FaceMe® eKYC & Fintech | Overview | CyberLink
FaceMe®

FaceMe® eKYC & Fintech

Facial Recognition Solutions for the Banking,
Financial Services and Insurance (BFSI) Industry

FaceMe® eKYC & Fintech offers the banking, financial services and insurance industry secure real-time biometric verification that can be easily deployed at the edge and on the cloud.

FaceMe's technology offers financial institutions the ability to deploy eKYC solutions that match a person's photo to their ID, which protects customers against biometric fraud, in the wide range of fintech applications.

Comparison of Mainstream Biometric Identification Technologies

Fingerprint
Iris
2D Facial Recognition
3D Facial Recognition

Accuracy

High
High
High
High

Ease-of-Use

Medium
Poor
High
High

Speed

High
Medium
High
High

Hygiene

Low
Medium
High
High

Special Hardware

Fingerprint sensor
Iris scanner
2D camera on device
3D depth camera

Hardware Cost

Low
High
Low
High

Remote Enrollment

Impossible
Impossible
Very Good
Good

Block listed & Stranger Prevention

Impossible
Impossible

Very Good

Very Good

FaceMe® provides highly secure, easy-to-use, flexible and contactless biometric solutions for eKYC and other fintech use cases.

Why FaceMe® for Banking, Financial Services and Insurance (BFSI)

  • Highly Accurate

  • Secure Anti-Spoofing

  • Works with Edge & Server

  • Cross Platform Support

  • Highly Accurate

    Based on machine learning and deep neural network, FaceMe® has an accuracy rate (TAR, True Acceptance Rate) of 99.7% at 10-4 FAR. It ranks amongst the most precise and fastest facial recognition engines in the NIST’s Face Recognition Vendor Test (FRVT).

  • Secure Anti-Spoofing

    FaceMe®’s anti-spoofing technologies provide highly secure, accurate liveness detection to protect against biometric fraud, with both 3D and 2D cameras. The technology also supports structured light scanners, time-of-flight (ToF) cameras, and other mainstream 3D imaging technologies required for ATMs and opening of bank accounts.

  • Offerings for Servers & Edge Devices

    FaceMe® can be deployed at the edge, on server, and in hybrid environments. It is also optimized for 1:1 facial recognition performed on handheld devices to log in to online banking services. Install FaceMe® on internal servers to process 1:N biometric verification by comparing features extracted.

  • Optimization for Cross-Platform Solutions

    Built for Windows, Linux, Android, and iOS, FaceMe® is ideal for cross-platform solutions. FaceMe® provides system integrators with HTTP API with flexible and convenient settings to deploy biometric identity verification at the edge or on the cloud.

FaceMe® eKYC & Fintech Solutions

1:1 Biometric Verification

  • A customer captures a photo of their face and scans their ID card for personal verification. 2D or 3D cameras can be used for 1:1 face match between the ID card and the actual person.

  • Scan photo ID

    Capture a live photo

    1:1 face match comparison

Biometric Verification Use Cases

FaceMe® eKYC & fintech solutions enable precise identity verification when customers log in or create an account for secure transactions.

  • Open a Bank Account

    • Customer requests to open an account
    • Bank clerk takes the client’s photo and scans ID card
    • Biometric verification via facial recognition system
    • Digital authentication complete
  • Cardless ATM Transaction

    • Customer's face captured by ATM's camera
    • 1:1 Face Match with database
    • Customer enters PIN for 2nd authentication
    • Identity is confirmed
    • Start transaction
  • Mobile Banking

    • Login to bank app with ID & password
    • Scan ID and take a selfie for anti-spoofing
    • Combine ID with physical biometrics for identification
    • Biometric verification complete
  • Insurance Services

    • Customer enters insurance information via tablet
    • Agent captures client’s photo, scans ID card and compares with data stored on the server
    • Biometric verification complete

1:N Identity Recognition

  • When a person is detected, their facial features are extracted and matched in a database. Once their identity is verified, it can recognize and categorize the individual as a VIP, a block listed person or a stranger.

  • Person detection and facial features extraction

    Comparison match with facial database

    Confirm identity

Identify Recognition Use Cases

  • VIP Identification

    • People entering are detected by camera
    • App determines if a person is VIP
    • System confirms VIP identity
    • Staff is notified of the person's arrival on an instant messaging app
  • Block List

    • People entering are detected by camera
    • App determines if a person is on a block list
    • System confirms identity
    • Security guard is notified on an instant messaging app
  • Access Control System

    • People are detected by access control system
    • Facial recognition scan via the access control system
    • Identification verified
    • Person is granted or denied access
  • Remote Customer Service

    • Users contact customer service via video call
    • Facial features are extracted from the camera after obtaining consent from the customer
    • Features are matched with database profile
    • Staff provides customer service after identification is confirmed

Market Insights & Download

  • Facial Recognition at the Edge - The Ultimate Guide 2021
    Learn about the benefit of enabling facial recognition on the edge IoT.
    2020/12/07
  • Facial Recognition Turns KYC into eKYC for Fraud Prevention
    Learn how BFSI industry adopts facial recognition eKYC solutions
    2021/01/07
  • AIoT and Facial Recognition Applications
    AIoT (Artificial Intelligence of Things) & use cases facial recognition
    2020/12/18

For further information on CyberLink FaceMe® engine