scan their faces, the faces are compared against the available dataset of identities to confirm the authenticity of the claimed identity.
Imposters are everywhere, and they explore every avenue to accomplish their illicit maneuvers. They even attempt to torment education systems by gaining unauthorized access to premises to conduct criminal activities or using fake student IDs to avail services or privileges. Facial authentication technology enhances the security of institutional property by ensuring secure entry systems. The technology enables real-time alerts and flags suspicious individuals by analyzing the faces of every student entering educational premises.
Furthermore, biometric attendance improves students’ experience and makes it simpler for instructors to maintain student performance and engagement in class activities. Most important of all, students with disabilities or special needs can get themselves authenticated and get access to buildings or digital resources without presenting physical identity cards, offering contactless authentication. Additionally, facial recognition software trained on diverse datasets enhances inclusivity, equally verifying students from varying demographic groups.
The alarming rise of identity fraud is imposing serious consequences on students whose identities are being exploited for malicious purposes. Students are suggested to stay cautious and informed about the latest trends in ID fraud and implement robust preventive measures to safeguard their information.
Read More: Comparing Face Verification vs Face Recognition vs Face Identification
The rising threats of fake student identities in academia prompt institutions to deploy robust authentication technology in their enrollment systems, application processes, and checkpoints to authenticate genuine individuals effectively. Advanced face recognition software integrated with sophisticated AI algorithms and machine learning makes it effortless to verify the identity of students, keeping out fabricated or fake identities.
Enhance the security of educational premises and actively spot fake student identities with cutting-edge AI-powered facial recognition solutions, having the ability to spot fake identities. Facia employs bimetric liveness detection to actively determine the liveness of the claimed identity in less than a second, keeping fake students from accessing services or privileges. With a 0% false acceptance rate (FAR) & <1% false rejection rate (FRR), genuine individuals are accurately authenticated, and fake identities are warded off, enhancing the overall security of educational premises and safeguarding student information.
Facial recognition can improve student services by enabling automated attendance tracking saving time for both students and instructors, enhancing data security, and offering accessibility & inclusivity.
Student misidentification could potentially lead to denial of services to deserving students, wrongful security alerts, and inaccurate attendance records, raising a sense of stress and inconvenience.
The major privacy concerns regarding the use of facial recognition for students include risks of data breaches, continuous surveillance, processing biometric data without consent, misuse for purposes beyond initial intentions, and biased results.
24 Mar 2025
Fraud Prevention Strategies That Businesses Can Follow in 2025
In 2025, fraud prevention will become more difficult as...
06 Mar 2025
How Deepfake Detection Technolgy Transformed the 7 Major Industries
Deepfake technology is speedily growing from a specific artificial...
05 Mar 2025
Australia Forcing to Implement Age Verification Laws of Social Media
The government has also stressed that any verification processes...
Recent Posts
Replay Attack–How It Works and Methods to Defend Against It
Previous post
How Iris and Retina Scan Enhance Facial Recognition
Next post
Empowering Self-Sovereign Identity through AI Facial Recognition
Related Blogs