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.
Block listed & Stranger Prevention
FaceMe® provides highly secure, easy-to-use, flexible and contactless biometric solutions for eKYC and other fintech use cases.
Works with Edge & Server
Cross Platform Support
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).
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.
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.
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.
Scan photo ID
Capture a live photo
1:1 face match comparison
FaceMe® eKYC & fintech solutions enable precise identity verification when customers log in or create an account for secure transactions.
Open a Bank Account
Cardless ATM Transaction
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
Access Control System
Remote Customer Service