FaceMe® eKYC & Fintech

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

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.

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.

See how it works
Scan photo ID

Capture a live photo

1:1 face match comparison

Electronic Passport

The electronic passport, or ePassport, is one of the safest means of identification. It is issued by over 150 countries, all using a microchip readable by NFC (near field communication) technology.

When installed on a device equipped with NFC technology, for example a smartphone, FaceMe® can instantly extract the microchip’s data to validate someone’s identity. Combined with 1:1 face match, FaceMe® instantly performs a precise authentication that can streamline customs clearance, and also enable secure mobile access to financial services or any other relevant application.

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

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.

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Person detection and facial features extraction

Comparison match with facial database

Confirm identity

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